Adding Automation to PRNT’s 3D Printing Thesis – ETF Trends

The ARK3D Printing ETF (CBOE: PRNT) is higher by 24% year-to-date, but there could be more in the store for the ARK fund as 3D printing companies increasingly tap into automation.

PRNT, the original and still only exchange traded fund focusing on 3D printing equities, is positioned to capitalize on growth in the automated 3D printing arena.

The Automated 3D printing market was valued at $507.8 million in 2020 and is expected to grow at a CAGR estimated around 37.14% over the forecast period (2021 2026), according to Research and Markets.

Automated 3D printing is another example of two disruptive technologies intersecting. For example, robotics are playing an increasingly prominent role in the 3D printing movement, indicating another ARK Invest ETF the ARK Autonomous Technology & Robotics ETF (CBOE: ARKQ) could be another idea to consider on this front.

Over the years, researchers around the world have been working towards developing solutions and methods that would cater to the demand for automation in 3D printing, one such approach was the combination of robotics technology with 3D printing to automate the tasks although it initially did not gain much momentum owing to its complexity, however, with vendors integrating simulation software with their robotic 3D printing technology is driving the growth of the market, notes Research and Markets.

The rise of automation in the 3D printing space could bolster the groups already fast-growing list of industry-level applications. Those include aerospace, automotive, energy, and healthcare, among others. 3D printing can also enhance precision manufacturing while reducing companies vulnerabilities to global supply chain disruptions.

Following significant disruptions at the hands of the coronavirus pandemic, the present environment is ripe for automated 3D printing growth. A recent study by the National Conference of State Legislatures indicates the U.S. is importing trillions of dollars worth of goods tied to aerospace, automotive, healthcare, and industrial demand goods that 3D printing can produce right here in the U.S.

Already the biggest user of 3D printing technologies, the industrial sector is seen as a key driving force in pushing 3D printing to a nearly $63 billion global industry by 2028.

The $557 million PRNT, which is one of two passively managed funds in the ARK stable, turns five years old later this month. The fund tracks the Total 3D-Printing Index.

For more on disruptive technologies, visit our Disruptive Technology Channel.

The opinions and forecasts expressed herein are solely those of Tom Lydon, and may not actually come to pass. Information on this site should not be used or construed as an offer to sell, a solicitation of an offer to buy, or a recommendation for any product.

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Adding Automation to PRNT's 3D Printing Thesis - ETF Trends

OMD Sees Campaign Results Skyrocket by Using IAS Automated Tag with Google – Yahoo Finance

The latest technology from IAS reduces tag wrapping time by 50% and increases campaign ROI in the APAC market first

SYDNEY, July 12, 2021 /PRNewswire/ -- Integral Ad Science (NASDAQ: IAS), a global leader in digital media quality, and OMD, the world's largest media network, today announced a case study on time saved and ROI achieved for two of OMD New Zealand's biggest clients by using IAS Automated Tag with Google.

OMD Sees Campaign Results Skyrocket by Using IAS Automated Tag with Google

Known for driving efficiencies on behalf of clients, OMD proved its ability to meet quick turnaround times from initial briefs to go-live for two recent campaigns. To accelerate, automate, and streamline the traditionally time-consuming tag wrapping processes required to get campaigns live, OMD New Zealand partnered with IAS to activate its automated tag capability, which is the only automated verification in Google Campaign Manager. Through this partnership, OMD New Zealand achieved the following results for two of its largest customers during the busy retail period of Q4 2020:

Decreased tag wrapping time by 50%: OMD reduced the time required for tag wrapping from 5 minutes to 2.5 minutes for every piece of creativity. This saved the OMD operations team 32 working hours on these two campaigns in Q4.

Increased ROI and savings by 98 times by eliminating unsafe, invalid traffic (IVT) inventory: For every $1 spent on IAS Firewall, OMD NZ saved $98 that would otherwise have been wasted on unsafe, IVT inventory.

Successfully reinvested media savings: OMD New Zealand reinvested a significant budget by avoiding 1.3 million unsafe, IVT impressions.

John Buckley, Chief Digital Officer OMD New Zealand, said, "OMD prides itself on delivering the best-in-class digital solutions for our client base. As part of this, our highly qualified ad operations leads are constantly striving to find efficiencies that enhance our workflow. This partnership with IAS allowed us to reduce the 'people-hours' on an essential task through automation and invest those hours back into high-quality services that benefit OMD clients. We look forward to scaling this following our recent successful project."

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Jessica Miles, Country Manager ANZ at IAS, said, "We are focused on driving efficiencies for our customers by making verification and optimization products easy to manage and activate. Trafficking ads can be particularly time-consuming and subject to human error, so our automated tag capabilities have generated incredible efficiency for OMD NZ. With IAS's technology, our partners can reduce the time spent wrapping tags and focusing on connecting with their audiences to drive campaign performance."

Download the case study to learn more about how IAS's Automated Tag with Google helped OMD New Zealand achieve success for two of its largest customers.

For more information, visit integralads.com

Integral Ad Science Logo (PRNewsfoto/Integral Ad Science (IAS))

SOURCE Integral Ad Science (IAS)

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OMD Sees Campaign Results Skyrocket by Using IAS Automated Tag with Google - Yahoo Finance

WISeKey combats cybercrime with HIRO Cybersecurity Knowledge Automation, the first ever integrated cybersecurity automation solution which uses…

WISeKey combats cybercrime with HIRO Cybersecurity Knowledge Automation, the first ever integrated cybersecurity automation solution which uses Advance AI to mimic humans for learning and applying knowledge

For more information visit: https://www.youtube.com/watch?v=gh9tCUc81-g

Cybersecurity Knowledge Automation, developed by WISeKey arago and the core of the HIRO product, takes a unique approach to process automation by using AI to autonomously and independently determine how to complete and then automate end-to-end tasks based on real time contextual data. Fully auditable and only using steps defined and approved by the customer, Knowledge Automation delivers significantly higher automation rates at a much lower operational cost.

Geneva July 7, 2021 WISeKey International Holding Ltd (WISeKey), (SIX: WIHN, NASDAQ: WKEY) a cybersecurity AI and IoT platform company, today announced that its HIRO platform is now able to minimize risks of cyberattacks by adding AI capabilities that it is capable of not only understanding context on real life data, but also taking intelligent actions.

Analyzing and improving cybersecurity posture is not a human-scale problem anymore and requires the assistance of cybersecurity knowledge automation tools such as HIRO to complement the traditional security operation tasks that currently require human intervention. HIRO is designed to automate many of these tasks monitor intrusion detection systems to search for threats. Security attacks are increasingly more advanced each day, but with the help of HIROs cybersecurity Knowledge Automation, security teams can navigate through data alerts to find the many obscure threats they need to know about. Automating this process will add threat intelligence, reduce costs, improve efficiency and ultimately help save time and money.

Combining Cybersecurity with AI and machine learning have become critical technologies in information security, as they are able to quickly analyze millions of events and identify many different types of threats, from malware exploiting zero-day vulnerabilities to identifying risky behavior that might lead to a phishing attack or download of malicious code. Over time, these technologies learn by gathering data from the past and drawing behaviors to identify new types of possible attacks. Histories of behavior build profiles on users, assets, and networks, allowing AI to detect and respond to deviations from established norms.

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Cybersecurity Knowledge Automation, developed by WISeKey arago and the core of the HIRO product, takes a unique approach to process automation by using AI to autonomously and independently determine how to complete and then automate end-to-end tasks based on real time contextual data. Fully auditable and only using steps defined and approved by the customer, Cybersecurity Knowledge Automation delivers significantly higher automation rates at a much lower operational cost. Organizations today can automate lower level, repeatable workflows to improve security against hackers and also frees cyber security teams to focus on more productive problem-solving activities.

About ARAGO

ARAGO GmbH, a Germany-based technology company and part of WISeKey Group of companies, aims to provide the benefits of Artificial Intelligence to enterprise customers globally through Knowledge Automation. Founded in Frankfurt am Main 1995 the company uses modern technologies such as inference and machine learning in order to automatically operate any business process. It is our principal belief that the ultimate value of AI is to collaborate with people to automate the urgent but low value routine tasks and free up time to focus on more rewarding and challenging innovation work. Leading to a greater sense of worth for the individual and true value creation for employers. Benefits of AI are not obtained by replacing human workers but by increasing their potential, which is the essence of Knowledge Automation.

About WISeKey

WISeKey (NASDAQ: WKEY; SIX Swiss Exchange: WIHN) is a leading global cybersecurity company currently deploying large scale digital identity ecosystems for people and objects using Blockchain, AI and IoT respecting the Human as the Fulcrum of the Internet. WISeKey microprocessors secure the pervasive computing shaping todays Internet of Everything. WISeKey IoT has an install base of over 1.5 billion microchips in virtually all IoT sectors (connected cars, smart cities, drones, agricultural sensors, anti-counterfeiting, smart lighting, servers, computers, mobile phones, crypto tokens etc.). WISeKey is uniquely positioned to be at the edge of IoT as our semiconductors produce a huge amount of Big Data that, when analyzed with Artificial Intelligence (AI), can help industrial applications to predict the failure of their equipment before it happens.

Our technology is Trusted by the OISTE/WISeKeys Swiss based cryptographic Root of Trust (RoT) provides secure authentication and identification, in both physical and virtual environments, for the Internet of Things, Blockchain and Artificial Intelligence. The WISeKey RoT serves as a common trust anchor to ensure the integrity of online transactions among objects and between objects and people. For more information, visit http://www.wisekey.com.

Press and investor contacts:

WISeKey International Holding LtdCompany Contact: Carlos MoreiraChairman & CEOTel: +41 22 594 3000info@wisekey.com

WISeKey Investor Relations (US)Contact: Lena CatiThe Equity Group Inc.Tel: +1 212 836-9611lcati@equityny.com

Disclaimer:This communication expressly or implicitly contains certain forward-looking statements concerning WISeKey International Holding Ltd and its business. Such statements involve certain known and unknown risks, uncertainties and other factors, which could cause the actual results, financial condition, performance or achievements of WISeKey International Holding Ltd to be materially different from any future results, performance or achievements expressed or implied by such forward-looking statements. WISeKey International Holding Ltd is providing this communication as of this date and does not undertake to update any forward-looking statements contained herein as a result of new information, future events or otherwise.

This press release does not constitute an offer to sell, or a solicitation of an offer to buy, any securities, and it does not constitute an offering prospectus within the meaning of article 652a or article 1156 of the Swiss Code of Obligations or a listing prospectus within the meaning of the listing rules of the SIX Swiss Exchange. Investors must rely on their own evaluation of WISeKey and its securities, including the merits and risks involved. Nothing contained herein is, or shall be relied on as, a promise or representation as to the future performance of WISeKey.

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WISeKey combats cybercrime with HIRO Cybersecurity Knowledge Automation, the first ever integrated cybersecurity automation solution which uses...

Introducing FlexRule X, the Next Generation of End-to-End Decision Automation Platform: Ready for Early Access – PRNewswire

MELBOURNE, Australia, July 8, 2021 /PRNewswire/ --FlexRule, listed amongst the 10 Australian SaaS Companies to Watch in 2021presents FlexRule X, the next-gen end-to-end decision automation platform delivers the perfect combination of rule-based decisioning, human workflow, machine learning, and decision robotics for leaders to improve the quality and speed of their key business decisions.

FlexRule X is the most advanced and comprehensive end-to-end decision automation platform packed with powerful capabilities required for automating business decisions. FlexRule is giving early access to the platformfor you to explore all these features and more.

FlexRule X platform democratizes decision automation and enables leaders to use the right AI technology for the right problem, thus ensuring success, maximizing ROI of automation initiatives, and delivering real business values. It empowers business, operation, and technology leaders to improve the speed and quality of key business decisions that are influenced by infinite and frequent changes in regulated environments.

About FlexRule

FlexRule Advanced Decision Management Suitea powerful, low-code, unified platform, architected for the businesses to make optimized, customer-centric, and situation-aware decisionsenabling organizations to automate end-to-end operational decisions and tactical business decisions across business rules, processes, data, analytics, and robotics. With customers ranging from start-ups to large enterprises to government agencies, FlexRule has delivered game-changing business results across many industries such as Finance, Healthcare, Energy, insurance, banking, telecom, security & risk management, technology & consulting, and supply chain & logistics.

Website:www.flexrule.comLinkedIn:https://www.linkedin.com/company/flexrule

SOURCE FlexRule Pty Ltd

Advanced Decision Management Suite

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Introducing FlexRule X, the Next Generation of End-to-End Decision Automation Platform: Ready for Early Access - PRNewswire

Restaurant owner: Automated drive-thrus trump $15 wages for business – Business Insider

A fast-food franchisee says she's turning to automated drive-thrus to solve her labor shortage, rather than offering a $15 hourly wage to attract new staff.

Shana Gonzales, a Checkers franchisee who owns four restaurants in the Atlanta area, told The New York Times that she wanted to hire more workers, but that it wouldn't be profitable. She said raising wages to $14 or $15 would allow her to fully staff her restaurants but that she'd have to raise menu prices, which could deter customers.

Instead, she's turning to automated technology, such as voice-recognition drive-thrus, to keep business booming, she said.

The US is suffering from a severe shortage of workers, and restaurants have been especially hard hit. The US Chamber of Commerce has called the shortage a "national economic emergency" and warned it could hold back the recovery from the pandemic.

Read more:These 9 food tech startups are capitalizing on the labor crunch with tools that help franchisees hire or automate the restaurant workforce

Gonzales told The Times that she had raised wages to around $10 for entry-level workers, from around $9 pre-pandemic. But she found it difficult to find enough workers to meet soaring fast-food demand during the pandemic, she said, and had to work behind the cash register herself.

"We really felt like there has to be another solution," she said.

She turned to automation. In December, she started using technology from Valyant AI, a startup that makes voice-recognition systems for restaurants, to take orders at one of her drive-thru lanes. The technology takes orders, including noting modifications and suggesting add-ons, and feeds this directly to the kitchen and cashier.

Gonzales is planning to roll out Valyant's technology at her three other restaurants, she said.

"We'll look back and say why didn't we do this sooner," she told The Times.

Even before the pandemic, restaurants had been turning to digital ordering to keep staff costs down because of rising wages in the restaurant industry, Andrew Lapin, a lawyer specializing in retail at Robbins, Salomon, and Patt, told Insider.

Former McDonald's CEO Ed Rensihas said that the push for a $15 federal minimum wage could cause fast-food chains to raise prices or slash jobs by turning to automation instead.

"Technology is always cheaper than people," he toldFox Businessin June.

McDonald's is testing out voice-recognition software at some drive-thrus in Chicago, while other restaurants like Starbucks, Panera Bread, and Burger King are pushing customers to order using apps, QR codes, and digital kiosks, reducing the need for servers.

But Gonzales, the Checkers franchisee, told The Times that she doesn't view technology as a replacement for workers and instead sees it as a way to let staff focus on customers instead.

"Our approach is, this is an assistant for you," she said.

The tight labor market is causing some businesses tocut operating hours, slash production, and raise prices, while others have been offering higher wages,sign-on bonuses, and evenfree fitness machinesandiPhonesto attract new hires.

Got a story about how your business is overcoming the labor shortage? Email this reporter at gdean@insider.com.

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Restaurant owner: Automated drive-thrus trump $15 wages for business - Business Insider

Network Automation Market to Hit USD 22.58 Billion by 2027 Backed by Increasing Adoption of Connected Devices Worldwide, reports Fortune Business…

List of the Companies Profiled in the Global Network Automation Market: 6Connect, Inc. (California, United States), Anuta Networks International, LLC (Dublin, Ireland), AppViewX, Inc. (New York, United States), Apstra, Inc. (California, United States), Arista Networks, Inc. (California, United States), BlueCat Networks, Inc. (Toronto, Ontario), BMC Software, Inc. (Texas, United States), Cisco Systems, Inc. (California, United States), Cumulus Networks, Inc. (California, United States), Entuity, Inc. (London, United Kingdom), Fujitsu Ltd (Tokyo, Japan), HCL Technologies, Ltd (Noida, India), HelpSystems, LLC. (Minnesota, United States), IBM Corporation (New York, United States)

Pune, India, July 08, 2021 (GLOBE NEWSWIRE) -- The global network automation market size is expected to experience significant growth by reaching USD 22.58 billion by 2027 while exhibiting a stellar CAGR of 24.2% between 2020 and 2027. This growth is attributable to the surging investment in development and implementation of advanced technologies and the increasing adoption of connected devices that favor the adoption of innovative network automation solutions globally. Fortune Business Insights, in its latest report, titled, Network Automation Market Size, Share & COVID-19 Impact Analysis, By Component (Solution, Services), By Network Type (Physical, Virtual, Hybrid), By Deployment (On Premises, Cloud), By Organization Size (Large Enterprises, SMEs), By End User (IT and Telecom, BFSI, Manufacturing, Energy and Utilities, Healthcare, Education, Others), and Regional Forecast, 2020-2027., mentions that the market stood at USD 4.00 billion in 2019 and is projected to showcase an exponential growth in the forthcoming years.

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SEGMENTATION

Solution Segment to Hold Highest Market Share Backed by Surging Adoption of Automated Solutions

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The solutions segment, based on the component, is expected to experience considerable growth backed by the increasing adoption of these solutions by operation teams to deliver efficient business processes.

What does the Report Provide?

The Network Automation Market report includes an in-depth analysis of several factors such as the key drivers and restraints that will have an impact on the market. Furthermore, the report includes significant insights into the regional insights that include different regions, which are contributing to the market growth. It includes the competitive landscape involving the leading companies and the adoption of strategies by them to introduce new products, announce partnerships, collaborate, and acquire other companies that will contribute to the market growth during the forecast period. Moreover, the research analyst has adopted several research methodologies such as Porters five forces analysis to obtain information about the current trends and industry developments that will drive the market growth between 2020 and 2027.

Click here to get the short-term and long-term impact of COVID-19 on this Network Automation Market.

Please visit: https://www.fortunebusinessinsights.com/network-automation-market-104466

Reduced Investments in Development of New Automation Services amid COVID-19 to Hinder Growth

The economic loss suffered by the SMEs since the first quarter of 2020, has propelled them to cut down expenses on business operations. This has led to a temporary reduction in the investments on the development of new advanced network automation solutions by the companies that is leading to a restraint market growth globally. However, post-pandemic, the introduction of 5G technology, along with the increasing need for the adoption of digitalization in business processes is expected to favor the market growth in the near future.

Network automation is a process that involves automation of networks and their services that include operations, planning, deployment, and optimization, among others. Additionally, it adopts advanced software to provide security and efficient management to maximize network functionality for the business processes across the globe.

REGIONAL INSIGHTS

North America to Remain Dominant; Rising Investment in 5G Project to Promote Growth

Among all the regions, North America is expected to remain at the forefront and hold the highest position in the global network automation market during the forecast period. The region stood at USD 1.33 billion in 2019 and is expected to gain momentum owing to the rising investment in 5G projects in the region. Additionally, the growing focus on deploying advanced wireless network automation solutions by the major companies in the region will favor market growth.

Europe, on the other hand, is anticipated to showcase significant growth owing to the increasing need for network optimization and compliance management backed by the surging number of internet subscribers in the region between 2020 and 2027.

Get Your Customized Report: https://www.fortunebusinessinsights.com/enquiry/customization/network-automation-market-104466

COMPETITIVE LANDSCAPE

Key Players Focus on Business Transformation by Partnering Other Companies

The global network automation market comprises small, medium, and large companies striving to gain a major chunk and further maintain a stronghold. They are doing so by focusing on partnering with other companies to develop advanced solutions and boost their sales revenue. Furthermore, other key players are adopting strategies such as the introduction of new products, facility expansion, and merger and acquisition to maintain their presence in the fiercely competitive global marketplace.

Industry Development:

June 2020 Anuta Networks announced its partnership with Juniper Networks to integrate its advanced ATOM platform into Junipers existing network automation portfolio. The partnership is anticipated to cement their position in the market and further aid in catering to the increasing demand for innovative network automation services.

List of the Companies Profiled in the Global Network Automation Market:

6Connect, Inc. (California, United States)

Anuta Networks International, LLC (Dublin, Ireland)

AppViewX, Inc. (New York, United States)

Apstra, Inc. (California, United States)

Arista Networks, Inc. (California, United States)

BlueCat Networks, Inc. (Toronto, Ontario)

BMC Software, Inc. (Texas, United States)

Cisco Systems, Inc. (California, United States)

Cumulus Networks, Inc. (California, United States)

Entuity, Inc. (London, United Kingdom)

Fujitsu Ltd (Tokyo, Japan)

HCL Technologies, Ltd (Noida, India)

HelpSystems, LLC. (Minnesota, United States)

IBM Corporation (New York, United States)

Infoblox (California, United States)

Intraway Corporation (Argentina)

IPsoft, Inc. (New York, United States)

Juniper Networks, Inc. (California, United States)

NetBrain Technologies, Inc. (Massachusetts, United States)

Onapsis Inc. (Massachusetts, United States)

Red Hat, Inc. (North Carolina, United States)

Riverbed Technology, Inc. (California, United States)

Veriflow Systems, Inc. (United States)

VMware, Inc. (California, United States)

Quick Buy - Network Automation Market:https://www.fortunebusinessinsights.com/checkout-page/104466Table Of Content:

Introduction

Key Takeaways

Market Dynamics

Macro and Micro Economic Indicators

Drivers, Restraints, Opportunities and Trends

Impact of COVID-19

Short-term Impact

Long-term Impact

Competition Landscape

Business Strategies Adopted by Key Players

Consolidated SWOT Analysis of Key Players

PESTLE Analysis

Porters Five Force Analysis

Supply chain Analysis

Global Network Automation Key Players Market Share Insights and Analysis, 2019

Key Market Insights and Strategic Recommendations

Primary Interviewees Key Responses

Companies Profiled (Covered for key 10 players only)

Overview

Key Management

Headquarters etc

Offerings/Business Segments

Key Details (Key details are subjected to data availability in public domain and/or on paid databases)

Employee Size

Key Financials

Past and Current Revenue

Gross Margin

Geographical Share

Business Segment Share

TOC Continued!

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About Us:Fortune Business Insights delivers accurate data and innovative corporate analysis, helping organizations of all sizes make appropriate decisions. We tailor novel solutions for our clients, assisting them to address various challenges distinct to their businesses. Our aim is to empower them with holistic market intelligence, providing a granular overview of the market they are operating in.

Contact Us:Fortune Business Insights Pvt. Ltd.308, Supreme Headquarters,Survey No. 36, Baner,Pune-Bangalore Highway,Pune - 411045, Maharashtra, India.Phone:US :+1 424 253 0390UK : +44 2071 939123APAC : +91 744 740 1245Email: sales@fortunebusinessinsights.comLinkedIn: https://www.linkedin.com/company/fortune-business-insightsFacebook: https://www.facebook.com/FortuneBusinessInsightsPvtLtdTwitter: https://twitter.com/FBInsightPvtLtd

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Network Automation Market to Hit USD 22.58 Billion by 2027 Backed by Increasing Adoption of Connected Devices Worldwide, reports Fortune Business...

Building Competitive Advantage With Automation – Broadband Communities

ISPs can use autonomous technologies to help networks grow with companies as their business needs and markets change.

Since the introduction of the first public switched telephone network, networks have continually evolved. Through the various stages of development from fixed endpoints in the early days of the internet to todays broadband networks that connect mobile users to massive data centers and bandwidth behemoths such as Netflix, Amazon and Facebook networks have adjusted to accommodate new demands. The once-static infrastructure is undergoing a more profound transformation than ever before.

The latest incarnation is autonomous networks, a trend that has been building for some time. An autonomous network runs without much human intervention; it can configure, monitor and maintain itself independently. As business and residential subscribers networks become more complex than ever, internet service providers (ISPs) can harness this evolution of networking by committing to providing networks that can grow with companies as their business needs and markets change.

In addressing the needs of tomorrow, ISPs must understand that todays world is hyper-connected, reliant on complex infrastructures and multicloud environments, connected through a mesh of networks. But modern network demands create new challenges for ISPs. To advance, teams need to start moving away from manual efforts and start harnessing the power of artificial intelligence (AI) and machine learning (ML) to drive automation and self-healing networks.

To succeed with AI and ML, companies must have full network visibility. The networking community hungers for disruptive ideas to address the unsustainable economics of present-day networks. Today, operational complexity is increasing exponentially as traffic continues to explode and new devices proliferate. Meanwhile, rising operational costs and slower time to revenue squeeze margins for traditional service providers.

The answer to this problem is taking shape in the form of AI-driven networks, a new approach model that will eliminate operational complexity regardless of the type and volume of network traffic. ISPs must act quickly to incorporate disruptive technology that advances AI and ML concepts to transform static networks into dynamic, programmable environments that are predictive, proactive and automated.

The reality is that to be successful, companies cannot build a new future on old technologies. The days of closed, proprietary networks and vendor lock-in are over; the market demands new solutions that are open, intelligent, agile and secure. The investment companies make into any new technology also requires that they leverage their resources to quickly learn and understand the power of automating workflows. Fortunately, the ability for ISPs to automate and optimize operations on the fly and build sustainably within a standards-based approach is becoming the new norm, which is exactly what data-driven ISPs need today.

AI-driven networks will take the tedious job of data mining out of the equation, focusing on proactive problem resolutions. As ISPs get into more complex things in which people dont really understand all the correlations or how they correlate, AI can help draw the correlation in a fraction of the time it would take network operations teams. The future network will self-configure, monitor, manage, correct, defend and analyze with little human intervention, providing more time for service providers to innovate their businesses.

Traffic spikes on todays networks can cause goliath challenges in determining the problem, ranging from a new video game release to widespread streaming of national events to distributed denial of service (DDoS) attacks. Luckily, ML algorithms are becoming more intelligent, interpreting vast amounts of network traffic behavior data to predict performance issues before subscribers are affected. The reality of networking software today is that ISPs need tools that intelligently analyze and adapt, providing immediate security during DDoS attacks and increased bandwidth to support traffic surges.

AI-driven networks powered by ML algorithms will be the end state of a progressive journey beginning with data collection and visualization, leading to automated event correlation and programmability and allowing networks to run autonomously.

The ability for ISPs to leverage their software investments to automatically intervene and correct issues that they identify before they become noticeable to subscribers will be key to addressing the digital customer experience revolution.

Advancements in automation and AI technologies often invoke fears of job displacement. Conversely, the introduction of AI will free network staff from repetitive manual tasks, meaning customer support personnel will spend less time troubleshooting performance issues and running networks and more time working strategically and developing innovation that secures businesses and drives them forward.

As the internet of things (IoT) gathers steam, these emerging software tools will be in high demand to make sense of the deluge of incoming data. For ISPs and technology vendors, it will be imperative to implement ML algorithms that filter out the normal and allow service providers to focus on the anomalous, the unexpected and the dangerous.

Companies considering choosing a vendor with AI and ML claims to their technology should be sure to investigate the companys longevity in the market, along with its strategic software partners, to evaluate whether a long-term customer relationship offers an easy ability to scale over time. Those that make the early investment in AI capabilities need to understand that in the not-so-distant future, applications and hardware technology will become less artificial and more intelligent. When selecting a partner to define a future network, companies should consider three critical components:

Where ML shows its real value is in the ability to rely less on vast amounts of data and more on top-down reasoning that more closely mimics how humans approach problems and tasks. ML products will have more efficient reasoning, ready expertise and common sense.

As technology vendors continue to substantially invest in AI and ML development to set the foundation for autonomous networks, the feedback from early adopters will form the basis of AI-driven tools for the next five years. Transforming networks into dynamic, programmable environments that are predictive, proactive and automated will be key for service providers of the future.

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Building Competitive Advantage With Automation - Broadband Communities

What Do We Mean by Automation? – Forbes

BROOKLINE - DECEMBER 14: There are numerous self-checkout aisles available at the Brookline Stop and ... [+] Shop. (Photo by John Tlumacki/The Boston Globe via Getty Images)

I suspect Im not alone in having less-than-satisfactory experiences with self-checkout machines at grocery stores. Many of us have dealt with the frustration of the machine blaring at us to remove a mysterious item from the bagging area, only to then wait for a human employee to assist us anyway. Im not just put off by the technology as a customer but also as a professor who specializes in the field of automation, and for one particular reason: even though self-checkouts are labeled as automation, theyre actually not.

According to Merriam-Webster, automation is the automatically controlled operation of an apparatus, process, or system by mechanical or electronic devices that take the place of human labor. Increasingly, there is a tendency to label any new technology as such, especially if it appears to do the job of a human, but perceptions can be deceiving. In the case of self-checkout machines, a robot hasnt replaced the cashiers job of scanning or bagging groceries; a human is still performing those tasks but its now the customer rather than the cashier. In other words, nothing has actually been automated. Self-checkouts have not only lowered the customer experience, making it more inconvenient and less enjoyable, but also displaced jobs, many of which are incorrectly blamed on automation.

In order to improve public understanding, as well as guide how we utilize automated technologies moving forward, engineers and other stakeholders need to consider the following. First, we must find ways to better communicate what automated technologies are and what they arent and highlight how they improve peoples lives. Secondly, it is incumbent on us to determine why we are designing these technologies. Is the goal to improve quality of life and work? Or human productivity? Both, or neither? If automation is going to continue permeating society, its crucial that we, both those creating it and those affected by it, have a fuller, more thoughtful approach to how we think and talk about automation.

So-so automation

While our lives may seem more automated, which is cause for alarm for some, the reality is that weve been living with automation for decades without fully appreciating it. For instance, an appliance many people use daily provides an understated example: your oven. You set the temperature you want to cook at, and the oven maintains that temperature on its own. Its a simple directive, with the oven performing its functionality without user involvement.

But other forms of automation arent always as helpful or productive. A recent New York Times article about changes to corporate workplaces due to COVID-19 addressed so-so automation technology that is just barely good enough to replace human workers, but not good enough to create new jobs or make companies significantly more productive, according to the article. At best, its a neutral addition and at worst, a negative one; the output is the same, and little to nothing new comes out of it. The article cites self-checkouts as an example, but also notes white-collar jobs are increasingly at risk, and at a faster pace than ever before. If automation is simply displacing humans, rather than improving what they can do, its no surprise that it will be met with hesitation, if not opposition.

In other cases, true automation is deployed without full consideration of its impact on individual human populations. The New York Police Department recently began using a dog robot called Digidog during patrols. On one hand, Digidog can help police surveil dangerous situations and cover more ground. But Jay Stanley, a senior policy analyst with the American Civil Liberties Union, raised concerns to the Times about bias, surveillance and privacy over using a robot for this type of work. Technology like Digidog can have an adverse effect on the communities it is being used in, particularly if those communities are not educated about the technology, and its capabilities and limits. This can further alienate people from automation.

The case for automation

I conduct research and teach courses in the field of control systems which are at the heart of automated technologies, and was driven to this field because of the positive impact it has had, and can continue to have on society. Nonetheless, I acknowledge why automation is resisted by those who are most negatively affected by it, whether in the workplace or in their daily lives.

The solution is to move away from so-so automation and towards innovation that actually pushes the ball forward for people, workers, business, and society more holistically. There are already plenty of examples of automated technologies that we engage with regularly, such as autofill text on your mobile devices, robot vacuums, smart thermostats, adaptive cruise control in passenger vehicles, and plenty more on the way. We intrinsically understand how all of these types of automation make our lives easier, just as we fundamentally recognize when a technology is not.

If both users of automation and its creators have a clear-eyed view of what the technology is and how they can use it, we will be able to leverage it more effectively. This may require improving how we educate students, and the general public, about technology and its impact on humanity. Automation is sure to have a significant impact on our lives, so lets make sure its a positive one.

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What Do We Mean by Automation? - Forbes

NG automation to catapult productivity and profitability with edge computing – FutureIoT

You may associate automation more with Western country manufacturing but automation indeed has a significant history in Asia-Pacific also.

From the Japanese car factories of the 1980s to todays advanced manufacturing floors using imaging and AI for quality control, the region has seen some of the most impressive gains from leveraging technology.

The difference this time is that the automation that is transforming manufacturing will go hand in hand with more intelligence gained from data sensing and analytics.

A tire manufacturer, for example, may be able to detect mere millimetres of error in a product and have that data fed back into the system to make constant near-real-time adjustments.

Not only is this more cost-efficient in saving staff and materials costs, but the system also delivers a whole new level of quality control. Quality control used to be a checking process after the goods are manufactured. With this next-generation automation, quality control is built right into the process when the goods are being manufactured.

With constant refinement, the manufacturer may even be able to make new products that were not possible without this feedback loop continually driving improvement.

In 2021, we can expect this trend to grow steadily. With Industry 4.0 on the agenda, industry leaders across different verticals are fast-tracking their transformation efforts with foundational technologies.

Among those surveyed by McKinsey in 2020, 39% have implemented a nerve-centre, or control-tower, approach to increase end-to-end supply-chain transparency. Around a quarter are fast-tracking automation programs to stem worker shortages arising from Covid-19.

To get there, of course, you need to have the right tools. This is where edge computing will play an increasingly important part in the years ahead.

In the tire manufacturer example, what is needed is a fast analysis of the data that is constantly being produced by the sensors inside the tire making machine.

For this to be analysed on the spot, a round trip to the data centre at a centralised location may involve too much latency. Thats not to mention the quality of broadband connections that may vary greatly in different parts of a country.

The data eventually has to be stored in a data centre, but the important analysis that is carried out in the field has to be accurate and timely. For that, you need adequate computing power at the edge to digest the data and to make parameter changes in real-time for optimal production.

Indeed, there are many other ways in which the edge will make a difference. Besides running data analysis, it could be used to orchestrate and operate complex machines remotely, a scenario that the pandemic has forced on many manufacturers. The ability to operate remotely has tremendous value and companies are allocating more budget to make edge orchestration a corporate priority.

Edge computing resources could also help drive the adoption of AI on the manufacturing floor.

While a simple sensor or camera can give you the raw image data, what is needed is a compute unit right next to the sensor, or on the edge, to analyse that. It also has to complete this task quickly because there could be hundreds or thousands of devices to be checked in a short period of time.

Lets not forget automated guided vehicles (AGVs), either. While each of these smart vehicles can navigate its way around a warehouse with its own sensors and onboard processors, they still need to relay information, say, on stock levels to human operators.

You still need a capable compute unit located near to the action to make sense of the data from these AGVs and present a coherent picture of what is happening on the ground. Again, this is where the edge has an advantage relative to the cloud.

Not every edge computing platform will do, of course. What is needed is a setup that not only brings the compute performance but also the robustness to work in a tough environment.

Another quality to look out for in an edge computing device is the ease of maintenance. Are the units easy to upkeep, say, by operators who are not IT savvy?

After all, with factories often distributed across a country, it might take an IT team hours or even days to get to a site to fix a simple maintenance issue.

Security is of utmost importance as well. Any edge computing unit that is connected in the field has to have security baked in from the start, not added on as an afterthought. It is essential to have a host-based firewall that allows users to blacklist or whitelist specific IP addresses, domain names, protocols, or ports. In addition, all data should be sent through secure, encrypted channels.

Like many other technologies that came to the forefront during the pandemic, edge computing has seen an acceleration in terms of adoption.

This is the foundation that many businesses will build on as they boost their automation efforts in the years ahead. The good news for those that have invested early is that they will be more ready for the recovery, better prepared to scale up when demand returns and taking more market share from the competition.

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NG automation to catapult productivity and profitability with edge computing - FutureIoT

How automating and streamlining can provide a treasure trove of data – Smart Business Network

If your business is still doing financial reporting the traditional way manually entering data and reconciling reports each month youre likely missing out on a tremendous opportunity to use that data to move your company forward.

Traditional reporting is time-consuming, mistake-prone, produces numbers that can be difficult to understand and reports numbers after the fact, says Matt Long, Client Advisory Services principal at Rea & Associates. Automating and streamlining reporting provides real-time, actionable data that is easy to understand and can be customized depending on what is important to your business. Youre already collecting the data. So why not do it more effectively?

Smart Business spoke with Long about how automating your financial reporting can save time and money, and move you ahead of the competition.

How is the automation of financial reporting changing the pace of business?

In the past, businesses waited until the end of the month, made sure all activities had been posted, then spent several days reconciling. It was an exercise that reported what happened the previous month, with no end game in mind beyond having the data for an audit or tax purposes. There was no direction as to why you were doing it, what you were getting out of it or what you could take away from it. Now, there has been a monumental shift as companies realize they need live information, not static reports at months end.

How has automation moved data beyond the accounting department?

Traditionally, the accounting department manually input information, and no one else understood or cared about the numbers. Automation takes the data out of accounting and allows people in all departments to look beyond the traditional profit and loss statements to look at dashboards and graphs. And you dont need to be an accountant to interpret the data.

The data itself is not valuable, its how youre using it. Departments can access the numbers they need every day. Every industry has its own metrics to consider, whether its a manufacturer looking at how many hours a machine is running and what thats costing, a restaurant looking at food costs, or a dentist looking at the numbers at a procedural level.

This is the future, with more automation and fewer human hours going into compiling data. The days of having a full-time accounting department manually entering data are over. And the pandemic has accelerated that trend, forcing businesses to prioritize what is important, opening them up to new opportunities to evaluate what is being done and how its being done.

How can a business start the automation process?

Evaluate how you are currently doing things. An outside adviser can help you take a step back and get out of the weeds. What is happening day to day, and how does that flow into the transactional level, the accounting system?

Look at your processes and procedures, your systems, where you can find areas to improve and where there is better technology available. Talk through logistics and timing and how you can make an impactful change. And while some companies want to change very quickly, that can be a mistake. Be methodical and intentional. Do it the right way to get systems in place that will last and that you can build on as the business grows.

Its very important to spend the time up front and do it right, or youll constantly be chasing your tail and playing catch-up. Its not a one-time thing; you dont go through the transition to automation and then forget it. Theres room for improvement in any system, some of it incremental and some very impactful. The landscape is changing so quickly, almost daily, and you need to constantly re-evaluate.

And if youre not looking at how to do things more effectively, your competition is. You may have the edge now because of the quality of your products and services, but eventually someone who is more strategic is going to catch up and make decisions that are more impactful, passing you by.

INSIGHTS Accounting is brought to you by Rea & Associates.

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How automating and streamlining can provide a treasure trove of data - Smart Business Network

Addressing great need for automation of composites – Advanced Manufacturing

The aerospace industry is setting itself up for a massive conjunction of need for industrial capacity to produce parts in the near future. Pre-COVID, Boeing and Airbus estimated that 40,000 commercial aircraft will be required over the next 20 years (compared with about 25,000 in service today). The U.S. military is also researching concepts of swarms of unmanned aircraft with limited life and very low cost. Finally, the first air taxis are projected to be in service in 2023. All of these concepts will require significant use of composites to meet their range and speed requirements, which will stress todays industrial base.

Today, the composites industrial base is predicated on hand lay up or current automated layup machines that have only 20-50 percent machine utilization. It is also still more analog than digital. Companies are dabbling in digital to solve specific pain points, such as asset tracking, but few manufactures have a true enterprise-wide Industry 4.0 environment.

A state change must happen for the aerospace industry to achieve production rates for future aircraft. First, automation of composites must be a major component to enable the coming production wave. Done right, automation will alleviate the need for significant capital investment and lessen the number of new skilled workers for manufacturing aircraft. Second, the composites community needs to embrace Industry 4.0 concepts to get actionable insights from data generated during fabrication and assembly. Key themes for future research to make automation and Industry 4.0 available for aerospace composites production include:

Potential solutions: Integrate AI/machine learning, automation, data, analytics, manufacturing and products. Use an integrated, computer-based system comprised of simulation, 3D visualization, analytics and collaboration tools to develop a virtual representation of the entire manufacturing process.

Potential solution: Move from inspection to measurement. This requires manufacturing simulation and in process measurement, as well as in-service structural simulation and measurement, at a level good enough to satisfy regulatory requirements. Use of Industry 4.0 tools to provide an understanding of the state of the part or assembly, not just to track them.

SME has launched a Technical Community on Composites Automation to address these needs. I am part of the technical community, and I welcome input for the discussions we are beginning.

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Addressing great need for automation of composites - Advanced Manufacturing

NASAs small business picks take on automation in space – TechCrunch

NASAs SBIR program regularly doles out cash to promising small businesses and research programs, and the lists of awardees is always interesting to sift through. Here are a dozen companies and proposals from this batch that are especially compelling or suggest new directions for missions and industry in space.

Sadly these brief descriptions are often all that is available. These things are often so early stage that theres nothing to show but some equations and a drawing on the back of a napkin but NASA knows promising work when it sees it. (You can learn more about how to apply for SBIR grants here.)

Autonomous deorbiting system

Martian Sky Technologies wins the backronym award with Decluttering of Earth Orbit to Repurpose for Bespoke Innovative Technologies, or DEORBIT, an effort to create an autonomous clutter-removal system for low Earth orbit. It is intended to monitor a given volume and remove any intruding items, clearing the area for construction or occupation by another craft.

Image Credits: Getty Images

Ultrasonic additive manufacturing

There are lots of proposals for various forms of 3D printing, welding, and other things important to the emerging field of On-orbit servicing, assembly, and manufacturing or OSAM. One I found interesting uses ultrasonics, which is weird to me because clearly, in space, theres no atmosphere for ultrasonic to work in (Im going to guess they thought of that). But this kind of counterintuitive approach could lead to a truly new approach.

Robots watch each others backs

Doing OSAM work will likely involve coordinating multiple robotic platforms, something thats hard enough on Earth. TRAClabs is looking into a way to enhance perceptual feedback and decrease the cognitive load on operators by autonomously moving robots not in use to positions where they can provide useful viewpoints of the others. Its a simple idea and fits with the way humans tend to work if youre not the person doing the actual task, you automatically move out of the way and to a good position to see whats happening.

3D printed Hall effect thrusters

Hall effect thrusters are a highly efficient form of electric propulsion that could be very useful in certain types of in-space maneuvering. But theyre not particularly powerful, and it seems that to build larger ones existing manufacturing techniques will not suffice. Elementum 3D aims to accomplish it by developing a new additive manufacturing technique and cobalt-iron feedstock that should let them make these things as big as they want.

Venusian batteries

Venus is a fascinating place, but its surface is extremely hostile to machines the way theyre built here on Earth. Even hardened Mars rovers like Perseverance would succumb in minutes, seconds even in the 800F heat. And among the many ways they would fail is that the batteries they use would overheat and possibly explode. TalosTech and the University of Delaware are looking into an unusual type of battery that would operate at high temperatures by using atmospheric CO2 as a reactant.

Neuromorphic low-SWaP radio

When youre going to space, every gram and cubic centimeter counts, and once youre out there, every milliwatt does as well. Thats why theres always a push to switch legacy systems to low size, weight, and power (low-SWaP) alternatives. Intellisense is taking on part of the radio stack, using neuromorphic (i.e. brainlike but not in a sci-fi way) computing to simplify and shrink the part that sorts and directs incoming signals. Every gram saved is one more spacecraft designers can put to work elsewhere, and they may get some performance gains as well.

Making space safer with lidar

Astrobotic is becoming a common name to see in NASAs next few years of interplanetary missions, and its research division is looking at ways to make both spacecraft and surface vehicles like rovers smarter and safer using lidar. One proposal is a lidar system narrowly focused on imaging single small objects in a sparse scene (e.g. scanning one satellite from another against the vastness of space) for the purposes of assessment and repair. The second involves a deep learning technique applied to both lidar and traditional imagery to identify obstacles on a planets surface. The team for that one is currently also working on the VIPER water-hunting rover aiming for a 2023 lunar landing.

Monitoring space farms

Bloomfield does automated monitoring of agriculture, but growing plants in orbit or on the surface or Mars is a little different than here on Earth. But its hoping to expand to Controlled Environment Agriculture, which is to say the little experimental farms weve used to see how plants grow under weird conditions like microgravity. They plan to use multi-spectral imaging and deep learning analysis thereof to monitor the state of plants constantly so astronauts dont have to write leaf 25 got bigger every day in a notebook.

Regolith bricks

The Artemis program is all about going to the Moon to stay, but we havent quite figured out that last part. Researchers are looking into how to refuel and launch rockets from the lunar surface without bringing everything involved with them, and Exploration Architecture aims to take on a small piece of that, building a lunar launchpad literally brick by brick. It proposes an integrated system that takes lunar dust or regolith, melts it down, then bakes it into bricks to be placed wherever needed. Its either that or bring Earth bricks, and I can tell you thats not a good option.

Several other companies and research agencies proposed regolith-related construction and handling as well. It was one of a handful of themes, some of which are a little too in the weeds to go into.

Another theme was technologies for exploring ice worlds like Europa. Sort of like the opposite of Venus, an ice planet will be lethal to ordinary rovers in many ways and the conditions necessitate different approaches for power, sensing, and traversal.

NASA isnt immune to the new trend of swarms, be they satellite or aircraft. Managing these swarms takes a lot of doing, and if theyre to act as a single distributed machine (which is the general idea) they need a robust computing architecture behind them. Numerous companies are looking into ways to accomplish this.

You can see the rest of NASAs latest SBIR grants, and the technology transfer program selections too, at the dedicated site here. And if youre curious how to get some of that federal cash yourself, read on below.

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NASAs small business picks take on automation in space - TechCrunch

Cockpit automation leading to airline industry complacency – Airline Ratings

Cockpit automation is leading to airline industry complacency warns a new study from the Royal Aeronautical Society Flying Operations Group, which says many crashes would never have happened if pilots were just capable of basic piloting skills and standards were higher.

As the 12th anniversary of AF447 looms, the chorus of concern over the lack of progress on the degradation of flying standards has now been joined by the highly respected RAeS flying group, a body hardly noted for exaggeration, with a study that calls for skill-based training and an urgent raising of regulatory standards and oversight, and the application of uniform standards of compliance. They are not alone in this view.

In 2009, just before the loss of AF447, University of Southern California engineering professor and aviation safety expert Najmedin Meshkati suggested that the aviation industry and its regulators had become star-struck by technological solutions. He surmised that this was due to the fatality-free record at that time of aircraft such as the A330 and 777 in commercial service.

READ: Qatar Airways a standout for COVID-19 safety

We have become complacent by thinking that technology will solve all the problems, he said just four days before AF447 plunged into the mid-Atlantic.

Meshkati warned at the time that he believed that all the wizardry of modern technology was masking a deterioration and de-skilling in basic flying ability and that the lessons learned by generations of pilots may be lost to the new breed of pilots.

Fast forward 12 years to 2021 and Captains John Leahy, Robert Scott, and Alex Fisher, assisted by other experienced members of the RAeS Flight Operations Group are issuing a similar blunt warning in a new paper. They emphasize that now is the moment for decisive industry action, given the COVID pause a period of much-reduced aviation activity

Their study, Airline Pilot Training It is time to revisit the basics, warns that many recent airline accidents have shown clear evidence of a common cause, whether from fatal crashes or devastating hull losses without fatalities. That common cause is the inability of the pilots, in far too many cases, to cope with the situation they faced. Sometimes it was when the automatic systems failed, requiring them to fly manually. In others, they were trying to deal with what should have been a relatively benign situation and they simply did not cope.

It adds that pilot training is currently a combination of learning basic handling skills and the ability to manage complex automated systems but with an ever-increasing emphasis on the latter. So, although management of automation has improved, much less time is now spent on developing and maintaining the basic skills that are so necessary when automation fails or causes confusion.

The problem is not new

Tragically, the problem is not new and reflects the findings of a 1995 comprehensive NASA Research Centre study based on Royal Air Force Institute of Aviation Medicine data by Dr. Marianne Rudisill who surveyed more than 1,000 pilots from 20 airlines and aircraft manufacturers about pilots attitudes and experience with flight deck automation.

The strength of that study was that most respondents had flown aircraft from basic cockpit types like 727s through to Glass 2 types such as A320s and 747-400s. It found the general consensus was that safety is increased with automation, but automation may lend a false sense of security, particularly with inexperienced pilots.

Very concerning was that pilots reported that there was a higher sense of insecurity during an automation failure and a general temptation to ignore raw information and follow the green/magenta line. The most worrying aspect was that pilots said their colleagues were becoming complacent and relied too much on automation but that was often because airline SOPs mandated reliance on automation.

And that aspect has not changed since, according to a 2019 International Air Transport Association pilot survey, which found that only 36 per cent of respondents said that their airline policy supported manual flying without restrictions.

In the same survey 92 per cent of respondents said they believed that training should put more emphasis on the unexpected transition from automatic flight to manual flying and vice versa.

In its 2019 Aircraft Handling and Manual Flying Skills report, IATA said that continuous use of automation does not strengthen pilots knowledge and skills in manual flight operations and in fact could lead to degradation of the pilots ability to quickly recover the aircraft from an undesired state.

It added that poor manual techniques are flagged by a number of accident analyses that cite inappropriate or erroneous control inputs by the flight crew in response to abnormal events. Although the overall Loss of Control in Flight (LOC-I) accident rate has decreased, this accident category continues to outpace other factors as the leading cause of fatal accidents. A number of these accidents may have had a different outcome if the pilots had shown a higher level of monitoring and manual flying skills. Poor manual techniques may also lead to other events such as hard landings, unstable approaches, runway excursions, and others.

A tragic example is the loss of the Atlas Air Boeing 767-300 at Trinity Bay Texas in February 2019 where the NTSB found that the probable cause of this accident was the inappropriate response by the first officer as the pilot flying to inadvertent activation of the go-around mode, which led to his spatial disorientation and nose-down control inputs that placed the airplane in a steep descent from which the crew did not recover.

It added that contributing to the accident was the captains failure to adequately monitor the airplanes flight path and assume positive control of the airplane to effectively intervene. Also contributing were systemic deficiencies in the aviation industrys selection and performance measurement practices, which failed to address the first officers aptitude-related deficiencies and maladaptive stress response.

The RAeS paper expresses concerns that pilot training has changed greatly, particularly in the last two decades. They said in a recent interview with AirlineRatings.com pilots need to be trained to fly on instruments once again (IF Skills), in all conditions of weather, g forces and distracting illusionary factors, and have complete confidence in their ability to do this. That skill deficit is the one most in need of urgent reform.

The RAeS paper states that pilot training is now shorter in duration, with less flight time on real aircraft, less exposure to the resultant stress of actual flight and much of it, computer-based. Full Flight (Level 4) simulator time is reduced in many cases to the minimum required to satisfy regulatory requirements.

That concern is supported by the president and CEO of GHS Aviation Group, LLC, George Snyder, who is troubled by the dichotomy between OEMs suggested automation use and the need for operators to ensure that flight crews are equally proficient in both manual flying and use of automation.

Mr. Snyder, former chief pilot at US Air and responsible for turning Korean Airs flight standards around just over 20 years ago adds I am now seeing it show up in the General Aviation sector, most notably in flight schools. I brought out my E6B (circular computer) in front of some primary students recently and it was like they were looking at a fossil. I understand the need for enhanced use of automation and technology, but a balance remains a critical flight safety issue, Mr. Snyder said.

Of particular concern says the RAeS paper is the high percentage of the accidents that fall into the LOC-I category. Often this has nothing to do with extraordinary and demanding circumstances but instead the pilots failure to cope with the most fundamental activity, that of being capable of using the aircraft flight controls to manage the flight path of the aircraft when the automation fails them. Although the actual loss of control was sometimes triggered by external factors such as adverse weather, it was often compounded by human factors such as poor decision making, technology mode confusion, and inadequate communications between the pilots. In most cases, LOC-I resulted in a non-survivable accident.

The fact is LOC-I has been the number one cause of fatalities in aircraft accidents for many years, yet the training required to address this most fundamental pilot activity is obviously not being carried out to the extent that it should. A strong safety culture with an emphasis on pilot performance excellence must be supported at the highest level in any airline, whatever the perceived financial costs.

One reason says Captain Fisher of the RAeS group is maybe that accident reports rarely get to the fundamental problem of the pilots inability to fly on instruments. Instead, they ascribe the loss of control to sensory illusions and g forces. But overcoming such illusions is the number one task of any instrument-rated pilot; blaming LOC-I on sensory illusion is like blaming the crash on gravity.

The RAeS paper asks the question. How is the [safety] risk evaluated and thus the amount of training which is considered appropriate? It would appear that, in some airlines, senior management equates the industrys low accident rate to low risk and thus any training that extends beyond satisfying regulatory requirements and the recommendations of the airplane manufacturer is an unnecessary expense. This completely overlooks the fact that this decision may then restrict the knowledge and skills of the pilots concerned to a narrow range and make it extremely difficult for them to cope with unforeseen events.

And the ability to handle unforeseen events was front and center for the crew of Qantas flight QF32 led by Capt. Richard de Crespigny, which suffered a catastrophic failure of its number 2 engine shortly after take-off from Singapore in 2010.

The crew had to nurse their crippled A380 for two hours while dealing with multiple system failures and sometimes confusing information before landing back safely at Singapore.

The Australian Transport Safety Bureau which conducted the accident investigation noted that the well-trained crew had saved the A380.

Discussing that event and wider training issues with the author in a 2011 interview, Captain Dave Evans, who was checking another check captain on that flight noted that some young prospective pilots lacked basic skills because they learned to fly using Flight Simulator and had not used rudder pedals and thus their flying skills once they got into the real world were degraded.

Flight Simulator with a single screen also narrowed their perspectives and they lacked peripheral skills, Capt. Evans noted.

Those disturbing observations resonated with Captain Robert Sumwalt III, former Chairman, Human Factors and Training Group Air Line Pilots Association International, and now Chairman of the NTSB who co-authored a 2002 paper Enhancing Flight-crew Monitoring Skills Can Increase Flight Safety which found that effective crew monitoring and cross-checking can literally be the last line of defense.

At the time Sumwalt cited NTSBs examination of 37 accidents which found that 84 per cent involved inadequate crew monitoring or challenging of the fellow cockpit crew.

The NTSB has found that lack of monitoring of instruments is still a major factor in accidents, Sumwalt said.

An example of this was the loss of Pakistan International Airlines A320 at Karachi in May 2020 and 97 souls where the preliminary report found multiple failures by the crew.

A Wide Disparity in Standards

Another area of concern in the RAeS paper is that on the one hand, many airlines, for example, Qantas, Cathay Pacific Airways and British Airways (as just three examples) have an excellent safety record acquired over many decades while on the other, far too many do not.

It is the view of the group that this is not just a matter of luck. It is abundantly clear from our many years of working in the industry that some airlines set a high standard that far exceeds the minimum required by the regulations. This may include such measures as only recruiting superior candidates from the best training colleges, and training them to the highest standards, not only at the entry stage but on an ongoing basis during their time with the airline.

That claim is backed up by a former Airbus check and training captain who told Airlineratings.com that top-line airlines such as Cathay Pacific and Singapore Airlines would often double the required training hours for their pilots, whereas other airlines, would not even pay for basic Airbus training because it was too expensive.

The situation is complicated says the RAeS paper by the fact that there are different training methods in use globally and there isnt universal agreement on which ones are better than the others. In some cases, culture influences the decisions on which ones to use, and in others, the decision can be financial or even based on the recommendations of regulators or OEMs. A wide variety of modern advanced training tools and techniques (such as AQP, CBTA, MPL and EBT) are popular in the industry but have gained different traction in different operating environments.

The authors of the RAeS paper are concerned about the wide disparity in safety standards of airlines, and of their pilots, together with a similar disparity in regulators and regulatory oversight. Alignment of training methodology on a global scale would lead to better exchanges of ideas and understanding of each others operational challenges and an overall increase in operating standards.

It warns that as the accident rate is relatively low compared to the past it could be assumed that all is well in the industry. However, it is not the number of accidents that is the concern, it is the cause and the severity of them. The lack of essential skills and handling ability that have led to many recent accidents is evidence of a low proficiency of some of the pilots currently flying public transport aircraft.

A major factor is poor training. Many pilots are rushed through inadequate ab initio training courses with the emphasis on getting them through quickly and as inexpensively as possible. Thus, they are poorly prepared for the challenges of converting on to larger, more complex aircraft in an airline setting, carried out in accordance with a significantly reduced training model.

This environment does not encourage the development and maintenance of the skills and knowledge that are essential to safely and competently operating todays complex aircraft, something that is borne out by the accident reports.

This issue is highlighted in IATAs 2020 safety report with Captain Rubn Morales, Chair, of IATA Accident Classification Technical Group warning that when we look at the contributing factors present in 2020 accidents, manual handling is at top of the contributing factors associated with flight crew errors. Other areas of concern are deficient safety management systems, regulatory oversight, and selection systems, all of them latent conditions present in the system before the accident happened. These latent conditions have been present consistently year after year, highlighting the need for improvement in these areas.

The IATA safety report also states that for effective Safety Leadership in aviation, airline executives should set a leadership mindset that enables safety-focused behaviors to embed a positive organizational safety culture. Applied globally, this should be supported by clearly defined safety accountabilities to enable an effective safety culture to exist within each, and every, aviation service provider around the world.

The role of the regulators is coming under much greater scrutiny with the global compliance of the ICAO country audits ranging from only 56.32 per cent for Aircraft Investigation to 81.23 per cent for Airworthiness with an overall average just 69.8 per cent. The eight audit areas are Legislation, Organization, Licensing, Operations, Airworthiness, Accident Investigation Air Navigation Services, and Aerodromes.

A disturbing 23 countries were below average for all eight audit criteria, while a further 22 only achieved one or two above-average passes.

These poor results are played out and underscored the RAeS papers concerns in the IATA 2020 safety report which found that Regulatory Oversight was a major latent factor in aircraft accidents at 45 per cent contribution just behind Safety Management at 47 per cent.

With Flight Crew errors for 2020, manual handling/flight controls topped with a 39 per cent contribution with SOP Adherence/ SOP Cross Verification at 29 per cent.

Disturbingly the five years figures are much the same.

Far worse, however, is the role these latent issues played in Fatal Accidents over the last five years with Safety Management at 71 per cent and Regulatory Oversight at 65 per cent.

Again, Flight Crew errors and SOP Adherence / SOP Cross Verification and Manual Handling / Flight Controls were top contributors in Fatal Accidents in the past five years at 56 per cent and 50 per cent.

These regulatory issues also play out in the EU and FAA banned lists, with 98 airlines from 24 countries banned from European skies and all airlines from 24 countries banned from the USA under the FAAs International Aviation Safety Assessment program.

Faustian bargain

Prof. Meshkati considers the aviation industrys exuberant blind embracement of more automation is promoted for the sake of more efficiency and cost-saving, without considering its serious unwanted consequences and contingencies for what if it fails and what to do next, as a rendition of Faustian bargain.

He has an additional and equally serious concern that when an utterly unexpected, unfamiliar, non-routine event occurs, which was unforeseen by the automation system designers, then the flight crew, having exhausted all options by trying all emergency operating procedures, has to resort to problem-solving (instead of simple decision-making) and improvisation.

In this phase, in order to save the day, the crew has to have a shared mental model of the situation, be equipped with a good technical knowledge of interacting subsystems and their safety margins, and finally has to be able to operate at the knowledge-based level, according to the late Professor Jens Rasmussens taxonomy of levels of cognitive controls.

Prof. Meshkati cites the 2009 emergency water landing and safe evacuation of US Airways Flight 1549, as a great example of a successful improvisation in the face of no more emergency operating procedures. This shows particularly in the non-verbal communication between Captain Sullenberger and First Officer Jeff Skiles, who although they did not have time to exchange words, they knew that they were on the same page through observation and hearing. At the NTSB hearings, Captain Sullenberger mentioned the critical role of a dedicated, well-experienced, highly trained crew that can overcome substantial odds, working together as a team, Prof. Meshkati said.

Resilience

In his article Resilience Recovering pilots lost flying skills about the industry in general, Capt. de Crespigny said that many pilots have lost confidence in flying manually because automation has taken much of their hand flying skills away.

Capt. de Crespigny says that pilots of older aircraft such as the 707 and 747 had excellent flying skills. They usually flew their approaches and landings without using autopilots and auto thrust because these systems were often too inaccurate or unreliable. These pilots built a mental body model that included their aircraft they wore and manipulated their aircraft like it was a fitted glove, Capt. de Crespigny said.

He warns that modern cockpit designs insidiously induce pilots to focus on just the green and magenta targets (airspeed, attitude, altitude, and track) at the expense of awareness of the underlying raw data.

He stresses that it takes more effort to operate modern jet aircraft than the older jets. Capt. de Crespigny asserts that the benefits of automation come at the expense of learning these complex mechatronic systems. Pilots must have a deep understanding of the core systems on their aircraft. Because when these automated systems fail, and they will fail, the pilot must be able to land the aircraft with the remaining systems.

Pilots of todays computerized aircraft must understand complicated software logic rules and procedures. If you dont it could be a disaster. You never want to fly an aircraft that takes control away from you. So, you must know when to trust automation and to respect its limitations, when to be skeptical and when to reject it and take manual control.

Paradigm Shift

Captain Robert Scott of theRAeS Flight Operations Group sums up the situation like this:

Over the last two decades, we have seen what can only be described as a Dumbing Down of the Airline Pilot. The intellectual and physical skills once required of the pilot have largely been replaced by an emphasis on soft skills and automation management. The pilot who once cynically challenged sources of information now readily accept information from a variety of sources, many computer-generated, without question. We know from bitter experience that when this information is flawed it is often not recognized as being useless to safe flight path management.

It seems hardly surprising, therefore, that many pilots lack the technical knowledge of their forbears and may thus feel they are on the periphery of the operation, rather than in charge of it. Regrettably, events often indicate that improvements to human skills have not matched improvements in technology, and until they do, the human operator will continue to make mistakes due to a misunderstanding of the technology, or, more commonly, complacency due to over-reliance on the automated systems.

An editorial comment in a major aviation publication laid the blame on regulators for the current problems. However, this is an inaccurate and unfair comment. Many CEOs, Directors of Operations, and Flying Training Managers have been seduced by the idea that modern aircraft are so reliable that traditional skills and knowledge can be reduced to the absolute minimum and replaced by mere management of the automatic systems. Consequently, pilots often receive the minimum amount of training, which is borne out by some recent accidents. Regrettably, while the names and reputations of the pilots involved in some aircraft accidents will always be associated with incompetence, the people who bear much of the responsibility for their lack of skills, the CEOs, Directors of Operations and Flying Training Managers will enjoy comfortable anonymity. The RAeS paper states that the days are now over where the senior management team can avoid scrutiny.

Is there a solution?

The authors of the RAeS paper believe there is, and moreover, now there is a once-off opportunity to do it. Capt. Leahy says This unique period of relative inactivity provides what is probably the last chance to make a major correction in the trajectory of this juggernaut of an industry; the objective must be to get pilots back to a level of skill that permits them to understand and oversee the automatics, yet still be able to take over when they fail. This chance should not be wasted.

So now that we know the problem, is there a realistic solution?

The RAeS authors say the list is long, but they suggest six immediate actions;

If those six were to be addressed, it would make a massive difference to the quality of future generations of flight crew say the RAeS authors.

The last words go to Capt. de Crespigny in his book QF32 when he warns; There is one potential problem with automation: that it will be accompanied by complacency and ignorance.

Excerpt from:

Cockpit automation leading to airline industry complacency - Airline Ratings

HAL in Permian Automation Breakthrough and More – Rigzone News

Here are some of Rigzone's top upstream stories during the last week, just in case you missed them

Halliburton Claims Permian Automation Breakthrough

Halliburton revealed that it has given a major operator real-time automated control of fracture placement while pumping on a multi-well pad in the Permian Basin. The name of the operator was not revealed, however.

Read full article here

Biden Plan Gives Oil Sector Surprise Boost

Bloomberg noted that U.S. President Joe Biden plans to set off one more oil-sector boom beforeshadows descendon fossil fuels.

Read full article here

Report Predicts Oilfield Job Losses to Robots

Rystad Energy revealed that at least two out of every ten oil workers globally in drilling, operational support, and maintenance could be replaced by automation over the next decade.

Read full article here

Aker Solutions Wins Large ConocoPhillips Deal

Aker Solutions announced that it has won a large contract from ConocoPhillips to provide a subsea production system for the Eldfisk North development offshore Norway. The company defines a large contract as being worth between $139.4 million (NOK 1.2 billion) and $232.4 million (NOK 2 billion).

Read full article here

OPEC+ Poised to Provide Dose of Bullish Medicine

In a statement sent to Rigzone on Wednesday, Rystad Energy oil markets analyst Louise Dickson noted that the expectation was that the OPEC+ group would not increase oil output from May onwards. The group did, however, agree to raise oil production gradually from May to July.

Read full article here

DUC Backlog is Rapidly Shrinking

Bloomberg noted that a backlog of pre-drilled shale wells is rapidly shrinking as oil prices rise, signaling that producers are ready to put drilling crews back to work. Drilled uncompleted wells are expected to fall to less than 5,000 by the final three months of 2021, Bloomberg highlighted.

Read full article here

To contact the author, emailandreas.exarheas@rigzone.com

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HAL in Permian Automation Breakthrough and More - Rigzone News

Worldwide Robotic Process Automation Industry (2021 to 2026) – Featuring Automation Anywhere, NICE and Blue Prism Among Others -…

The "Robotic Process Automation Market - Forecasts from 2021 to 2026" report has been added to ResearchAndMarkets.com's offering.

The robotic process automation market was evaluated at US$2.039 billion for the year 2020 and is projected to witness a CAGR of 31.5% over the forecast period.

Robotic Process Automation refers to the process of automating the tedious and repetitive tasks in an organization through the use of robots. According to UiPath, a global software company that develops platform for Robotic Process Automation, RPA can be defined as "A technology that allows anyone today to configure computer software, or a 'robot' to emulate and integrate the actions of a human interacting within digital systems to execute a business process." The adoption of emerging technologies like RPA to automate the mundane, rule based repetitive tasks has resulted in accelerated work, reduced human error, and increased output. Combining RPA with advanced cognitive technologies like artificial intelligence (AI), machine learning (ML) and natural language processing (NLP) etc. will allow organisations to automate even those tasks which generally require human decision making capabilities

By using RPA, organisations can reduce their staffing costs as well as human errors by limiting the number of people working on these mundane repetitive tasks. It also increases job satisfaction of employees as they can now focus on tasks and processes which generate value for the organisation and actually make use of their intelligence and capabilities. Processes like web scraping, opening emails and attachments, making calculations, logging into applications among others can be automated with RPA. Given the advantages, some key tips should be kept in mind to derive maximum benefits from the implementation of RPA such as setting and managing goals that the organisation aims to achieve through RPA, putting RPA into the whole development lifecycle of the organisation and considering its impact on the business of the organisation among others.

Story continues

Although RPA has promising benefits across industries, it has its pitfalls too. With the automation of repetitive tasks, a huge chunk of the population might get redundant leading to widespread unemployment. Moreover, the economic outcomes of RPA implementations are far from assured as installation costs of large number of bots may not be as economically viable as it might have expected to be.

Companies Mentioned

Market Dynamics

Growth Factors

Restraints

Impact of COVID-19

The coronavirus pandemic has had a positive impact on the global robotic process automation market. Due to COVID-19 pandemic, the global robotic process automation market has witnessed a sudden rise in 2020 as the pandemic is being a game-changer for the robotic process automation solution providers as industries, especially manufacturing, accelerating the use of bots for repetitive tasks. Also because of the economic downturn caused by the pandemic, more and more businesses got encouraged to adopt automation systems. Also due to the dispersed workforce and ever growing consumer engagement, businesses need systems which can automatically carry these necessary but repetitive tasks.

Key Topics Covered:

1. Introduction

2. Research Methodology

3. Executive Summary

3.1. Research Highlights

4. Market Dynamics

4.1. Market Drivers

4.2. Market Restraints

4.3. Porters Five Forces Analysis

4.4. Industry Value Chain Analysis

5. Global Robotic Process Automation Market Analysis, By Type

5.1. Introduction

5.2. Software

5.3. Service

6. Global Robotic Process Automation Market Analysis, By Enterprise Size

6.1. Introduction

6.2. Large enterprises

6.3. Small and Medium Enterprises (SMEs).

7. Global Robotic Process Automation Market Analysis, By Application

7.1. Introduction

7.2. BFSI

7.3. Pharma & Healthcare

7.4. Retail & Consumer Goods

7.5. Information Technology (IT) & Telecom

7.6. Communication and Media & Education

7.7. Manufacturing

7.8. Logistics, and Energy & Utilities

7.9. Others

8. Global Robotic Process Automation Market Analysis, By Deployment

8.1. Introduction

8.2. Cloud

8.3. On - Premise

9. Global Robotic Process Automation Market Analysis, by Geography

9.1. Introduction

9.2. North America

9.3. South America

9.4. Europe

9.5. The Middle East and Africa

9.6. Asia Pacific

10. Competitive Environment and Analysis

10.1. Major Players and Strategy Analysis

10.2. Emerging Players and Market Lucrativeness

10.3. Mergers, Acquisitions, Agreements, and Collaborations

10.4. Vendor Competitiveness Matrix

11. Company Profiles

11.1. UiPath

11.2. Automation Anywhere Inc.

11.3. NICE

11.4. Blue Prism

11.5. Pegasystems

11.6. KOFAX INC.

11.7. NTT Advanced Technology Corporation

11.8. EdgeVerve Systems Limited

11.9. FPT Software

11.10. OnviSource, Inc.

For more information about this report visit https://www.researchandmarkets.com/r/9pd6v6

View source version on businesswire.com: https://www.businesswire.com/news/home/20210401005529/en/

Contacts

ResearchAndMarkets.comLaura Wood, Senior Press Managerpress@researchandmarkets.com For E.S.T Office Hours Call 1-917-300-0470For U.S./CAN Toll Free Call 1-800-526-8630For GMT Office Hours Call +353-1-416-8900

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Worldwide Robotic Process Automation Industry (2021 to 2026) - Featuring Automation Anywhere, NICE and Blue Prism Among Others -...

Deloitte and UiPath Team on Intelligent Automation Solutions Built for the Oracle ERP Platform – PRNewswire

NEW YORK, April 1, 2021 /PRNewswire/ -- Deloitte today announced it is teaming with UiPath to develop intelligent automation solutions around the Oracle Cloud ERP platform to power digital transformation for the next generation workforce. The new solutions, built by Deloitte and certified by UiPath, will enhance enterprise modernization efforts by optimizing processes around Oracle Cloud ERP to increase organizational efficiency, accuracy, productivity and standardization.

"We believe the ERP transformation journey and the exploration of intelligent automation solutions should be complementary of one another, not siloed," said Anthony Abbattista, principal, UiPath Alliance leader, Deloitte Consulting LLP. "With the development of these new solutions, we can bring these two critical pieces of modernization together as a core strategy to drive value for our clients that use Oracle and UiPath."

According to a recent IDG study, enterprise organizations indicated improving scalability/agility, freeing up IT staff and lowering operating costs were their top-three goals for ERP modernization. Deloitte's intelligent automation solutions for Oracle Cloud ERP environments address those challenges by utilizing a persona-based approach to automate and augment repetitive human actions, saving time and cost for both functional and IT organizations.

"Leading organizations are not simply looking to migrate to a cloud platform they are looking to deliver new and compelling levels of performance across the enterprise," said John Steele, principal and U.S. Oracle offering leader, Deloitte Consulting LLP. "These intelligent automation solutions orchestrate the transformation journey, helping organizations achieve their digital ambitions. Empowering teams to capture value, visualize industry leading processes, and activate the journey through the integrated project delivery platform and collection of project assets with digital solutions and enablers powered by UiPath."

The new solutions from Deloitte and UiPath for Oracle Cloud ERP applications focus on automating deployment and maintenance of Oracle cloud applications, as well as automating the delivery of business processes built on the Oracle Cloud ERP platform and digital workforce components built on UiPath. These solutions help clients with a range of implementation-related activities on their Oracle transformation journeys, including data integration and loading, database migrations, comprehensive testing activities, post-load data validations and other "lift and shift" activities. The Business Process Automation solutions focus on augmenting the human workforce in the delivery of ongoing manual business processes, enabling humans and machines to work together to optimize outcomes around a range of functional areas, including finance and supply chain. The solutions are powered by UiPath's state-of-the-art intelligent automation platform that manages the execution of attended and unattended automations across a broad application and system landscape.

"The deep domain knowledge and extensive capabilities of Deloitte's Oracle practice is a perfect match to enable customers to potentially realize value from the accelerators, activity packs and integrations we have built," said Dhruv Asher, senior vice president, Technology Alliances, UiPath. "Deloitte and UiPath collaborated on ensuring that the quality bar and security and governance standard of what customers expect from a UiPath certified solution was met. We look forward to customers deploying these solutions in their automation journey to help them scale faster."

Each solution developed by Deloitte receives a UiPath certification validating that they follow UiPath best practices and governance. Together, these new solutions can enhance and power an organization's ERP Cloud modernization and transformation efforts while redefining how humans and machines can work together to create smarter, stronger and greater overall value.

Visit Deloitte.com for more information on Deloitte's UiPath alliance.

About Deloitte Deloitte provides industry-leading audit, consulting, tax and advisory services to many of the world's most admired brands, including nearly 90% of the Fortune 500 and more than 7,000 private companies.Our people come togetherfor the greater good and work across the industry sectors that drive and shape today's marketplace delivering measurable and lasting results that help reinforce public trust in our capital markets, inspire clients to see challenges as opportunities to transform and thrive, and help lead the way toward a stronger economy and a healthier society. Deloitte is proud to be part of the largest global professional services network serving our clients in the markets that are most important to them.Building on more than 175 years of service, our network of member firms spans more than 150 countries and territories. Learn how Deloitte's more than 330,000 people worldwide connect for impact at http://www.deloitte.com.

Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee ("DTTL"), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as "Deloitte Global") does not provide services to clients. In the United States, Deloitte refers to one or more of the US member firms of DTTL, their related entities that operate using the "Deloitte" name in the United States and their respective affiliates. Certain services may not be available to attest clients under the rules and regulations of public accounting. Please see http://www.deloitte.com/aboutto learn more about our global network of member firms.

SOURCE Deloitte Consulting LLP

http://www.deloitte.com

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Deloitte and UiPath Team on Intelligent Automation Solutions Built for the Oracle ERP Platform - PRNewswire

Test automation tools: 8 trends and techniques to watch – TechBeacon

To realize the benefits of test automation,organizations have to take full advantage of smartertools, according to theThe World Quality Report 20202021.

Smart tools are those thatinclude more features based onartificial intelligence (AI)and machine learning (ML). These, along witha proliferation of JavaScript-based testing tools, more API testing, andmore emphasis on skills, are the trends to watch this year, experts say.

Here's what your organization needs to know about the state of test automation tools.

One of last year's predictionsthat'shappening now is the increased use of AIand MLin testing tools to make test automation easier, said Diego Lo Giudice, vice president and principal analyst at Forrester Research.

"The trend that everybody was expecting was that developers would take over testing. But developers don't really like testing. We can give them some testing to do, but the rest of the testing is done by other personas, such as the business testing persona."Diego Lo Giudice

However, while expectations of the benefits that AI and ML in testingcan bring to quality assurance remain high, and adoption is on the increase, there are few signs of significant general progress, as the World Quality Report noted:

"Partly, this is because relevant skill sets still aren't in place; and partly, the arrival of the COVID-19 pandemic has disrupted schedules, budgets, and plans.Nonetheless, enthusiasm hasn't diminished [and] organizations are putting AI high among their selection criteria for new QA solutions and tools."

The reason: Smart technologies will increase cost-efficiency, reduce the need for manual testing, shorten time to market, and help create and sustain continuous quality improvements, the report found.

Otherbenefits of AI-basedtest automationincludereducing test creation time, boosting test coverage, increasing resiliency of testing assets, and cutting down on test maintenance efforts, said Nick Mears, product marketing manager for functional testing at Micro Focus.

Additionally, new ML techniques are being applied to determine the scope of optimal automation tests; the goal is"to reduce the exponential growth in test scripts," according to the report.

Another new automation technique is the use of AI-based, self-healing scripts to automatically modify scripts during runtime, in case of object and page element changes, the report noted.

Although more tools are sporting AI capabilities, adoption has been limited to this point, said Malcolm Isaacs, a testing evangelist at Micro Focus. But that's about to change.

"We're at the point where I think we're going to take off. The tool set that we've had up until now has enabled a certain amount of AI-based automation. [But now] is kind of the inflection point where we can take it to the mainstreamit's now production-ready."Malcolm Isaacs

One of the most prominent trends in 2021 will be the increaseof JavaScript-based testing tools, such as Jest, Cypress, Puppeteer, and Playwright, said Nikolay Advolodkin, CEO and senior test automation engineer at Ultimate QA.

This is happeningbecause a lot of front-end web development is done with JavaScript. And when writing code in JavaScript, it is just mucheasier to alsotest that code in JavaScript, according to Advolodkin.

"All of this tooling that easily integrates with your software development practices just makes a very low barrier of entry, whether for developers or even testing individuals, who just enter and start testing the code."Nikolay Advolodkin

Another factor is the tight integration between application code and testing code, he said."You can do things like writing unit tests or component tests in JavaScript,Advolodkin said. "But then whenever you find testing gaps that you can't fulfill with either one of those strategies, you can start using stuff like system tests with Cypress, for example, which is just another extra tool inside of your JavaScript repository."

The use of Cypress, an end-to-end testing tool for browser-based apps,is growing in popularity because JavaScript has gained users, Advolodkin said.Another plus is Cypress' feature set. Among other features, the tooloffers browser automation,application programming interface (API) automation, and component testing for React web applications, he said.

"So it covers multiple layers of testing applications, as opposed to many other tools that kind of just focus on a single aspect."Nikolay Advolodkin

Tools like Selenium and Puppeteer areonly for browser-based front-end automation, so if you want to start doing API testing or component testing, now you have to pick up all their tools."Cypress has all of that," he said.

Since the majority of information sharing that occurs within Internet of Things (IoT) devices is via APIs, it's critical to test the APIs of IoT-enabled devices to ensure they're secure, saidAdvolodkin.

"As more of the world brings us devices onlineand we have smart thermostats, we have Alexa, we have smart light bulbs, TVs, and all of thatit becomes increasingly more important to test those things. And the way that we test them is using APInot browser-based tools, but API testing. So I think that's going to be huge."Nikolay Advolodkin

The QA community appears willing to consider using natural-language processing (NLP)-based automation tools. These provide benefits includingscriptless automation, model-based testing, the use of plain English statements to generate scripts, and a shallower learning curvethat allowsdifferent project stakeholders to contribute to automation efforts, as the The World Quality Report noted:

"Options such as self-healing capabilities are going to increase gradually, but there is no doubt that these are the future of automation. While the promises are big, we understand these automation tools aren't yet sufficiently mature."

Forrester'sLo Giudice said everybody talks about self-healing, but the reality is that it's not there yet.

"It's improving. There are some tools that do it better than others, but it's at a superficial level. It's nothing huge yet."Diego Lo Giudice

Although there are plenty of tools on the market, the trend is going to be less on tools and more on people just skilling themselves up because they want to be marketable, said Michael Fritzius, president of Arch DevOps.

"You're going to see more manual testers that want to get into automation. You're going to see more automation engineers that want to get into the architecture of automated testing solutions."Michael Fritzius

Rather than being the people developing the actual tests, they'll be overseeing and guiding teams about how to do it properly. "So they're going to try to do what they can to make it on their own," Fritzius said. "It's skilling yourself up to write software, mainly."

Adoption of commercial tools won't pick up until next year at the earliest, as a result of the investment involved, saidFritzius."It takes a lot of time and money."

Tools, on average, run at least$250,000. And then youhave to learn it and change the processes to integrate the tool into their system, he noted.

It's going takea while for companies to be willing to really risk that much moneyto improve theirprocesses,"knowing that it might take a while for us to see a result on that."

There will continue to be fragmentation in the test automation landscape throughout 2021 and likely into 2022, said Paul Grizzaffi, principal automation architect at Magenic.

Although there are different technologies,frameworks and stacks coming out, they are generallyattached to one browser or API.

"They need to be glued together by users. Or you have to go and get an additional framework or stack piece that would help bring all of that stuff together so that you can work with one technology, if you will, to do different types of automation."Paul Grizzaffi

Forrester's Lo Giudice said that companies prefer integrated platforms over best-of-breed testing tools.

Testing has many aspectsunit testing, functional testing, performance, load, security, integration testing, test data management, API testing,he said.

"Clients don't wantone tool for each, and they don't care about having a best of breed for each. They want an integrated platform because they're looking for a uniform, consistent experience going from one type of testing to another."Diego Lo Giudice

As with life in general, the COVID-19 pandemic has thrown a monkey wrench into the test automation landscape. As such, it's important for you to take these trends into consideration as you review your test automation tools and capabilities this year before investing time and money in anything new.

Continued here:

Test automation tools: 8 trends and techniques to watch - TechBeacon

The benefits of hyper-automation for banking – Finextra – Finextra

We know, we know.How many words can technologists add hyper too? But dont roll your eyes just yet.

Trust us, if you work in banking, hyper-automation will likely be the latest buzz word you hear in boardrooms (whether physical or remote) in 2021 and beyond.

Lets find out more!

The changing face of banking

Deloittesuggests that the post-pandemic bank will emerge a lot different to the one that went in. They forecast that banks will need to continue to focus on improving the digitisation of their operations, remain flexible to new business models and (most importantly) put customers at the heart of their digital strategy.

Day-to-day, customers have become much more accustomed to instant action, engagement and information from their interactions with brands and as such, trends like banking as a service (BaaS), the rapid proliferation of fintech solutions and regtech innovations, suggests that the time is right to consider the potential for hyper-automation.

However, If weve learned anything over the last year, its that humans still want to be well, human. As machines take over more roles in day-to-day operations, its critical banks keep people at the heart of their approach.

What is hyper-automation?

Coined byGartnerin 2019,hyper-automation is the full automation of the business processes and customer processes. It achieves this through an advanced ecosystem of operational and customer facing digital solutions that look to leverage the flexibility and scalability of modern IT infrastructure, which ultimately frees up staff to inject their creativity into delighting customers outside of said processes.

The automated business, combined with agile frameworks, provides opportunities for better-informed decision making, generated through a more holistic data picture throughout the organisation.Without getting too techy, Robotic Process Automation (RPA) is being enhanced and refined by technologies like artificial intelligence (AI), natural language processing (NLP), process mining, advanced analytics and more, to reduce costs, maintain accuracy and speed up processes.

Why its a fit for Banking

Banks who havent had the chance to start as a digitally native organisation have built up complex systems of legacy tools, which have been bolted onto an operational structure defined when they were a telephony or branch network bank.With new challengers flooding the market with cloud infrastructure and a mobile-first, digital proposition, the fight for market share has intensified. This is what makes automation such a compelling proposition, as any opportunity to slim down the operational costs will be welcomed to drive increased profitability.

From automating onboarding processes in lending to improving data quality and utility for better decision making, hyper-automation has the potential to augment workers ability, whilst reducing operational costs and human error.

The Benefits of hyper-automationIntegration

Productivity

Flexibility

Demonstrable ROI

What Makes It Hyper?

With your brain whizzing on the potential for these benefits in your business, you might now raise a valid question. We already have some automation in our business, whats the difference with hyper?

Tools working together

AdHoc vs Integrated

AI & ML

Narrow vs Large

Automation Use Cases for Banking

Lets look at a few ways automation can improve banking experiences:

Regulatory Reporting

Accentures 2016 compliance risk study found 73% of respondents thought RPA would be a key enabler for compliance in the next three years. Since then, automation has been deployed sporadically. However, the regulatory environment becomes more complex year-on-year, meaning standalone RPAs may become less useful. Complete automation, as advertised by hyper-automation, will require complex, multi-year implementation as well as culture phase shifts, but will be key to better risk and compliance.

Lending

Lending processes can still be slow and manual, even in 2021. There are a multitude of blockers from credit checks to employment verification that impacts turnaround times. Automation technologies can, with ease, extract or approve all the relevant loan data in seconds, validating customers from multiple sources.

For instance, mortgage processes sometimes take up to 50 days to approve. Automation, paired with emerging technology like blockchain, could combine to validate customer data from multiple sources automatically or reduce attrition from customers pulling applications due to minor errors on forms that caused delays.

Back-Office

As is usually the case, new technology is often deployed to customer-facing processes first to impress the market. However, back-end processes are ripe for automation possibilities. This is driven by the sheer volume of records and documents many banks continue to add to, even in the digital age.

On average retail banks have between 300-800 processes, all of which can be improved with business process management (BPM) platforms which can reduce human error or inefficiencies negatively impacting the customer experience. However, the key here is not to place a bandaid over something that is no longer fit for purpose.

Sales & Distribution

Retail branches of the future are due a makeover. Its reasoned a shift from contact centres to customer care platforms enhanced by intelligent routing provided by automation will occur. Similarly, embedding distribution on partner platforms through API and banking as a service (BaaS). All empowering frontline staff to harness their creativity and passion for serving customer needs.

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The benefits of hyper-automation for banking - Finextra - Finextra

CrowdStrike Releases 2021 Cybersecurity Global Threat Report – Automation World

As industrial companies connect plant-level software and devices to internet-connected enterprise systems, cybersecurity has become a critical operations issue for manufacturers of all sizes. While the Industrial Internet of Things (IIoT) greatly expands the efficiency of plant floor operations, it also introduces countless new vectors for potential cyberattacks. With more data flowing in and out of plants, the concern is that once localized networks will become more vulnerable.

The threat actors seeking to exploit these new loopholes include disgruntled employees and criminals attempting to steal intellectual property or other sensitive information for purposes of extortion, hacktivists who desire to garner public attention for their causes, and state-backed foreign agents engaged in espionage activities for political purposes.

Unfortunately, the risk of many of these types of attacks has only grown since the onset of COVID-19, according to cybersecurity company CrowdStrikes recently released 2021 Global Threat Report. This increased hacking activity stems from several sources. For one, as lockdowns took hold in early 2020, many workers migrated to home offices that lacked the cybersecurity protections of commercial workplaces equipped with dedicated information technology (IT) staff. In addition, as remote access boomed, the potential attack surface available to hackers was broadened. Finally, fear and uncertainty surrounding the pandemic has increasingly been exploited to engage in phishing attacks and other forms of social engineering designed to trick users into granting malevolent actors access to proprietary systems and information.

CrowdStrikes report details recent efforts engaged in by state-sponsored adversaries looking to steal valuable data pertaining to vaccine research and government responses to COVID-19 as well as targeted intrusions, sometimes referred to as big game hunting. In these latter efforts, e-criminals identify high-value individual targets for extortion and blackmail via infection with ransomwaresoftware that locks users out of a system until a fee is paid. The report notes that ransomware attacks on manufacturing facilities have proven uniquely effective, as the time-sensitive nature of their production schedules often renders paying the fee less expensive than losing critical throughput.CrowdStrike has observed a strong uptick in cybersecurity breaches in the past year. Manufacturing alone saw 228 ransomware incidents in 2020.

In addition to individual manufacturing facilities, healthcare and the supply chain also stood out in 2020 as particularly vulnerable. In the healthcare space, phishing attacks currently pose the greatest risk, with tactics and techniques taking a plethora of forms, including: exploitation of individuals looking for details on disease tracking, testing, and treatment; impersonation of medical bodies requesting information, including the World Health Organization (WHO) and U.S. Centers for Disease Control and Prevention (CDC); and offering financial assistance or government stimulus packages in exchange for private information.

Meanwhile, cyberattacks on the supply chain have relied on more sophisticated methods. For instance, in December of 2020, public reporting revealed a complex supply chain attack against the update deployment mechanism of the SolarWinds Orion IT management software. Those responsible for this attack were able to distribute malicious code which had the ability to collect information about the host, enumerate files and services on the system, modify registry keys, and terminate system processes. According to CrowdStrikes report, supply chain attacks represent an especially pernicious tactic because they allow malicious actors to propagate their attack from a single point of intrusion to multiple downstream targets. Following from this, CrowdStrike identifies the securing of cloud environments as a priority for cybersecurity professionals in the years to come.

To chart ongoing threats, CrowdStrike has also created an eCrime index based on various observables which are weighted by impact and continuously monitored. The index will allow users to remain aware of the changing mechanisms and tactics used to exploit vulnerable systems and will include additional analysis provided by CrowdStrikes subject matter experts.

Access CrowdStrikes full 2021 Global Threat Report.

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CrowdStrike Releases 2021 Cybersecurity Global Threat Report - Automation World

Is the Future of Manufacturing Automated or Autonomous? – Entrepreneur

March31, 20215 min read

Opinions expressed by Entrepreneur contributors are their own.

I recently took part in The EMS (Eric Miscoll Show), a biweekly panel discussion exploring all things manufacturing, and perhaps more specifically, all things EMS. This particular episode explored the topic of autonomous manufacturing and had two visionary founders and CEOs who believe that the next revolution in manufacturing goes way beyond automation to autonomy.

Those panelists were Theo Saville of CloudNC and Yoav Zingher of Launchpad.build. Both startups are leveraging complex computational algorithms and AI to build autonomous manufacturing solutions, CloudNC for CNC parts and Launchpad for new products introduction, or NPI, in the electronics space.

Related:The Big Reset for theManufacturingIndustry -- Get Ready for 2021

Much of the revolutionary talk over the last seven or so years has been around Industry 4.0 and the idea that connected factories using data and automation can substantially improve their performance, but to be frank, it has been way too much talk and not enough action. As Elvis Presly said, a little less conversation, a little more action please!

Theo Saville doesnt believe that these concepts around automation and data are revolutionary. In his view, industrial revolutions come less frequently, typically every 100 years, are life-changing, and deliver performance benefits that are orders of magnitude. He suggests that much of these so-called Industry 4.0 principles are merely tweaks or extensions of Industry 3.0, the computer and digital revolution that started decades ago and continues to deliver incremental benefit. This is evolution, not revolution.

Theo and his co-founder Chris Emery recognized that the CNC industry had sophisticated machines, capable of producing parts with incredible accuracy, but with a less than sophisticated method of programming and managing those machines. They saw a huge multi-billion-dollar industry underperforming and ripe for disruption. Their strategy was to start at machine autonomy, next to pull those machines together in an autonomous facility and eventually into an autonomous ecosystem of facilities around the world that deliver parts ast speed and at a substantially lower price. This ecosystem would use multiple copy and paste versions of their first autonomous facility.

Yoav Zinghers desire to shake things up comes from an even more personal place. Before starting Lanuchpad.build, with his co-founders Ofer Ricklis and Bill Gross, Yoav ran an energy business in the UK. His team needed to get a piece of hardware, in this case, a smart-meter, manufactured, and was stunned by the level of complexity and difficulty he encountered getting his new product developed, manufactured and fulfilled. He knew there had to be a better way and when he sold his energy business, he decided to tackle the very problem he had encountered. Thus Launchpad.build was born with the ambition to create an autonomous platform that would take a CAD (computer-aided design) package and provide costing, build instructions and a complete supply chain solution quickly, simply and economically. Launchpad also decided to tackle the issue of manual electronic assembly at the same time and designed the Digiline, their own adaptable automation module that would also be programmed directly from their front-end software.

When Theo and Yoav talk about autonomous manufacturing, they are not talking about the end of human operators;they are talking about autonomous decision-making, autonomous programming and autonomous supply chains. Take for example an autonomous system like an Amazon fulfillment facility. It is not lights-out with no human operators. In fact, its a vibrant and busy workspace where machines and humans are working in harmony. What makes it special is the software managing everything from order to final delivery, instructing both operators and automated systems like conveyors, packers and AGVs. Imagine a manufacturing ecosystem that operates like that!

Related:Technological Innovations theManufacturingIndustry Should Scale

Manufacturing autonomy is not just a good idea, its a timely idea, offering a chance to democratize both manufacturing and innovation. By creating autonomous and automated manufacturing solutions, it is possible to substantially reduce the labor cost element in manufacturing, allowing higher labor cost regions to bring manufacturing home. This is extremely timely given the desire of most nations to use manufacturing as part of their post-pandemic recovery strategy.

And the pandemic isnt the only driver or acceleration. The Covid-19 pandemic came on the back of a bitter trade war between the US and China, creating a perfect storm of disruption that has led to a real desire to restore supply chains to make nations more resilient to future risk.

Both Theo and Yoav agree that autonomous and automated manufacturing solutions offer the only route to competitiveness for the USand for Western Europe, where the benefits of massive consumer markets are offset by high labor rates.

Consumers want to buy products made locally, but they dont want to pay more for, or get less from, those products. Manufacturing autonomy might be just the solution the industry needs to create shorter, local supply chains that are more agile, resilient and sustainable.

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Is the Future of Manufacturing Automated or Autonomous? - Entrepreneur