The Intelligent Process Automation market research report is a fruitful research guide that gives prediction of Intelligent Process Automation market futuristic trends and examines market figures. Further, this report specifies the applications, extension, and key locales. Different explanation, portrayal, and representation considered in the report have made it easy to understand. This quintessence research report features the market drivers and constraints that affect the Intelligent Process Automation market development. The patterns and anticipated viewpoints for the market are additionally shrouded in the report which gives a savvy learning of the industry.

Global Intelligent Process Automation Market is driven by better optimization in the organization and to gain a major competitive edge within the market. Intelligent process automation is more focused towards reducing the costs and increasing the revenue. This is projecting a rise in estimated value from USD 7.34 billion in 2018 to an estimated value of USD 19.79 billion by 2026, registering a CAGR of 13.2% in the forecast to 2026.

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Major Industry Competitors:Intelligent Process Automation Market

Few of the major competitors currently working in intelligent process automation market are Automation Anywhere, Inc., UiPath., Blue Prism, Pegasystems Inc., AntWorks, NICE Robotic Automation, KOFAX INC., softmotive, SAP SE, AutomationEdge, Eggplant, LarcAI, Kryon Systems, Autologyx Ltd., Echelon, Sanbot Innovation Technology. Ltd, Cinnamon, Inc. and Crowd Computing Systems, Inc

Revealing the Competitive scenario

In todays competitive world you need to think one step ahead to chase your competitors, our research offers reviews about key players, major collaborations, merger & acquisitions along with trending innovation and business policies to present better insights to drive the business into right direction

Key Segmentation: Intelligent Process Automation Market

By Technology (Natural Language Processing, Machine and Deep Learning, Neural Networks, Virtual Agents, Mini Bots and RPA, Computer Vision, Others), Component (Solutions, Services), Vertical (Banking, Financial Services, and Insurance, Telecommunications and IT, Transport and Logistics, Media and Entertainment, Retail and E-Commerce, Manufacturing, Healthcare and Life Sciences, Others), Application (IT Operations, Business Process Automation, Application Management, Content Management, Security, Others),

Regional Outlook

North America (US, Canada, Mexico)

South America (Brazil, Argentina, rest of south America)

Asia and Pacific region (Japan, china, India, New Zealand, Vietnam, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, etc)

Middle east and Africa (UAE, Saudi Arabia, Oman, etc)

Europe (Germany, Italy, U.K, France, Spain, Netherlands, Belgium, Switzerland, Russia, etc)

Rapid Business Growth Factors

In addition, the market is growing at a fast pace and the report shows us that there are a couple of key factors behind that. The most important factor thats helping the market grow faster than usual is the tough competition.

What are the major market growth drivers?

Rapid increase in scope and usage of IT and automation within the globe with high acceptance ratio in the market

Automation with artificial intelligence helps in better customer experience and to grow in systematic manner

Minimizing the human work and error with optimum utilization of resources to earn greater efficiency of business enterprise in the market

Research strategies and tools used of Intelligent Process Automation Market:

This Intelligent Process Automation market research report helps the readers to know about the overall market scenario, strategy to further decide on this market project. It utilizes SWOT analysis, Porters Five Forces Analysis and PEST analysis.

Key Points of this Report:

The depth industry chain include analysis value chain analysis, porter five forces model analysis and cost structure analysis

The report covers North America and country-wise market of Intelligent Process Automation

It describes present situation, historical background and future forecast

Comprehensive data showing Intelligent Process Automation capacities, production, consumption, trade statistics, and prices in the recent years are provided

The report indicates a wealth of information on Intelligent Process Automation manufacturer

Intelligent Process Automation market forecast for next five years, including market volumes and prices is also provided

Raw Material Supply and Downstream Consumer Information is also included

Any other users requirements which is feasible for us

Key Developments in the Market:

In October 2018, Automation Anywhere launched Apeople an online community, for the experts and practitioners of robotic process automation, business process automation and artificial intelligence

In September 2018, Eggplant RPA by eggplant has been launched which can do or automate the work which is being done by the human using DAI technology. It has the capability of conversion and migration of 500,000 files which reduce the chances of overlapping of work using DAI technology

Some extract from Table of Contents

Overview of Global Intelligent Process Automation Market

Intelligent Process Automation Size (Sales Volume) Comparison by Type

Intelligent Process Automation Size (Consumption) and Market Share Comparison by Application

Intelligent Process Automation Size (Value) Comparison by Region

Intelligent Process Automation Sales, Revenue and Growth Rate

Intelligent Process Automation Competitive Situation and Trends

Strategic proposal for estimating availability of core business segments

Players/Suppliers, Sales Area

Analyze competitors, including all important parameters of Intelligent Process Automation

Global Intelligent Process Automation Manufacturing Cost Analysis

The most recent innovative headway and supply chain pattern mapping

Thanks for reading this article; you can also get individual chapter wise section or region wise report version like North America, Europe, MEA or Asia Pacific.

Table Of Contents Is Available [emailprotected] https://www.databridgemarketresearch.com/toc?dbmr=global-intelligent-process-automation-market&AM

Why Is Data Triangulation Important In Qualitative Research?

This involves data mining, analysis of the impact of data variables on the market, and primary (industry expert) validation. Apart from this, other data models include Vendor Positioning Grid, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. Triangulation is one method used while reviewing, synthesizing and interpreting field data. Data triangulation has been advocated as a methodological technique not only to enhance the validity of the research findings but also to achieve completeness and confirmation of data using multiple methods

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The COVID-19 Impact On Intelligent Process Automation Market | Recent Study Including Growth Factors, Applications And Regional Analysis - 3rd Watch...

Bengaluru: The covid-19 pandemic has created new opportunities for analytics and automation startups that have witnessed a growth in business, as clients focus on cutting costs and improving productivity amid hit to their businesses.

In the past four years, about 90% of enterprises have experienced a turn that upset normal operations, and organisations with a higher adoption rate of contemporary technologies including artificial intelligence (AI) and robotic process automation (RPA) will have a competitive advantage, a Gartner report has said.

Despite analytics including AI being part of discretionary spend", there has been an increase in demand for such solutions during the current downturn.

This was not the case during the recession of 2008-09," said Srikanth Velamakanni, co-founder and group chief executive, Fractal Analytics. "AI is still discretionary but most of our clients in the last three months have come up to us and said that though it is discretionary, it is mission critical. It is super important to us and we are actually going to expand," said Velamakanni.

"We have grown around 25% year-on-year in Q1 FY20."

Analytics startup Tredence, founded by former MuSigma executives, has also seen an uptick in business as customers look at ways to drastically reduce costs, chase demand and prepare to bounce back.

"There has been an increase in new deals this year much of which is inspired by the covid-19 downturn. So far this year, we have acquired as many new clients as we had in the whole of last year," said Shashank Dubey, co-founder and chief analytics officer, Tredence.

Automation Anywhere, a niche player in RPA, believes the slowdown is an opportunity for companies like them. According to their recent survey of over 5,000 senior executives mostly from India, over 50% of them are expected to invest in intelligent automation this fiscal as part of their digital transformation mandate.

"Covid-19 has created the perfect storm for organisations to accelerate digital transformation and to embrace intelligent automation, combining RPA, AI, machine learning and analytics," said Milan Sheth, executive vice president (IMEA), Automation Anywhere.

'We are witnessing a surge in interest for intelligent automation among our existing customers as well as we are onboarding new customers across industry verticals. The advantage of intelligent automation is that organisations can deploy software bots to handle many repetitive tasks freeing up human workers to focus on innovation," Sheth said.

RPA startup UiPath believes automation has come out as a "silver lining" for various enterprises in the last 3-4 months. "We have seen 20% growth y-o-y since February. This is much higher than our last quarter or even the same quarter last year," said Manish Bharti, president, UiPath India & South Asia.

While the demand for analytics and automation has been seen across verticals, these startups are witnessing an increased interest from retail, consumer packaged goods (CPG), fitness & healthcare, and the banking, financial services & insurance (BFSI) segments. While the BFSI sector is using automation to supplement processes for high-volume tasks, the healthcare sector is turning to automation to reduce paper trails in services like insurance.

The slowdown has also forced firms to re-think their business models. While these analytics startups are not seeing any pricing pressure, customers are demanding pricing models that are more outcome-based and transparent.

Our clients are showing great openness to take brave bets as long as we are ready to engage them with the outcome based revenue models," said Dubey.

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Analytics, automation startups gain as firms look to cut costs due to covid hit - Livemint

This report Added by Market Study Report, LLC, focuses on factors influencing the present scenario of the Pharmaceutical Industry Automation market. The research report also offers concise analysis referring to commercialization aspects, profit estimation and market size of the industry. In addition, the report highlights the competitive standing of major players in the projection timeline which also includes their portfolios and expansion endeavors.

The research report on Pharmaceutical Industry Automation market provides a granular assessment of this business vertical and includes information concerning the market tendencies such as revenue estimations, current remuneration, market valuation, and market size over the estimated timeframe.

Request a sample Report of Pharmaceutical Industry Automation Market at:https://www.marketstudyreport.com/request-a-sample/2680830?utm_source=3wnews.org&utm_medium=AG

An overview of the performance assessment of the Pharmaceutical Industry Automation market is enlisted. The document also comprises of crucial insights pertaining to the major industry trends and the expected growth rate of the said market. The study encompasses specifics related to the growth avenues as well as the restraining factors for this business space.

Major factors underlined in the Pharmaceutical Industry Automation market report:

Considering the geographical landscape of the Pharmaceutical Industry Automation market:

Pharmaceutical Industry Automation Market Segmentation: North America, Europe, Asia-Pacific & Middle East and Africa.

A summary of the details offered in the Pharmaceutical Industry Automation market report:

Ask for Discount on Pharmaceutical Industry Automation Market Report at:https://www.marketstudyreport.com/check-for-discount/2680830?utm_source=3wnews.org&utm_medium=AG

An overview of the Pharmaceutical Industry Automation market in terms of product type and application scope:

Product landscape:

Product types:

Key parameters included in the report:

Application Spectrum:

Application segmentation:

Specifics offered in report:

Additional information mentioned in the report:

Other insights regarding the competitive scenario of the Pharmaceutical Industry Automation market:

Vendor base of Pharmaceutical Industry Automation market:

Key parameters as per the report:

Highlights of the report:

Key questions answered in the report:

For More Details On this Report: https://www.marketstudyreport.com/reports/global-pharmaceutical-industry-automation-market-growth-status-and-outlook-2020-2025

Some of the Major Highlights of TOC covers:

Executive Summary

Manufacturing Cost Structure Analysis

Development and Manufacturing Plants Analysis of Pharmaceutical Industry Automation

Key Figures of Major Manufacturers

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Pharmaceutical Industry Automation Market Analysis & Technological Innovation by Leading Key Players - 3rd Watch News

Elementary Robotics, a robotics company developing tools to automate industrial tasks, today announced it has raised a $12.7 million round. The fresh capital will be used to deploy the Los Angeles-based startups automation products at scale, a spokesperson told VentureBeat.

McKinsey pegs the automation potential for production occupations at 79%, and the pandemic is likely to accelerate this shift. A report by the Manufacturing Institute and Deloitte found that 4.6 million manufacturing jobs will need to be filled over the next decade, and challenges brought on by physical distancing measures and a sustained uptick in ecommerce activity have stretched some logistics operations to the limit. The National Association of Manufacturers says 53.1% of manufacturers anticipate a change in operations due to the health crisis, with 35.5% saying theyre already facing supply chain disruptions.

Elementary asserts its prepared to address the industrys challenges. The company, which has kept a low profile since its founding in 2017, offers products that automate industrial inspections using a combination of hardware, software, machine learning, and computer vision to identify defects including those manufacturers might not be aware of. It enables manufacturers to set up inspections in the cloud so human inspectors can be kept in the loop and trace and train the systems over time.

Elementary offers a full stack robotic solution, with everything from motor controls to an API that enables machine learning from the ground up. The companys robots can learn to perform monotonous tasks and leverage RGB cameras, depth sensors, and AI to perceive the world, allowing them to learn from processes they observe.

CEO Arye Barnehama, who previously founded and sold wearable technology company Melon to Daqri, an industrial augmented reality startup that went on to raise $275 million, wasnt willing to reveal much beyond the basics about Elementarys solutions. But he believes the company is poised to become a world leader in assistive robotics, in part because of a proprietary vision stack with a lower bill of materials than many competing systems.

Elementary Robotics certainly has the talent to deliver on that vision. It counts graduates and employees from Qualcomm, Caltech, NASA JPL, SpaceX, and Art Center College of Design among its workforce, all of whom are working on cutting-edge robotic systems that will one day augment human workers by performing a range of complex tasks.

In a testament to its competitiveness, Elementary says it has inked deals with a number of manufacturing and logistics suppliers, including Toyota. Its customers have transitioned from sample-based inspection to 100% inspection and seen reduced scrap rates as workflows have become easier to standardize across factories and production lines.

Threshold Ventures led this weeks series A, with participation from existing backers Fika Ventures, Fathom Capital, and Toyota AI Ventures. The round brings Elementarys total raised to over $15 million.

With the warehouse robotics market alone anticipated to be worth $4.44 billion by 2022, according to Markets and Markets, theres no shortage of competition. Amazon acquired robotics company Kiva Systems for $775 million in March 2012, and last November DHL announced it would invest $300 million to modernize its warehouses in North America with internet of things sensors and robots. Elsewhere, Startups like Attabotics andCommonSense Robotics have raised tens of millions of dollars for compact automated fulfillment centers that can slot into tight spaces, like underground garages.

Read more from the original source:

Elementary Robotics raises $12.7 million to automate industrial inspections - VentureBeat

Imagine a ship sailing into port, only with no captain on the bridge, and nobody to be seen on board. In the past such a vessel might have been known as a ghost ship, but in the future it might just be our new normal.

European researchers are participating in this push and designing ships with varying degrees of autonomy. Two ships bound for automation already sail across Europe today. The first is a carrier that delivers fish feed along the west coast of Norway. The second is an inland cargo barge that operates in Flanders, the northern region of Belgium. Both are to be retrofitted for autonomous sailing as part of a project called AUTOSHIP.

The use-cases are very different, said Jason McFarlane, Research & Innovation Manager at the Norwegian company Kongsberg Maritime, a participant in AUTOSHIP. One is a short sea route off Norway, which has significant weather challenges. The inland route, in turn, requires the ship to operate in a confined waterway, often in areas where navigation is more challenging than in open seas.

Three parts

The technology that will make these boats autonomous is composed of three main parts. First you have the vessel control systems, said McFarlane. Second there is digital connectivity from vessel to shore. And finally you have the shore-based systems.

The first part is what makes the ships sail autonomously. This includes the sub-systems for situational awareness, such as sensors, positioning systems or cameras and other technologies that enable detection of obstacles. The data from these sensors is then joined together, something called sensor fusion, and feeds back into the ships autonomous navigation system which makes steering decisions based on it.

Its similar to self-driving cars in terms of scanning surroundings and detecting obstacles using AI-based computer vision systems. But there are differences too. McFarlane for example notes how every ship over a certain size is tracked using a transponder under a system called Automatic identification system (AIS), which potentially provides more information to vessel autonomous navigation systems than is available for cars. Ships on the open sea also go slower and have more space to manoeuvre than cars.

Two systems Kongsberg Maritime has developed are auto berthing and auto crossing. Essentially the crew press a button, and the ship will dock, said McFarlane. A range of sensors, that, for example, know the position or orientation of the boat, interact with our system. That allows the ship to dock without a captain on board.

For now, the crew is still on the vessel and can take action if they see a problem. The automatic system is installed on a passenger and car ferry operating in the Oslofjord and has been used in more than 80% of voyages. Yet even when a ship that uses this technology is fully uncrewed it would still be connected to a control centre on shore. Here, humans would remotely monitor the ships and its sensors, and be able to take over control manually.

It will probably require workers to become more qualified, but it will also mean that their skills and labour will be utilised more efficiently.

Danitsja van Heusden-van Winden, Innovation Manager, Netherlands Maritime Technology

Costs

McFarlane says there are several reasons to automate shipping. One is to increase the attractiveness of water-based transport, where labour can often be a significant proportion of operating costs. Another is to reduce road traffic and cut emissions. McFarlane notes that one barge, like the one they are testing in Flanders, can carry 300 tons of cargo which would replace 7,500 truck journeys per year. According to calculations from AUTOSHIP, this would reduce CO2 emissions per km by 90%. McFarlane says that automated ships could also sail more efficiently than if they had human operators, optimising for engine power and speed.

Nevertheless full autonomy isnt always the first step, and intermediate levels of automation might reach us before we go fully uncrewed. The NOVIMAR project works on platooning for inland and short-sea transport, where a partly automated ship follows a fully crewed leader vessel.

We don't sail fully autonomously, said Danitsja van Heusden-van Winden, project coordinator of NOVIMAR and innovation manager at the Dutch company Netherlands Maritime Technology. For now theres always at least one person on the ship.

In their model, a lead vessel sets out a line or course along a waterway, which is then imitated by the follower vessels. Instead of full autonomy, the follower vessels copy the route the lead ship took, keeping it on the desired path, while maintaining its distance to the next vessel. Its a concept they want to demonstrate at the end of the year in the Netherlands, and which they already tested using one-sixteenth-scale model ships in a laboratory basin in the German city of Duisburg.

Labour shortage

This partial automation could be important for reducing costs and filling in labour shortages. Instead of having to operate a number of ships with full crews, a company could operate one fully crewed lead ship and a few follower ships with limited staff.

Labour shortage is a known problem in shipping, said van Heusden-van Winden. Its hard to find qualified people.

In 2016 BIMCO, the largest association of shipping companies in the world, published a study which projected that by 2025 there would be a shortage of 150,000 maritime officers worldwide. Automation, whether full autonomy or a partial system like NOVIMARs, could help fill that gap.

Its also why van Heusden-van Winden argues that NOVIMAR wouldnt deeply impact the prospects of workers in the shipping industry. Our technology is not a threat to them, she said. It will probably require workers to become more qualified, but it will also mean that their skills and labour will be utilised more efficiently.

A study of the social impact is also a part of AUTOSHIP. McFarlane notes that there might be job losses for workers in inland shipping, and even for truck drivers. Yet their technology doesnt always replace workers. In the case of the Norwegian fish-feed carrier, the operating company mainly wants to use autonomous systems for efficiency, for example by allowing crews to rest right before docking and unloading the ship. At the same time new jobs might be created, like retrofitting boats for autonomous operations or controlling them remotely.

Our boats have a constrained form of autonomy, McFarlane said. There will always be a control centre. It will mean a shift of jobs. Instead of people living and working on barges, which young people sometimes don't want to do anymore, we can move to office jobs.

Hurdles

Nevertheless, there are hurdles to overcome before autonomous shipping will be rolled out. There are risks to having less people on board, which could undermine the business case, said van Heusden-van Winden. A vessel train might be caught in a storm, which might be more dangerous when theres only one person on board instead of a full crew, a problem for which NOVIMAR is currently searching for solutions.

Regulation equally remains a key issue. Many jurisdictions require a certain amount of people to be on board a vessel, defeating the purpose of automation. Both projects are in touch with regulators. Some regulations, for example, require ships to have a watch on the bridge, explained McFarlane. 'But does that mean a physical person needs to be there? Or can we specify that it doesn't have to be a person standing watch?

For now both projects are moving full steam ahead. NOVIMAR wants to do a real-life test at the end of 2020. And AUTOSHIP wants to follow with a demonstration of their own in 2022. After these trials, which includes a sea crossing from Norway to Denmark for AUTOSHIP, ships could start becoming more autonomous, although much depends on how fast regulatory changes are implemented. So in a few years ghost ships might be a common sight across European waters.

The research in this article was funded by the EU. If you liked this article, please consider sharing it on social media.

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Automated shipping coming to Europe's waters - Horizon magazine

This post was co-authored by Russell Pangborn and Brigid Mahoney of Seed IP Law Group.

There is an ongoing disagreement among various members and groups in the ICANN community regarding automation namely, whether and to what extent automation can be used to disclose registrant data in response to legitimate data disclosure requests. A major contributing factor to the complications around automation has been confusion about how to interpret and apply Article 22 of the GDPR. In its opening paragraph, Article 22 dictates that: "The data subject shall have the right not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects concerning him or her or similarly significantly affects him or her."

Indeed, the GNSO Expedited Policy Development Process Team on the Temporary Specification for gTLD Registration Data Phase 2 (EPDP) has been bogged down by this very question. Several prominent voices, such as those from the Registries Stakeholder Group and Registrar Stakeholder Group (RySG and RrSG, respectively) and legal feedback from Bird & Bird LLP, have advocated a "conservative" approach that assumes such automation would be regulated and thus not permitted by Article 22. But a newly-published article by Mike Hintze, partner and privacy law specialist with the firm Hintze Law, opines that Article 22 does not apply to the automated processing contemplated for the System for Standardized Access/Disclosure (SSAD). Based on a comprehensive analysis of the language, policy, and provided explanations of the GDPR itself, this article concludes that "Article 22 should rarely if ever apply to automated decisions to disclose personal data to a third party."

First, the article breaks down the above-quoted language of Article 22 to demonstrate that it would not just be inappropriate, but flat-out incorrect, to apply Article 22 regulations to automated processing and disclosure of registrant data in response to legitimate disclosure requests. Specifically, the article highlights Article 22's certainty requirement that the automatic disclosure "produces legal effects concerning him or her or similarly significantly affects him or her" (emphasis added). Note this language does not say "may produce," or "is likely to produce," suggesting there must be a degree of certainty that the automatic decision inherently will affect the data subject in a legal or similarly significant way. If such certainty were not inherent, how would the data producer be able to make such a determination in advance? As applied to the automation issue at hand, it is not certain that the disclosure of personal data will inherently result in a legal or similarly significant effect the third party receiving the data may choose to do nothing with the information.

If the third party does, however, choose to take action against the data subject that has legal or similarly significant effect, the automatic disclosure is at best an indirect cause of such effect. While the GDPR does not explicitly address the direct vs. indirect causation question, Hintze notes that the GDPR's text and practical examples demonstrate direct causation scenarios only as those falling under Article 22. If the GDPR drafters wanted to include under Article 22 automated decisions that could have an indirect legal or similarly significant effect, the drafters could have included such language. To assume indirect, "butterfly effect" type causation was intended to be included by the drafters is to believe the drafters intentionally created an impossible-to-escape maze where all avenues lead back to Article 22 any automated decision could indirectly result in a legal or similarly significant effect if one were to follow the chain of causation far enough.

Furthermore, the article quells potential concerns that automated decision-making for the disclosure of personal data would be left entirely unregulated if not under the purview of Article 22. To the contrary, the article points out, the GDPR contains other provisions that are more suitable for protecting data subjects' rights with respect to automated processing. For example, Article 6 requires a lawful basis for automated decision-making and for processing the disclosure of personal data to a third party. Advocates for automated responses to disclosure requests universally understand and support that there must be an underlying lawful basis, such as requests from law enforcement and in response to Uniform Domain Name Dispute Resolution Policy/Uniform Rapid Suspension System (UDRP/URS) providers for registrant verification in an active UDRP/URS proceeding. Additional examples that have been proposed as appropriate for automation include well-founded allegations of intellectual property infringement, phishing, fraud, and other similar matters of consumer protection, all of which comply with Article 6's requirement for a legal basis.

This article contributes an important, fresh, and well-grounded perspective to the discussion around automation and the GDPR. While Registries and Registrars may justify their position as ensuring they abide by the privacy rules set out by the GDPR, the well-reasoned analysis put forth by Hintze shows that there is no need to treat the automated processing contemplated for the SSAD as if it were regulated by Article 22. To do so is unnecessary and alarmist, and results in a misplaced and overbroad application of GDPR regulations to the detriment of the smooth functioning of the DNS system.

Free from the restrictions imposed by Article 22, it is important that the EPDP fully embraces and includes automation in its Final Report. Large-scale enforcement efforts by law enforcement, cybersecurity, and brand owners require automation to achieve meaningful results and improve online safety for end-users. Without access to automation, as currently stands, such enforcement efforts are routinely hampered by impractical and tedious reveal requests, which are all too often ignored, and thus require subsequent legal action such as filing a UDRP or lawsuit just to obtain registrant information. This convoluted process is inefficient, excessively time-consuming, and ultimately enables bad actors to continue carrying out DNS abuse in the absence of essential, effective tools for enforcement efforts. The health of the ICANN community and overall DNS system will thus benefit immensely from allowing automated processing and disclosure of registrant data in response to legitimate disclosure requests. As Hintze's article concludes, this can be done without fear of violating Article 22 of the GDPR as it does not apply to the automation contemplated by the EPDP.

Excerpt from:

Article 22 of the GDPR Should Not Preclude Contemplated Automation - CircleID

The COVID-19 pandemic has created an economic turmoil, where industries and businesses have come to a standstill.Organisations are also suffering losses due to the shortfall in productivity due to the lockdown.

In this scenario, one of the leading ecommerce players in India, which has a warehouse spread over 100,000 square feet, faced the challenge of carrying out quality checks on all the goods that were coming into the facility.

Being a very human-intensive exercise, the company had to engage with a computer vision startup to deploy its automation technologies to do the job.

Automation technologies have been around for some time, with their deployment at various levels like chatbots, automated tele-calling, voice assistants, or the industrialised robotic environment. But now, the trigger has come in the form of COVID-19, where there seems to be an urgency to deploy these technologies.

Indian IT industry body Nasscom, in a report title COVID-19 Tipping for automation", says the pandemic has acted as a catalyst for the development of automation technologies.

While the financial services sector has been one of the early adopters of automation technologies with likes of banks, insurance companies, etc., the manufacturing and ecommerce sectors have stepped up their automation efforts. However, sectors which have lower digitisation capability are generally slower in adopting automation.

Milan Sheth, Executive Vice President India, Middle East, and Africa East region, Automation Anywhere, a robotic process automation unicorn, says,

According to him, companies and industries are increasingly relying on automation to ensure there is continuity in operations, faster return on investment, and it has the ability to generate revenue even during these times.

He cites the example of car insurance, which requires onsite inspection, and hence human interaction. In this time of COVID-19, one can do it remotely by doing the inspection through the computer vision platform, thereby minimising the risk, and also generating revenue for the insurance company.

Umesh Sachdev, Co-founder of Uniphore, a conversational AI startup, says, the multifold increase in the number of calls over the last three months reveals the need for automation and AI.

It is a rude shock for companies being forced to take this decision. There is uncertainty, but clients want AI to automate their business, he remarks.

Accordingto AccenturesFuture Systems research, whereit conducted a survey on 8,300 companies before the COVID-19 crisis, only 10 percent of the companies had cracked the code on systems resilience.

The report clearly says artificial intelligence (AI) and automation are the way forward. In the future, key markers of adaptable organisations include enterprise-wide use of automation and AI, a continuous data supply chain in the cloud to power the AI in the enterprise, and a stable but modular, flexible, and constantly evolving architecture. About 94 percent of leaders systematically track ROIs in automation across the organisation, compared to only 47 percent of laggards.

Typically, whenever there is a crisis, the level of interaction among humans increases, and in the current situation, there is a need for automation to handle the increased load.

According to Umesh, many BPO centres have witnessed 4X traffic, and Uniphores AI platform allowed them to monitor the calls using speech-to-text platform.

UiPath, a global RPA unicorn, with its R&D centre in Bengaluru, stated that as COVID-19 pandemic continues to impact business operations, organisations around the world are facing extreme challenges, including the increased need in customer support.

For example, OTP Bank Romania is using an automation solution that integrates the capabilities of both Druid chatbots and UiPaths software robots to process requests to postpone bank loan instalments. The integration allowed the bank to cut down the processing time of a single request from 10 minutes to 20 seconds, and cope with a 125 percent increase in the number of calls received by call centre agents, enabling it to process three times more deferral requests with the same number of people in the back office.

Automation has also stepped into the area of human resource management (HRM) in a major way.

Eightfold, the talent intelligence platform, is able to match individuals and opportunities based on their potential to succeed in a role, rather than look at their past success through its AI platform.

This, in turn, increases efficiency, reduces the time taken for the entire process, and also results in cost savings.

There is also the deployment of AI and automation in an area like agriculture. Plantix, an agritech startup founded by Rob Strey and Simone Strey, which has its base in Hyderabad and Berlin, leverages AI and automation to help farmers.

The company uses AI to identify plant diseases, pests, and nutrient deficiencies. The only thing the farmer needs to do is click an image of the crop with the app installed on the smartphone and the software identifies the problem. Plantix then gives recommendations to find the right product, which helps fight the disease. The app also gives disease alert to farmers.

As many as 1.2 million farmers use the app at least once per month, says Simone.

The jury is still out on what will be the impact on jobs with the onset of automation. It is expected that there would be some loss of jobs, but it is unlikely to be large scale as automation technologies is still in its early days.

Today, automation is not just about ensuring efficiency or cutting down the costs, but it can be a key enabler for revenue generation.

The pace of automation is certainly going to increase in the days to come, and the adoption level among companies and sector can vary.

Milan of Automation Anywhere says, The progressive ones in the automation strategy are those companies which are digital-ready and the same cannot be said of those who have not digitised enough.

Automation can also bring other benefits, which a normal human being in a repetitive task might find it a strain. There is a significant increase in the adoption of automation technologies as it removes subjectivity and makes it contactless. These automation platforms have the ability to continuously learn, which makes it much more superior, says Ajith of Camcom.

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How COVID-19 is set to speed up the adoption of automation technologies - YourStory.com

The global Industrial Automation Motion Control System Hardware market study presents an all in all compilation of the historical, current and future outlook of the market as well as the factors responsible for such a growth. With SWOT analysis, the business study highlights the strengths, weaknesses, opportunities and threats of each Industrial Automation Motion Control System Hardware market player in a comprehensive way. Further, the Industrial Automation Motion Control System Hardware market report emphasizes the adoption pattern of the Industrial Automation Motion Control System Hardware across various industries.

The Industrial Automation Motion Control System Hardware market report examines the operating pattern of each player new product launches, partnerships, and acquisitions has been examined in detail.

The report on the Industrial Automation Motion Control System Hardware market provides a birds eye view of the current proceeding within the Industrial Automation Motion Control System Hardware market. Further, the report also takes into account the impact of the novel COVID-19 pandemic on the Industrial Automation Motion Control System Hardware market and offers a clear assessment of the projected market fluctuations during the forecast period.

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In global market, the following companies are covered: SiemensRockwell AutomationKINGSTARKollmorgenPanduitDelta Electronics, Inc.Bosch Rexroth AGApplied Motion Systems, Inc.ValinB&R AutomationFaber Industrial Technologies

Market Segment by Product TypeDrive-basedPC-basedController-based

Market Segment by ApplicationSemiconductor and ElectronicsFPDMedical and BioscienceOthers

Key Regions split in this report: breakdown data for each region.United StatesChinaEuropean UnionRest of World (Japan, Korea, India and Southeast Asia)

The study objectives are:To analyze and research the Industrial Automation Motion Control System Hardware status and future forecast in United States, European Union and China, involving sales, value (revenue), growth rate (CAGR), market share, historical and forecast.To present the key Industrial Automation Motion Control System Hardware manufacturers, presenting the sales, revenue, market share, and recent development for key players.To split the breakdown data by regions, type, companies and applications To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.To identify significant trends, drivers, influence factors in global and regionsTo analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market

In this study, the years considered to estimate the market size of Industrial Automation Motion Control System Hardware are as follows:History Year: 2014-2018Base Year: 2018Estimated Year: 2019Forecast Year 2019 to 2025

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The Industrial Automation Motion Control System Hardware market report offers a plethora of insights which include:

The Industrial Automation Motion Control System Hardware market report answers important questions which include:

The Industrial Automation Motion Control System Hardware market report considers the following years to predict the market growth:

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Why Choose Industrial Automation Motion Control System Hardware Market Report?

Industrial Automation Motion Control System Hardware Market Reportfollows a multi- disciplinary approach to extract information about various industries. Our analysts perform thorough primary and secondary research to gather data associated with the market. With modern industrial and digitalization tools, we provide avant-garde business ideas to our clients. We address clients living in across parts of the world with our 24/7 service availability.

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COVID-19 Outbreak Briefly Derails Industrial Automation Motion Control System Hardware Market; Sales to Pick up Pace Once the Pandemic Begins to...

The research study presented in this report offers complete and intelligent analysis of the competition, segmentation, dynamics, and geographical advancement of the Global Top Industrial Automation Market. The research study has been prepared with the use of in-depth qualitative and quantitative analyses of the global Top Industrial Automation market. We have also provided absolute dollar opportunity and other types of market analysis on the global Top Industrial Automation market.

It takes into account the CAGR, value, volume, revenue, production, consumption, sales, manufacturing cost, prices, and other key factors related to the global Top Industrial Automation market. All findings and data on the global Top Industrial Automation market provided in the report are calculated, gathered, and verified using advanced and reliable primary and secondary research sources. The regional analysis offered in the report will help you to identify key opportunities of the global Top Industrial Automation market available in different regions and countries.

The report on the Top Industrial Automation market provides a birds eye view of the current proceeding within the Top Industrial Automation market. Further, the report also takes into account the impact of the novel COVID-19 pandemic on the Top Industrial Automation market and offers a clear assessment of the projected market fluctuations during the forecast period.

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The authors of the report have segmented the global Top Industrial Automation market as per product, application, and region. Segments of the global Top Industrial Automation market are analyzed on the basis of market share, production, consumption, revenue, CAGR, market size, and more factors. The analysts have profiled leading players of the global Top Industrial Automation market, keeping in view their recent developments, market share, sales, revenue, areas covered, product portfolios, and other aspects.

In global market, the following companies are covered:General Dynamics CorporationAirbus SEMotorola SolutionsCobham PLCNokia CorporationBittium CorporationSamsung Electronics Corporation LimitedCisco SystemsEricsson ABAT&T Inc.

Market Segment by Product TypeRoboticsASRS M2MHandling Equipment

Market Segment by ApplicationAutomotiveElectrical & ElectronicsMetals & MachineryPharmaceuticals & Cosmetics

Key Regions split in this report: breakdown data for each region.United StatesChinaEuropean UnionRest of World (Japan, Korea, India and Southeast Asia)

The study objectives are:To analyze and research the Top Industrial Automation status and future forecast in United States, European Union and China, involving sales, value (revenue), growth rate (CAGR), market share, historical and forecast.To present the key Top Industrial Automation manufacturers, presenting the sales, revenue, market share, and recent development for key players.To split the breakdown data by regions, type, companies and applicationsTo analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.To identify significant trends, drivers, influence factors in global and regionsTo analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market

In this study, the years considered to estimate the market size of Top Industrial Automation are as follows:History Year: 2014-2018Base Year: 2018Estimated Year: 2019Forecast Year 2019 to 2025

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Top Industrial Automation Market Size and Forecast

In terms of region, this research report covers almost all the major regions across the globe such as North America, Europe, South America, the Middle East, and Africa and the Asia Pacific. Europe and North America regions are anticipated to show an upward growth in the years to come. While Top Industrial Automation Market in Asia Pacific regions is likely to show remarkable growth during the forecasted period. Cutting edge technology and innovations are the most important traits of the North America region and thats the reason most of the time the US dominates the global markets. Top Industrial Automation Market in South, America region is also expected to grow in near future.

The Top Industrial Automation Market report highlights is as follows:

This Top Industrial Automation market report provides complete market overview which offers the competitive market scenario among major players of the industry, proper understanding of the growth opportunities, and advanced business strategies used by the market in the current and forecast period.

This Top Industrial Automation Market report will help a business or an individual to take appropriate business decision and sound actions to be taken after understanding the growth restraining factors, market risks, market situation, market estimation of the competitors.

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Escalating Demand for Top Industrial Automation Amid COVID-19 to Record Sharp Growth through Pandemic - Medic Insider

The third edition of Extra Shot focuses on cloud native and automation, picking up on comments and views expressed during the DSP Leaders World Forum sessions. In fact, a number of discussions during DSP Leaders World Forum covered cloud native, with lots of panellists commenting on developments, opportunities and challenges, but where are we in terms of real demand for cloud native capabilities? We also wanted to learn what role industry bodies such as the CNTT and the ETSI NFV ISG will play and whether they do different things.

Closely associated with virtualized and cloud native functionality is automation operators need to introduce automated processes into their operations in order to manage their next-generation networks in an efficient way. But whilst automated processes are going to really help CSPs, it isnt easy to introduce true, zero touch automation. Furthermore, will it help operators achieve their 5G ambitions?

Naturally, we asked our special guests about their hot beverage preferences

Featuring:

Filmed with TelecomTVs Smart Studio service

Resource Links:

DSP Leaders video discussion:How to Implement Cloud Native Network Transformation

DSP Leaders video discussion:People and Processes for Cloud Native Telcos

Want a copy of the Cloud Native Telco report? Email Guy Daniels: guy at telecomtv dot com

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Extra Shot: Cloud Native and Automation - TelecomTV

TheGlobal Industrial Automation Software Market Perspective, Comprehensive Analysis along with Major Segments and Forecast, 2020-2025. The Industrial Automation Software Market report is a valuable source of insightful data for business strategists. It offers the industry overview with growth analysis and historical & futuristic cost, revenue, demand, and supply data (as applicable). The report explores the current outlook in global and key regions from the perspective of players, countries, product types, and end industries. This Industrial Automation Software Market study provides comprehensive data that enhances the understanding, scope, and application of this report.

Top Companies in the Global Industrial Automation Software Market:Dassault Systmes, Wipro, Honeywell International, HCL Technologies, Rockwell Automation, Hitachi, SAP, Accenture, Emerson Electric, TCS, WERUM IT Solutions, ABB, Parsec Automation, and Other.

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Based ontype, the global Industrial Automation Software market is segmented into:

SCADA Software

DCS Software

MES Software

HMI Software

PLC Software

Based onapplication, the global Industrial Automation Software market is segmented into:

Process Industries

Discrete Industries

Regional Segments Analyzed Include: Europe Market (Germany, UK, France, Russia, Italy) North America Market (United States, Canada, Mexico) Asia Pacific Market (China, Japan, Korea, India, Southeast Asia) Center East and Africa Market (Saudi Arabia, UAE, Egypt, Nigeria, South Africa) South America Market (Brazil, Argentina, Colombia).

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What are the market factors that are explained in the report?

-Key Strategic Developments:The study also includes the key strategic developments of the market, comprising R&D, new product launch, M&A, agreements, collaborations, partnerships, joint ventures, and regional growth of the leading competitors operating in the market on a global and regional scale.

-Key Market Features:The report evaluated key market features, including revenue, price, capacity, capacity utilization rate, gross, production, production rate, consumption, import/export, supply/demand, cost, market share, CAGR, and gross margin. In addition, the study offers a comprehensive study of the key market dynamics and their latest trends, along with pertinent market segments and sub-segments.

-Analytical Tools:The Global Industrial Automation Software Market report includes the accurately studied and assessed data of the key industry players and their scope in the market by means of a number of analytical tools. The analytical tools such as Porters five forces analysis, feasibility study, and investment return analysis have been used to analyzed the growth of the key players operating in the market.

The research includes historic data from 2015 to 2020 and forecasts until 2025 which makes the reports an invaluable resource for industry executives, marketing, sales and product managers, consultants, analysts, and other people looking for key industry data in readily accessible documents with clearly presented tables and graphs.

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Industrial Automation Software Market 2020 Emerging Trends and Technology Dassault Systmes, Wipro, Honeywell International, HCL Technologies,...

Global Business Process Automation Software Market Size, Status and Forecast 2020-2026

This report studies the Business Process Automation Software market with many aspects of the industry like the market size, market status, market trends and forecast, the report also provides brief information of the competitors and the specific growth opportunities with key market drivers. Find the complete Business Process Automation Software market analysis segmented by companies, region, type and applications in the report.

New vendors in the market are facing tough competition from established international vendors as they struggle with technological innovations, reliability and quality issues. The report will answer questions about the current market developments and the scope of competition, opportunity cost and more.

The major players covered in Business Process Automation Software Market: Microsoft, Oracle, IBM, Laserfiche, Nintex UK Ltd, Kissflow Inc, OktaInc, bpmonline, Zoho Corporation Pvt, Process Street, TIBCO Software Inc, OptimumHQ, Process Bliss, Prophix

The final report will add the analysis of the Impact of Covid-19 in this report Business Process Automation Software industry.

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Global Business Process Automation Software Market: Competitive Landscape

This section of the report identifies various key manufacturers of the market. It helps the reader understand the strategies and collaborations that players are focusing on combat competition in the market. The comprehensive report provides a significant microscopic look at the market. The reader can identify the footprints of the manufacturers by knowing about the global revenue of manufacturers, the global price of manufacturers, and production by manufacturers during the forecast period of 2020 to 2026.

Business Process Automation Software Market in its database, which provides an expert and in-depth analysis of key business trends and future market development prospects, key drivers and restraints, profiles of major market players, segmentation and forecasting. An Business Process Automation Software Market provides an extensive view of size; trends and shape have been developed in this report to identify factors that will exhibit a significant impact in boosting the sales of Business Process Automation Software Market in the near future.

This report focuses on the global Business Process Automation Software status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Business Process Automation Software development in United States, Europe, China, Japan, Southeast Asia, India, and Central & South America.

Market segment by Type, the product can be split into

Market segment by Application, split into

The Business Process Automation Software market is a comprehensive report which offers a meticulous overview of the market share, size, trends, demand, product analysis, application analysis, regional outlook, competitive strategies, forecasts, and strategies impacting the Business Process Automation Software Industry. The report includes a detailed analysis of the market competitive landscape, with the help of detailed business profiles, SWOT analysis, project feasibility analysis, and several other details about the key companies operating in the market.

The study objectives of this report are:

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The Business Process Automation Software market research report completely covers the vital statistics of the capacity, production, value, cost/profit, supply/demand import/export, further divided by company and country, and by application/type for best possible updated data representation in the figures, tables, pie chart, and graphs. These data representations provide predictive data regarding the future estimations for convincing market growth. The detailed and comprehensive knowledge about our publishers makes us out of the box in case of market analysis.

Key questions answered in this report

Table of Contents

Chapter 1: Global Business Process Automation Software Market Overview

Chapter 2: Business Process Automation Software Market Data Analysis

Chapter 3: Business Process Automation Software Technical Data Analysis

Chapter 4: Business Process Automation Software Government Policy and News

Chapter 5: Global Business Process Automation Software Market Manufacturing Process and Cost Structure

Chapter 6: Business Process Automation Software Productions Supply Sales Demand Market Status and Forecast

Chapter 7: Business Process Automation Software Key Manufacturers

Chapter 8: Up and Down Stream Industry Analysis

Chapter 9: Marketing Strategy -Business Process Automation Software Analysis

Chapter 10: Business Process Automation Software Development Trend Analysis

Chapter 11: Global Business Process Automation Software Market New Project Investment Feasibility Analysis

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Business Process Automation Software Market (impact of COVID-19) Growth, Overview with Detailed Analysis 2020-2026| Microsoft, Oracle, IBM,...

With having published myriads of reports, Tunnel Automation Market Research imparts its stalwartness to clients existing all over the globe. Our dedicated team of experts delivers reports with accurate data extracted from trusted sources. We ride the wave of digitalization facilitate clients with the changing trends in various industries, regions and consumers. As customer satisfaction is our top priority, our analysts are available to provide custom-made business solutions to the clients.

In this new business intelligence report, Tunnel Automation Market Research serves a bunch of market forecast, structure, potential, and socioeconomic impacts associated with the global Tunnel Automation market. With Porters Five Forces and DROT analyses, the research study incorporates a comprehensive evaluation of the positive and negative factors, as well as the opportunities regarding the Tunnel Automation market.

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The Tunnel Automation market report has been fragmented into important regions that showcase worthwhile growth to the vendors. Each geographic segment has been measured based on supply-demand status, distribution, and pricing. Further, the study brings information about the local distributors with which the market players could create collaborations in a bid to sustain production footprint.

The following manufacturers are covered:

Johnson ControlsABBJohnson ControlsHoneywell InternationalSICKSiemensEatonHoneywellPhilips LightingTraneSwarco

Segment by Regions

North America

Europe

China

Japan

Southeast Asia

India

Market Segmentation based on Type:

HVACLighting & Power SupplySignalizationOthers

Market Segmentation based on Application:

Railway tunnelHighway tunnelOther tunnels

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Segmentation of the Tunnel Automation market to target the growth outlook and trends affecting these segments.

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Readers can get the answers of the following questions while going through the Tunnel Automation market report:

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Global Tunnel Automation Industry Market Insights, Opportunity, Analysis, Market Shares & Forecast 2020 2027 - 3rd Watch News

Due to the pandemic, we have included a special section on the Impact of COVID 19 on the Assembly AutomationMarket which would mention How the Covid-19 is Affecting the Industry, Market Trends and Potential Opportunities in the COVID-19 Landscape, Key Regions and Proposal for Assembly Automation Market Players to battle Covid-19 Impact.

The Assembly AutomationMarket report is one of the most comprehensive and important data about business strategies, qualitative and quantitative analysis of Global Market. It offers detailed research and analysis of key aspects of the Assembly Automation market. The market analysts authoring this report have provided in-depth information on leading growth drivers, restraints, challenges, trends, and opportunities to offer a complete analysis of the Assembly Automation market.

Top Leading players covered in the Assembly Automation market report: FANUC, ABB, Yaskawa, Kuka, Hanwha, Hirata, ThyssenKrupp, ATS Automation, Velomat, Bastian Solutions and More

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The report offers clear guidelines for players to cement a position of strength in the global Assembly Automation market. It prepares them to face future challenges and take advantage of lucrative opportunities by providing a broad analysis of market conditions. the global Assembly Automation market will showcase a steadyCAGR in the forecast year 2020 to 2026.

Key Product Type:Robot Automation EquipmentOther Automation EquipmentCentral control system

Market by Application:Automobile3C IndustryOthers

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Regions Covered in the Global Assembly Automation Market: The Middle East and Africa (GCC Countries and Egypt) North America (the United States, Mexico, and Canada) South America (Brazil etc.) Europe (Turkey, Germany, Russia UK, Italy, France, etc.) Asia-Pacific (Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia)

Years Considered to Estimate the Assembly Automation Market Size:History Year: 2015-2019Base Year: 2019Estimated Year: 2020Forecast Year: 2020-2026

Highlights of the Report: Accurate market size and CAGR forecasts for the period 2019-2026 Identification and in-depth assessment of growth opportunities in key segments and regions Detailed company profiling of top players of the global Assembly Automation market Exhaustive research on innovation and other trends of the global Assembly Automation market Reliable industry value chain and supply chain analysis Comprehensive analysis of important growth drivers, restraints, challenges, and growth prospects

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Global Assembly Automation Market with Covid-19 Effect Analysis | likewise Industry is Booming Globaly with Key Players FANUC, ABB, Yaskawa, Kuka,...

Ciscos huge customer event Cisco Live was virtualized and moved to this week. This was the first virtual event Ive done with a focus on networking and communication. CEO Chuck Robbins did the opening keynote, and he has stood out as one of the most passionate folks when it comes to Corporate Social Responsibility and taking care of both customers and employees during these difficult times.

He opened by pointing out that according to surveys, 73% of the folks surveyed are under some form of severe mental stress. Robbins has been on a mission to reduce that stress by focusing on connecting people that need to be connected (like those under quarantine) and automating the tools Cisco sells. In addition, throughout the keynote he wove in elements of Corporate Social Responsibility, showcasing the impressive way Cisco and its customers helped during these difficult times.

Cisco Live was one of the better-run keynotes with a blend of talking, videos, and additional speakers who made the event comparatively more engaging than most Ive seen.

Lets talk about my impressions.

One of the first significant messages was that Cisco has a substantial focus on getting their customers up and running for this new Pandemic normal. Robbins praised the IT folks his people worked with repeatedly for taking on the related tasks aggressively, both protecting their fellow employees and the business. Something like 88% of them, when surveyed, indicated they had become far more strategic during this Pandemic catastrophe.

Cisco itself was at the forefront of this change, shifting 98% of its workforce to remote over a matter of days. The lessons from this move made Cisco far more capable of helping their customers. However, Robbins called out some customers, like Met Life, who had already made a significant investment that allowed them to make the shift quickly, effectively, and with little drama.

Throughout the event, Cisco called out customer after customer who had executed wellpraising the IT teams who went above and beyond. This praise is crucial because IT has had to massively shift support while they, too, are suffering from the related health risks. Presenting them as heroes helps overcome the belief that their efforts were under-appreciated (and it was not only really nice, but the right thing to do).

One example was a Honeywell superhero video that showcased how they rapidly went from 35K remote workers to over 100K. They also spoke to news services like CNN that are aggressively using the technology to connect their now remote guests and hosts to the studio. In doing this, news programming wasnt more adversely impacted.

Cisco has internally been doing massive readjustments. They reimagined (and are continuing to reimagine) applications, looking at better ways to secure data when dealing with a remote workforce, transforming their infrastructure, and empowering their now remote teams. What they learned doing this is being shared with customers who are having to go through the same process. One area getting a lot of focus is the customer experience. Engagement has become more complicated, and the tools and people are undergoing a process that will make them fare more effective under these new conditions.

To address the massive increase in workload for an IT organization, Cisco is advancing its AI ML (Artificial Intelligence Machine Learning) capabilities so that the tools will increasingly become a force multiplier for IT and be able to move towards autonomy for the future.

The significant difference with Cisco Live is the embedding of Corporate Social Responsibility. Tae Yoos team working with Robbins has done a fantastic job integrating this concept throughout this event. Most often, CSR is a separate item to be checked off a list, not built into the firms culture.

This separation lowers the overall impact of the effort and makes it look like it is more smoke than substance. By integrating their efforts to make the world a better place throughout the event, they made it a part of their companys image and culture, establishing it as a far more critical part of Cisco in the eyes of this audience.

As a result, I think most left this event feeling far more positive about Cisco. To Stella Low and her team that put on the analyst portion of this event: excellent work!

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Cisco Live Keynote: Focus on Health, Security, Automation, and Doing the Right Thing - IT Business Edge

The latest report on Factory Automation Mechanical Component market offers total study of the global business perspective. This industry is anticipated to grow at a CAGR of XX.XX% during the forecast period. This research presents a thorough survey of the Factory Automation Mechanical Component market offering a total information of historic market trends, performance and market perspective to 2024.

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The Factory Automation Mechanical Component market report is highly focused on major players of the industry for identifying potential development factors, future open entryways subject to the historic marketing activities. These segments incorporated in the report are foreseen to boost improvement during the forecast period. The market is foreseen to grow strongly throughout the projected time frame, inferable from some major factors boosting the development of this market. The key profile section deeply analyzes profiles of major players and their significant role in the growth of the market.

Key Companies associated with this report: * ABB* Emerson* Rockwell* Siemens* GE* Schneider

End users given in this report are* Application I* Application II* Application III

For product type segment, this report listed main product type of Factory Automation Mechanical Component market* Product Type I* Product Type II* Product Type III

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The report uncovers understanding of the outstandingly partitioned Factory Automation Mechanical Component market and its dynamic nature. The report gives a point by point examination of the market describing the future opportunities, subject to the past examples. Also, the report presents Factory Automation Mechanical Component market, considering parts (enlightenments and services), disposition types, applications, and regions with respect to growing trends and responsibilities toward the overall market.

The Factory Automation Mechanical Component Market look at presents an assessment study by combining primary as well as secondary research. The report gives understandings of information on the key factors stressed over delivering and confining market development. Additionally, the report inspects modest developments, for instance, mergers and acquisitions, new partnerships, new contracts & agreements, and new product development in the overall market. The past examples and future prospects associated with this report makes it significantly understandable for the assessment and analysis of the market. Furthermore, the latest examples, product portfolio, economics, geographical division, and regulatory framework of the Factory Automation Mechanical Component market have moreover been associated with the study.

Overall Factory Automation Mechanical Component Market Research Report 2020

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Factory Automation Mechanical Component Market Segments, Opportunity, Growth and Forecast by End-use Industry - Cole of Duty

Theres been no shortage of conjecture about the impact of COVID-19 on business. Many are predicting the pandemic will accelerate the digital transformation because of its inherent ability to allow for social distancing.

Wind River, a supplier of software for intelligent edge computing applications, recently conducted a survey of industry executives in the U.S. and China to gauge their response to the pandemic. Not surprisingly, the results showed that 98% of respondents in China and 90% in the U.S. note their ability to meet customer demands has been impacted, with 75% across both regions noting that they are modifying corporate strategies due to COVID-19.

More specifically, the survey showed these executives are focusing on distinct technology areas as part of their developing strategies. For the executives more focused on transforming their businesses amid the pandemic, those enterprises are increasing their spend in the following areas:

The Wind River study notes that, regardless of region, most enterprises realize that the road ahead will be tough. Fifty percent of enterprises in the U.S. and 77% in China are seeing heavier workloads across their teams. They also anticipate the need to implement major initiatives such as accelerating new business models (83% in U.S., 89% in China) and building in more agile development (82% in U.S., 86% in China).

Markets and Markets, a B2B research firm, predicts significant growth in the articulated robot markets as a result of the pandemic. Post-COVID-19, Markets and Markets predicts the traditionalindustrial robotics marketsize (including the prices of peripherals, software, and system engineering) will grow from $44.6 billion in 2020 to $73 billion by 2025. And this predicted growth rate reflects a reduction of about 3% due to COVID-19 impacts.

The dearth of skilled labor and solicitation of proposals by governments and public-private companies to mitigate the adverse impact of COVID-19 are key driving factors for the (robotics) market, says Markets and Markets. Although the COVID-19 pandemic will negatively affect the market growth until Q2 or Q3 of 2020, the market is expected to grow from 2021 onwards as the players in the industrial robotics market clear their backlogs and start with the new orders. For instance, for fiscal year 2019, the robotics business division of Kuka had order backlogs worth $309 million.

Amid the COVID-19 slowdown, Markets and Markets predicts that articulated robots will hold a large market share in 2020. Although most industries are affected due to the COVID-19 pandemic, articulated robots are still expected to maintain the highest share of the industrial robotics market during the forecast period, says Markets and Markets. Other robots, such as SCARA and parallel robots, are more specialized and not as versatile in terms of payload and reach compared to articulated robots. Hence, articulated robots will still maintain the largest share in the industrial robotics industry throughout the forecast period.

Like articulated robots, the automated guide vehicle (AGV) segment of the robot market is also expected to grow as a result of COVID-19. Markets and Markets predicts the AGV market will grow from $2 billion in 2019 to $2.9 billion by 2024.

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Where the Pandemic Is Impacting Automation - Automation World

Covid-19 has forced business leaders to accept that automation will arrive earlier than expected. It is therefore timely, albeit in less-than-positive circumstances, to look at which type of companies will, and will not, thrive in the future.

Many articles about Artificial Intelligence (AI) have sensationalized the effect of automation as the grim reaper of jobs. However, it will not be jobs that will be automated, but rather tasks within those jobs - in fact any tasks that can be put into a process. The success of companies in the future will depend upon their willingness to find those tasks that can be automated. Therefore, companies will soon be defined by their level of automation combined with self-management, and will fall into one of four categories:

Resistant organizations

A dying breed will be those companies that are resisting change and still prefer a command and control hierarchy. Particularly prevalent within larger organizations that have not split into smaller workgroups of less than 200 people, work within these resistant types of organizations will be bureaucratic and levels of employee satisfaction will be low. Without change, these organizations will eventually fail, as good employees will find a more engaging environment where individual growth is encouraged and where employees take pride in their companys product.

Hard to automate organizations

Not all tasks will be automated in the future. Therefore, the second category of companies are those where much of the work done by employees may be singular or repetitive but difficult to automate. These companies can be split into two; those companies that require very specialized skills creating one-off products (encompassing creative tasks), and those companies undertaking low-value tasks where the cost of automation is higher than the cost of human labor. This is generally due to the complexity of the task and the related cost of robotics required to automate a process. An example which has been resolved technically, but is still robotically expensive is the picking of fruit and vegetables. This back-breaking work is still left to low cost, mostly immigrant workers today, although the lack of immigrant workers due to the Covid-19 crisis may force farmers to accelerate their use of robotics.

Employee-first organizations

The third type, and the majority, of companies will be those where employees are put first and profit follows. A number of these companies exist today including my own company Pod Group. Pod Groups ethos is based on the attributes Wisdom, Emotional Intelligence, Initiative, Responsibility and [self] Development (W.E.I.R.D), so that each employee is motivated to achieve their own goals and by extension motivated to work towards the companys goals. Employees will understand the need to constantly try and improve existing products and business processes by automating what they can, so that they can avoid dull, routine tasks and find more satisfaction in their work. These companies will encourage employees to find tasks to automate so that they can use the time saved to concentrate on higher-value thinking tasks. Ultimately, these companies will succeed as employees will feel empowered to constantly improve themselves and the companies they work for.

Disruptive organizations

Over the last thirty years technological change has accelerated. Much of this change is due to improved processing capacity which has indirectly led to new business models. For example, the creation of ubiquitous ride-sharing services was possible due to GPS chips becoming cheap enough to add into every mobile phone, allowing every mobile phone owner to provide their location. Even the fundamentals of AI havent changed since its early years. However, by 2030, two new technologies that are pushing the boundaries of science in ways we have not explored before will start to have an impact on the world - quantum computing and synthetic biology. The fourth group of companies will be those that are pushing the boundaries of science. More than any other group, these companies will need to allow employee freedom in order to encourage initiative and innovative thinking. It is striking that WL Gore, which is one of the worlds largest material science companies is also one of the most successful self-managed companies.

Due to AI and automation, many aspects of our lives in the future will be less challenging and require less mental energy. It is therefore even more important that CEOs and business leaders create challenging work environments that encourage initiative and responsibility, rather than one of mental idleness.

To do this CEOs need to create an environment that encourages self-management. Ironically, enforced remote working has provided a pilot study for mass self-management. A deeply demotivating action by CEOs and managers would be to ignore those employees who have embraced working at home and want to work differently than before. Instead, CEOs should emulate some of the most successful self-managed billion-dollar revenue companies such as WL Gore, Semco, Buffer or Wholefoods and build on this new normal to create successful companies that will still be here in the future.

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The 4 Types Of Future Companies As A Result Of Automation & AI - Forbes

For many, their reconciliation software has become part of the office furniture sat in the corner, not upgraded or even reviewed in years. But there is a growing shift toward updating or introducing new reconciliation solutions that are service-based, standard-driven and highly focused on automation, according to Richard Chapman, vice president, strategy and business development, Data and Process Solutions, FIS.

Sadly, however, a large part of the market has yet to make the move. A 2019 report by Aite Group found that 53 percent of firms are working with technology that is five years old or older. Indeed, many reconciliation and data management systems across financial institutions are running on code from the 1990s, when the first wave of reconciliation software appeared in the market.

I think there are hurdles in the way of updating or implementing new services, but theres lots of different ways to overcome them, says Chapman, who believes education is important in facilitating firms moves toward new and improved technology. He highlights three main changes as easing the pain of a reconciliation solution refresh: the move toward increased risk assumption by vendors, the creation of best practice templates for rapid deployment, and the increased utilization of artificial intelligence (AI) to improve automation.

The market for reconciliation software is also undergoing a shift from on-premise deployment and traditional hosting to fully managed or even outsourced reconciliation services, says Chapman.

The consumption model is all moving toward service. People dont want tech, they dont want to have to resource it, they dont want to have to manage the infrastructure or upgrades, maintain the configuration or think about how the results are generated. In the old days, the typical service approach was hosting, but firms are looking for vendors to assume a greater proportion of risk so they can focus on core competitive advantages. The more risk a service provider is prepared to take on, the more attractive it becomes. The broader the depth of service, the higher the value and simpler the resulting operating model, he says.

Another key driver behind the change is cost-efficiency. People are extremely concerned about cash flow, so capital-intensive projects and capital-intensive spend is not on the agenda right now. They're trying to find ways to avoid that spend, so a service-orientated consumption model that doesn't have lumpy capital expenditure is extremely attractive.

Coronavirus has also shined a light on the importance of strong business continuity planning, expediting the move to fully managed or outsourced services that was already in flight. While firms will likely cut discretionary technology spend in several areas, Chapman explains that automating manual reconciliation processes or converting legacy reconciliation software to monthly service models achieves the perfect combination of immediate return on investment, resilient operating models, and scalable and transparent processes. Firms will likely spend in this arena simply to ensure business continuity and create operational agility.

Were seeing customers coming to us thinking they need to start taking the concept of managed reconciliation services seriously, he says. Theres already been a huge focus on budget reallocation toward business continuity planning and its just the tip of the iceberg.

Best practice

Another trend in reconciliation software consumption is the desire for best practice solutions, with bespoke self-configured software falling out of favour.

The markets moved on. Reconciliation is a necessary part of many operational processes, including regulatory reporting and financial reporting. Firms dont want to do it differently, they want to start by implementing something that is the same as their peers, says Chapman. Firms can then customize their solutions if they wish, though FIS has noticed that theyre increasingly finding customization unnecessary.

Self-service reconciliations are still available and in many cases are initially attractive, but Chapman says firms tend to move away from assuming that risk, preferring that FIS manage each step of the process.

Again, its about removing risk and cost. For those that still want to carry some element of the deployment within their own teams, a combination of packaged deployment and self-service configuration is a way to lighten that implementation hurdle, he says.

Embracing automation

As AI and machine learning become more widely accepted within financial services, more firms will embrace automation in their reconciliation systems to remove the need for manual work.

My observation is people rarely care how reconciliations are built any more. They care about results and ease of use, says Chapman.

Theres much greater acceptance of AI in the financial world then even five years ago. What were seeing from our customers is that theres real interest in how much you can automate, how you can guarantee that level of automation, and what additional manual tasks you can remove.

FIS reconciliations utilize an inspectable ruleset for standard matching of records but augments this with the Virtual Reconciler, which is a machine learning engine. The Virtual Reconciler uses this AI engine to identify trends and insights based upon manually matched items. Using these manual matches as a training set, it will predict records that users would have matched manually and then matches them on their behalf. This predicative matching approach means that rules continuously evolve and protect organizations from natural degradation.

If you consistently accept what the virtual reconciliation produces, it will generate an inspectable rule or an inspectable ruleset to achieve the same result, so that it can be reviewed from an audit and compliance perspective. So there's still a balance between inspectable and AI you can't have a black box that just makes decisions without some ability to justify or explain actions.

Time crunch

For many firms that are seeking AI solutions to enhance their reconciliations, there are challenges around upgrading their on-premise technology to include newer capabilities, or in needing alternative service and technology if their existing software does not measure up. According to Chapman, 25 percent of FIS customers upgrade their software every two years or less.

The challenge, even for our top customers, is getting into the mindset of continuous delivery. Perhaps because of historic experiences, theres a feeling that a huge amount of testing needs to happen every time you update a system. Technology has moved on now to make it so much more seamless to deploy new features and capabilities as an overlay to the existing capabilities. This is another contributing factor in the move to fully managed reconciliation services that require no maintenance by the client, and we provide service level agreements guaranteeing the availability of the reconciliation results themselves, not just the application, he says.

70 percent of FIS 2019 new name clients signed up for their fully managed reconciliation service, which includes updates to the latest features every six months.

Its clear that reconciliation software, and the services that vendors offer around it, have come on leaps and bounds. But, as coronavirus highlights the need for operational agility and resilience, the question is how long it will take the industry to make the jump?

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Automation reconciliation services are coming on leaps and bounds - Bobsguide

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In the wake of the COVID-19 lockdown, many organizations are looking to technology to find a solution to the problems of remote working and even diminished staff numbers as the economic fallout from the crisis kicks-in. Automation, or Robotic Process Automation (RPA), though, is not something that can be simply plugged into existing systems with the expectation that it will behave the way organizations need it to behave.

There are many things to consider before automating processes especially in situations where operations need to change and adapt to market conditions quickly. So, what do companies need to think about before investing?

Nick Deck is platform director at Chicago-based Catalytic, an AI automation company. He believes that the first thing that companies need to look at is organizational structure even though it is one of the most overlooked factors when exploring an automation strategy. It is important, he said, to understand what elements may hinder or support execution as the company progresses along the automation journey. Identifying these factors up front will ensure that organizations will not find themselves unable to scale in the coming years.

Recent research from Catalytic,The Real State of Automation Progress,shows that in the fact of this challenge, 78% of organizations are taking a centralized approach to automation in which the purchasing and implementation is owned by a single team usually IT or the C-suite while only 22% distribute this responsibility across multiple departments and teams.

Interestingly, those that chose a distributed approach said employees were 10% more likely to believe their automations were more successful and scalable compared to industry peers. Choosing to distribute responsibility across the entire organization gives employees a personal stake and greater influence in the success of your automation journey. Even more, it prevents one department from being bogged down with every aspect of planning, implementation and execution which can create bottlenecks that severely stunt your progress.

Without company-wide buy-in, IT leaders risk creating impractical solutions and sabotaging strategy before it even gets off the ground wasting resources, diminishing employee trust and hurting future initiatives in the process.

Conversely, companies that allow employees to provide input about what they need from the new technology, experience significantly higher success rates. It is also important to identify what kind of tasks your organization is going to automate.

Chris Ellis, manager of technical evangelism at Bellvue, Wash.-based Nintex told us that repetitive tasks, like the processing of invoices, are well-suited to automation and can be a quick win for organizations. On the other hand, processes that involve multiple moving parts in a system, application or data source will require the bot to continuously learn changes, so that is not a good place to start. There are two principal considerations:

Organizations should have a firm grasp on the pain points they plan to resolve with RPA. Too many businesses feel pressure to invest in RPA because their counterparts are doing so, rather than being clear on the problem they plan to address.

It is also important to be aware of the time investment that will be required from creating bots, to training them to manage exceptions like changes related to errors and sanitizing data. RPA is no different from any software project when it comes to the beginnings of a rollout of implementation, he said. Proving the value of the project can be achieved by a smaller, staged approach or land and expand. Develop a proof of concept for a focus group or particular line of business or function.

Clearly, though, the resources available to the organizations in question is a key issue and will dictate how the company approaches RPA. A fundamental difference between mid-market and enterprise companies is the amount of resources, both human and capital, available at their disposal, Wilmington, Del.-based AdPushup CEO and founder Ankit Oberoi, told us.

When enterprise companies go shopping for automation solutions to reduce cost, improve efficiency, or grow revenue, often, they have already invested in building at least some in-house capabilities to address that problem, he said. This is why cookie-cutter solutions don't work for the enterprise. Large organizations require flexibility in choosing the solutions, ad-hoc engineering support, and dedicated customer service, which together fill the gap between their internal capabilities and business objectives, he said.

Whatever the use case, when looking for automation solutions for enterprise companies, he believes there are three main factors they need to consider:

In years past, automating to add scale to or lower costs on a process or specific area was a solid justification for investment. Now, more leaders are starting to look at it differently and questioning whether they are too focused on cost savings, Kyle McNabb, SVP of product marketing at Naples, Fla.-based ASG Technologies, told us. I think we're starting to see more of a shift in the driver for automation to be not only to reduce costs, but also to improve employee experiences, help the organization be more responsive to constant change and support greater business continuity, he said.

If the reasoning for implementing automation is just to remove costs, adoption is going to be negatively impacted and an organization's brand could be negatively impacted, too. With new research from MIT and others coming out showing how automation can contribute to displacement and inequality, leaders need to ask why they are automating and have an answer that's more than just to remove costs for the firm, he added.

Automating the hard, time-consuming work of people and processes is easier now with more mature technologies. There's more capability today to help automate time-consuming and difficult, but repetitive tasks. Improvements in accuracy and reliability make it easier for leaders to justify applying automation technology to these more difficult areas. More thought needs to go into what to automate and how to break it into different pieces to ensure organizations make progress and see the impact automation may have on the overall ecosystem of systems and processes, he said.There's too much evidence of failures where companies throw automation at a problem but haven't quite thought through what they're automating completely.

There are four steps that enterprise leaders need to take to ensure successful automation of processes, Chris Huff, Irvine, Calif.-based Kofax's chief strategy officer, added. Those steps include:

First, determine candidate business operations and processes fit for RPA using a proven list of criteria. This list includes diagnostic questions such as:

The second step is to take those business operations and processes fit for RPA and determine their complexity. This helps determine how long it will take to design, develop, test and deploy RPA. It also determines the need for complementary automation solutions such as cognitive capture to ingest unstructured data and process orchestration to create automated workflows and case management.

The third step is to build an enterprise business case to determine ROI. In this step, Huff says he has seen success by using a four-pillar approach to create a holistic business case consisting of strategic alignment to the larger enterprise strategy, workforce impact, operational metric impact and financial profile/impact.

The last step is to build a sustainment model for the RPA program. Most call this a Center of Excellence or a Digital Management Office. Normally this consists of six competencies to include Strategy & Governance, Tools & Training, Operations, Innovation, Change Management and Performance

According tot he experts, following this four-step process allows a scaled program to be built with a high degree of expected success to achieve long-term strategic value.

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Looking to Automate Your Workplace? Here Are Some Things to Consider First - CMSWire