Category Archives: Automation

IT leaders say the challenges of the job keep growing. Theyre faced with more demands to provide service anywhere and on any device. Plus, everyone wants it delivered faster.

Its not easy to deal with all of the competing interests, said a CIO from the finance sector at a CanadianCIO virtual roundtable.

One way to help manage the situation is to introduce automation to replace mundane tasks and to set policy parameters within systems, said Kurt Roemer, Chief Security Strategist at Citrix Systems.

Organizations must determine their priorities, Roemer said. IT has to look at how the organization can be more agile, while being secure. Ultimately, its about supporting digital transformation for business.

If it isnt cloud, its security

Cloud migration and security enhancements go hand-in-hand on digital transformation projects. Many organizations start with elements of Zero Trust such as micro-segmentation to cut down on lateral movement, said Roemer.

Zero Trust is easy to read about, but implementing it is not so obvious, said one IT leader. However, his organization is making best efforts to apply Zero Trust as it moves workloads to the cloud.

Dealing with legacy systems is also an ongoing issue. Several of the CIOs noted that moving legacy systems to the cloud is not a lift and shift. You dont want to replicate customized processes in the cloud, said one IT leader. In most cases, these systems have to be redesigned and business processes have to change. That can present another challenge for the IT team because, as the IT leaders put it, convincing some business departments to change can be a long process.

Cost approvals and cost controls for the cloud transition can be another obstacle. The move from capital to operating expenses can be difficult because capital expenses are more clearly defined. Some IT leaders also expressed concern about cloud costs getting out of control. If you open up cloud resources to everybody for unleashed consumption, that could be a problem, said one IT leader.

Another concern was that its simply not possible to move everything to the cloud because some data is too sensitive. As a result, IT must find ways to better coordinate on-premises and cloud infrastructure.

Ideas for automation

Theres a lot of technology to make managing hybrid clouds easier, said Roemer. This can help avoid duplication of data so that people can use it in different places. With automation of tasks and orchestration of workflows, organizations can build defined policy parameters into the system, he said. For example, it can be set to automatically stop a user that tries to put sensitive information on Dropbox.

Similarly, cloud costs can be controlled by automating the spinning down of cloud infrastructure when it isnt needed, said Roemer. You can also build in boundary conditions for the consumption of cloud resources.

The key to Zero Trust is to set access rules that are aware of the appropriate business context. As an example, different controls can be applied to only those who deal with highly sensitive data. This is one of the biggest opportunities to balance productivity and cost, said Roemer. If you do that, you can make things, not just incrementally, but wildly better.

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Got digital transformation headaches? Automation may be the answer - IT World Canada

DUBLIN, April 21, 2021 /PRNewswire/ -- The "Autonomous Ships Market by Level of Autonomy, Ship Type, Component and Fuel Type: Global Opportunity Analysis and Industry Forecast, 2020-2030" report has been added to ResearchAndMarkets.com's offering.

Autonomous ships are the self-driving vessels that operate on the surface of water without any crew present on the ship. They are piloted by means of artificial intelligence and can be unmanned vessels functioning as a type of seafaring drone. They are combined with advanced sensors which give a precise image of the surrounding to the artificial intelligence system of the ship making it to operate accordingly.

The component used in autonomous ships are supported by the services such as IoT, Artificial intelligence (AI) and others, which help to follow mission plans, adjust mission execution, and sense the environment with the necessary decision logic. Presently, there is a demand for smart and autonomous ships which can reduce the human involvement in the operation. One of the major factors that drive the autonomous ships market share is increase in seaborne trades across the globe.

The autonomous ships market is segmented based on the level of autonomy, component, ship type, fuel type, channel type, and region. On the basis of level of autonomy, the market is divided into semi-autonomous and fully autonomous ships. Depending on the ship type, the market is categorized into commercial ships, defense ships, and passenger ships. By fuel type, the market is classified into carbon neutral fuels, liquefied natural gas, electric batteries, and heavy fuel oils. And based on component, the market is divided into hardware and software. Region wise, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players analyzed in the Autonomous Ships Market include ABB, ASV Global, Honeywell International, Kongsberg Gruppen, Marine Technologies LLC, Mitsui O.S.K. Lines, Northrop Grumman, Rolls-Royce, Ulstein Group ASA, and Wartsila.

Key Benefits for Stakeholders

Key Topics Covered:

CHAPTER 1: INTRODUCTION1.1. Report description1.2. Key benefits for Stakeholders1.3. Key Market Segments1.4. Research methodology1.4.1. Primary research1.4.2. Secondary research1.4.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY2.1. CXO perspective

CHAPTER 3: MARKET OVERVIEW3.1. Market definition and scope3.2. Key findings3.2.1. Top impacting factors3.2.2. Top investment pockets3.2.3. Top winning strategies3.3. Porter's five forces analysis3.4. Key player positioning, 20203.5. Market dynamics3.5.1. Drivers3.5.1.1. Increase in demand for cargo transportation through marines3.5.1.2. Increase in operational safety of ships3.5.2. Restraints3.5.2.1. Risk of exploitation by hacking3.5.2.2. Complexity of the network3.5.3. Opportunities3.5.3.1. Anticipated trend of automation in marine transportation3.5.3.2. Increase in marine safety norms3.6. COVID-19 impact analysis

CHAPTER 4: GLOBAL AUTONOMOUS SHIPS MARKET, BY LEVEL OF AUTONOMY4.1. Overview4.2. Semi-autonomous4.2.1. Key market trends, growth factors and opportunities4.2.2. Market size and forecast, by region4.2.3. Market analysis by country4.3. Fully autonomous4.3.1. Key market trends, growth factors and opportunities4.3.2. Market size and forecast, by region4.3.3. Market analysis by country

CHAPTER 5: GLOBAL AUTONOMOUS SHIPS MARKET, BY COMPONENT5.1. Overview5.2. Hardware5.2.1. Key market trends, growth factors and opportunities5.2.2. Market size and forecast, by region5.2.3. Market analysis by country5.3. Software5.3.1. Key market trends, growth factors and opportunities5.3.2. Market size and forecast, by region5.3.3. Market analysis by country

CHAPTER 6: GLOBAL AUTONOMOUS SHIPS MARKET, BY SHIP TYPE6.1. Overview6.2. Commercial ships6.2.1. Key market trends, growth factors and opportunities6.2.2. Market size and forecast, by region6.2.3. Market analysis by country6.3. Defense ships6.3.1. Key market trends, growth factors and opportunities6.3.2. Market size and forecast, by region6.3.3. Market analysis by country6.4. Passenger ship6.4.1. Key market trends, growth factors and opportunities6.4.2. Market size and forecast, by region6.4.3. Market analysis by country

CHAPTER 7: GLOBAL AUTONOMOUS SHIPS MARKET, BY FUEL TYPE7.1. Overview7.2. Carbon neutral fuels7.2.1. Key market trends, growth factors and opportunities7.2.2. Market size and forecast, by region7.2.3. Market analysis, by country7.3. Liquefied natural gas7.3.1. Key market trends, growth factors and opportunities7.3.2. Market size and forecast, by region7.3.3. Market analysis, by country7.4. Electric batteries7.4.1. Key market trends, growth factors and opportunities7.4.2. Market size and forecast, by region7.4.3. Market analysis, by country7.5. Heavy fuel oils (HFO)7.5.1. Key market trends, growth factors and opportunities7.5.2. Market size and forecast, by region7.5.3. Market analysis, by country

CHAPTER 8: GLOBAL AUTONOMOUS SHIPS MARKET, BY REGION8.1. Overview8.2. North America8.3. Europe8.4. Asia-Pacific8.5. LAMEA

CHAPTER 9: COMPANY PROFILES9.1. ABB LTD.9.1.1. Company overview9.1.2. Company snapshot9.1.3. Operating business segments9.1.4. Product portfolio9.1.5. Business performance9.1.6. Key strategic moves and developments9.2. L3 ASV9.2.1. Company overview9.2.2. Company snapshot9.2.3. Operating business segments9.2.4. Product portfolio9.2.5. Business performance9.2.6. Key strategic moves and developments9.3. MITSUI O. S. K. LINES9.3.1. Company overview9.3.2. Company snapshot9.3.3. Operating business segments9.3.4. Product portfolio9.3.5. Business performance9.3.6. Key strategic moves and developments9.4. NORTHROP GRUMMAN9.4.1. Company overview9.4.2. Company snapshot9.4.3. Operating business segments9.4.4. Product portfolio9.4.5. Business performance9.4.6. Key strategic moves and developments9.5. HONEYWELL INTERNATIONAL9.5.1. Company overview9.5.2. Company snapshot9.5.3. Operating business segments9.5.4. Product portfolio9.5.5. Business performance9.5.6. Key strategic moves and developments9.6. ULSTEIN GROUP ASA9.6.1. Company overview9.6.2. Company snapshot9.6.3. Product portfolio9.6.4. Business performance9.7. WARTSILA.9.7.1. Company overview9.7.2. Company snapshot9.7.3. Operating business segments9.7.4. Product portfolio9.7.5. Business performance9.7.6. Key strategic moves and developments9.8. KONGSBERG GRUPPEN9.8.1. Company overview9.8.2. Company snapshot9.8.3. Product portfolio9.8.4. Business performance9.8.5. Key strategic moves and developments9.9. ROLLS ROYCE9.9.1. Company overview9.9.2. Company snapshot9.9.3. Operating business segments9.9.4. Product portfolio9.9.5. Business performance9.9.6. Key strategic moves and developments9.10. MARINE TECHNOLOGIES, LLC9.10.1. Company overview9.10.2. Company snapshot9.10.3. Operating business segments9.10.4. Product portfolio

CHAPTER 10: DEVICE PROVIDERS10.1. SEA MACHINES ROBOTICS, INC.10.1.1. Company overview10.1.2. Company snapshot10.1.3. Product portfolio10.1.4. Key strategic moves and developments10.2. NEPTEC TECHNOLOGIES CORP.10.2.1. Company overview10.2.2. Company snapshot10.2.3. Operating business segments10.2.4. Product portfolio10.3. INTEL CORPORATION10.3.1. Company overview10.3.2. Company snapshot10.3.3. Operating business segments10.3.4. Product portfolio10.3.5. Business performance10.3.6. Key strategic moves and developments10.4. GOOGLE (ALPHABET INC.)10.4.1. Company overview10.4.2. Company snapshot10.4.3. Operating business segments10.4.4. Product portfolio10.4.5. Business performance10.4.6. Key strategic moves and developments10.5. SHONE AUTOMATION INC.10.5.1. Company overview10.5.2. Company snapshot10.5.3. Product portfolio10.5.4. Key strategic moves and developments10.6. BUFFALO AUTOMATION10.6.1. Company overview10.6.2. Company snapshot10.6.3. Product portfolio10.6.4. Key strategic moves and developments

For more information about this report visit https://www.researchandmarkets.com/r/aaviq7

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Worldwide Autonomous Ships Industry to 2030 - Anticipated Trend of Automation in Marine Transportation Presents Opportunities - PRNewswire

Chinas Laiye Bags $50 Million in New Funding to Develop Robotic Automation Tech

Laiye, a Chinese developer of robotic process automation (RPA) systems, has pocketed $50 million in its series C+ funding round co-led by Ping An Global Voyager Fund and Shanghai Artificial Intelligence Industry Equity Investment Fund, reflecting a growing investor interest in a technology used to enhance productivity in workplaces.

Other investors included Lightspeed China Partners, Sequoia Capital China and Wu Capital, Laiye said in a WeChat post on Wednesday.

RPA systems are used to mimic tedious and repetitive workplace tasks like keyboard strokes and mouse clicks to help businesses reduce staffing costs and human errors. Use of RPA tools saw a boom during the Covid-19 pandemic, as a growing number of companies explored ways to automate their workflow.

The capital raised in the new round will be used for global expansion, talent recruitment, artificial intelligence technology development and the deployment of new mobile-based products, according to Laiye.

Beijing-based Laiye said that its revenue from RPA software service subscriptions skyrocketed 900% year-on-year in 2020, with the years final quarter seeing its enterprise-focused business achieve a positive cash flow while its chatbot business turned a profit during the quarter.

Established in 2015, Laiye offers smart robotic automation products, natural language processing, dialogue management and context-based recommendations to companies from various industries ranging from finance and manufacturing to telecoms and retail. In 2019, Laiye launched an RPA platform called UiBot which it claims can help enterprises improve operating and management efficiency as well as lower labor costs.

CEO Wang Guanchun said that Laiye aims to amass 1 million certified software robot developers by 2025, as the company expands its services globally. Currently, Laiye has a local team in Singapore consisting of experts who have worked for tech giants including Microsoft, IBM and Oracle.

Contact reporter Ding Yi (yiding@caixin.com)

Related: Chinese AI Firm Laiye Secures $42 Million in Series C Funding Round

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China's Laiye Bags $50 Million in New Funding to Develop Robotic Automation Tech - Caixin Global

According to a new research report titled Fog Computing for Industrial Automation Market Global Industry Perspective, Comprehensive Analysis And Forecast by 2021 2027

This has brought along several changes in This report also covers the impact of COVID-19 on the global market.

The report provides revenue forecasts for global, regional and country levels. It also provides comprehensive coverage on major industry drivers, restraints, and their impact on market growth during the forecast period. For the purpose of research, The Report has segmented global Fog Computing for Industrial Automation market on the basis of types, technology and region

Get a Sample PDF copy of Fog Computing for Industrial Automation Market @ https://www.reportsinsights.com/sample/356163

Key Competitors of the Global Fog Computing for Industrial Automation Market are:Hitachi, Microsoft Corporation, Nebbiolo, Cisco Systems, IBM, Intel, Macchina, VIMOC, Adlink (PrismTech), RTI, Crosser Technologies, AppFog, SONM, Viatech

The Global Fog Computing for Industrial Automation Market Research Report is a comprehensive and informative study on the current state of the Global Fog Computing for Industrial Automation Market industry with emphasis on the global industry. The report presents key statistics on the market status of the global Fog Computing for Industrial Automation market manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry.

Major Product Types covered are:

HardwareSoftware

Major Applications of Fog Computing for Industrial Automation covered are:

Transportation & LogisticsSmart GridNetwork SensorsOthers

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Regional Fog Computing for Industrial Automation Market (Regional Output, Demand & Forecast by Countries):-North America (United States, Canada, Mexico)South America ( Brazil, Argentina, Ecuador, Chile)Asia Pacific (China, Japan, India, Korea)Europe (Germany, UK, France, Italy)Middle East Africa (Egypt, Turkey, Saudi Arabia, Iran) And More.

The research report studies the past, present, and future performance of the global market. The report further analyzes the present competitive scenario, prevalent business models, and the likely advancements in offerings by significant players in the coming years.

Key Questions answered by the Report

Access full Report Description, TOC, Table of Figure, Chart, etc. @ https://www.reportsinsights.com/industry-forecast/Fog-Computing-for-Industrial-Automation-Market-356163

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Fog Computing for Industrial Automation Market Research Report by Type, by Application, by End User Global Forecast to 2027 Cumulative Impact of...

Tuskegee University is one of seven HBCUs partnering with UiPath to offer new training in business ... [+] automation. (Photo by Carol M. Highsmith/Buyenlarge/Getty Images)

Seven Historically Black Colleges and Universities (HBCUs) are partnering with UiPath, theenterprise automationsoftware company, to train students in Robotic Process Automation (RPA).The partnership was announced today in a press release from the company. Its the latest extension of UiPathsAcademic Alliance, in which colleges and universities collaborate with the company to offer curricula, software and certification so students can be better prepared for careers in automation and other digital settings.

In simple terms, RPA is an emerging technology that allows businesses to streamline routine processes and thereby reduce their costs. With RPA, tedious, rule-governed business processes are automated by configuring software robots to run applications that direct transactions, trigger replies and other messages, and communicate with other digital systems.

An example of a basic function is sending automated responses to an email. At a more complex level, RPA can initiate and track other business activities that typically require several FTE employees. Its an ideal technology for conducting high-volume processes at a rapid speed, thereby saving businesses time and money and freeing up employees for tasks requiring more judgment and finesse. RPA is a step short of the kinds of applications possible with machine learning or artificial intelligence tools, but the range of tasks it can perform - from sending invoices and sales orders to completing payrolls and entering data into enterprise resource planning systems - is growing increasingly complex.

The new partnership includes the following HBCUs:

A recent UiPath survey showed that nearly half of office workers worldwide worry they will be out of a job within five years because their skills will become outdated. As a result, 91% believed their employers should be more willing to invest in digital and technology skills training for their employees.

College students, particularly those intending to take jobs in business, are also keenly aware of the need for these skills and increasingly see them as a highly desirable supplement to their regular college major.

Im thrilled to start my RPA journey through Texas Southern Universitys curriculum with UiPath. I know that the enterprise of the future is fully automated, and that RPA technology is at the core of this new way of working. Im excited to gain the skills I need to drive a future of work that unleashes workers from the repetitive, time-intensive work, said Aliza Durvesh, a teaching assistant at Texas Southern University.

At Jackson State University, Tuskegee University, and Texas Southern University, RPA instruction is already being offered. Jackson State Universitys RPA curriculum is part of itsIndustrial Systems and Technology course of study, while Texas Southern University and Tuskegee University are teaching RPAto students in its management,accounting, and information science programs.

Dr. Jack Crumbly, Management Department Chair in the Andrew F. Brimmer College of Business and Information Science at Tuskegee University, sees the value of the new skills being incorporated into the college curriculum. As a professor, its my job to make sure my students are prepared to enter the workforce with the skills they need to succeed. A UiPath survey found that 70% of senior executives want even non-technical employees to have automation skillsa sign that its of utmost importance for universities like Tuskegee University to provide our students with RPA training programs, especially among business, accounting and IT applications. UiPaths commitment to diversifying the tech community is admirable and were proud to partner with them on this curriculum.

According to the release, the sevenHBCUs that have recently partnered with UiPath are among more than 750 universities and colleges in UiPaths Academic Alliance, which gives faculty at the partnering schools access to the free automation curriculum. Industry research shows increasing demand for professionals who have such skills. For example,Robotics Engineer is among the fastest emerging jobs globally, withLinkedInreporting a 40% compound annual growth rate in job postings from 2015 to 2019.

We believe its imperative that workforces have the training and skills to use automation technologies and identify opportunities for innovative applications, said UiPath Vice President Tom Clancy, in the release. We strongly believe that this education should be extended to all people. Fostering diversity in the tech industry, unlocks opportunities for fresh perspectives, ideas, and opportunities for innovation.

Read more from the original source:

Seven HBCUs Partner With UiPath To Offer New Automation Curriculum - Forbes

Software engineering and IT operations teams are facing increased complexity in meeting customer and employee demands, as well as remote and hybrid work policies ushered in by COVID-19.

The key to dealing with this is increased process automation in IT operations (ITOps) according to a new report from DevOps process orchestration company Transposit.

Among the findings are that 94 percent of respondents increased focus on site reliability engineering (SRE) practices in their organization in the past 12 months, while 42 percent plan to expand their SRE efforts this year. 86 percent of organizations are planning to hire site reliability engineers in the next 12 months.

"Our study aligns with what we've been hearing from customers. Organizations have many manual DevOps processes that cause unnecessary toil. And, they are investing too many of their resources -- including talent -- on building custom in-house tools to automate an incident response process that pulls together all the parts of their software stack," says Tina Huang, CTO and founder of Transposit. "Those resources could be put to better use by investing in initiatives that drive companies forward, such as product innovation or customer service, especially during a time of economic uncertainty and, for some industries, instability."

Although the majority of organizations have incorporated remote and hybrid work policies and have increased digital transformation initiatives since the start of the pandemic, organizations have also been hampered by longer incident resolution, inefficient processes, and lack of automation.

None out of 10 organizations surveyed have experienced an increase in service incidents that have affected their customers since the start of the pandemic, with nearly 60 percent of respondents observing at least a 20 percent increase in service incidents or more. 93 percent say that incidents are taking longer to resolve while working remotely with over half reporting that incidents took between 11-30 percent longer to resolve than average. In addition nearly 70 percent have seen an increase in the cost of downtime since the pandemic started.

But despite enthusiasm for automation nearly half of respondents report that their engineering operations are only between 26 and 50 percent automated. The top barriers to automation are cited as; inadequate documentation of institutional knowledge and existing processes (51.9 percent), lack of clarity about what to automate (47.3 percent) and not enough sharing of knowledge (43.8 percent).

The full report is available from the Transposit site and there's an infographic summary of the findings below.

Photo Credit: Wright Studio/Shutterstock

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More process automation needed to support digital transformation - BetaNews

Dublin, April 06, 2021 (GLOBE NEWSWIRE) -- The "Robotic Process Automation Market - Forecasts from 2021 to 2026" report has been added to ResearchAndMarkets.com's offering.

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

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

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

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

The global robotic process automation market can be segmented on the basis of type, enterprise size, service, application, deployment and geography:

Story continues

By type, the market can be segmented into software and service.

By enterprise size, the market can be segmented into large enterprises and small and medium enterprises (SMEs).

By service, the market can be segmented into consulting, implementing and training.

By application, the market can be segmented into BFSI, pharma & healthcare, retail & consumer goods, information technology (IT) & telecom, communication and media & education, manufacturing, logistics, and energy & utilities and others.

By deployment, the market can be segmented into cloud and on - premise.

By geography, the market can be segmented into North America, South America, Europe, Middle East and Africa and Asia - Pacific.

Growth Factors

Saves time and costs

By automating repetitive rule based tasks, organisations can save on time and costs as they no longer need employees to do them. Also with a bot capable of performing these tasks at a faster rate as compared to humans, more work can be done in less time

Improves job satisfaction

With repetitive tasks being done by robots; employees can now focus on tasks which actually require human intelligence. Thus, employees are forced to think using their intelligence rather than just doing menial repetitive work which improves their job satisfaction

Reduction in Errors

With bots performing repetitive tasks, the chances of errors diminish. When a human performs a large number of operations, there tends to be some discrepancies which may lead to huge problems if not paid proper attention to. Therefore, industries like healthcare and financial institutions which require correct data without even a single error will adopt RPA which will act as a key driver for its market growth

Restraints

Human Capital Conundrum

With RPA implementation, a huge chunk of the population will become redundant leading to widespread unemployment. To prevent a situation like this, the decision makers in any organisation will be presented with the human capital conundrum referring to how they will manage their workforce who will go redundant, once RPA is implemented in the organisation

Return on Investment and Scalability

The return on investment after RPA implementation will be a concern to the executives in an organisation as according to a recent Deloitte UK study"Only three percent of organizations have managed to scale RPA to a level of 50 or more robots." Thus, with scalability a problem, whether the costs of implementing robotic process automation in an organisation will be covered or not, should be determined prior to making investment in the above mentioned

Impact of COVID-19

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

Key Topics Covered:

1. Introduction1.1. Market Definition1.2. Market Segmentation

2. Research Methodology2.1. Research Data2.2. Assumptions

3. Executive Summary3.1. Research Highlights

4. Market Dynamics4.1. Market Drivers4.2. Market Restraints4.3. Porters Five Forces Analysis4.3.1. Bargaining Power of Suppliers4.3.2. Bargaining Power of Buyers4.3.3. The threat of New Entrants4.3.4. Threat of Substitutes4.3.5. Competitive Rivalry in the Industry4.4. Industry Value Chain Analysis

5. Global Robotic Process Automation Market Analysis, By Type5.1. Introduction5.2. Software5.3. Service

6. Global Robotic Process Automation Market Analysis, By Enterprise Size6.1. Introduction6.2. Large enterprises6.3. Small and Medium Enterprises (SMEs).

7. Global Robotic Process Automation Market Analysis, By Application7.1. Introduction7.2. BFSI7.3. Pharma & Healthcare7.4. Retail & Consumer Goods7.5. Information Technology (IT) & Telecom7.6. Communication and Media & Education7.7. Manufacturing7.8. Logistics, and Energy & Utilities7.9. Others

8. Global Robotic Process Automation Market Analysis, By Deployment8.1. Introduction8.2. Cloud8.3. On - Premise

9. Global Robotic Process Automation Market Analysis, by Geography9.1. Introduction9.2. North America9.2.1. North America Robotic Process Automation Market Analysis, By Type9.2.2. North America Robotic Process Automation Market Analysis, By Enterprise Size9.2.3. North America Robotic Process Automation Market Analysis, By Application9.2.4. North America Robotic Process Automation Market Analysis, By Deployment9.2.5. By Country9.2.5.1. United States9.2.5.2. Canada9.2.5.3. Mexico9.3. South America9.3.1. South America Robotic Process Automation Market Analysis, By Type9.3.2. South America Robotic Process Automation Market Analysis, By Enterprise Size9.3.3. South America Robotic Process Automation Market Analysis, By Application9.3.4. South America Robotic Process Automation Market Analysis, By Deployment9.3.5. By Country9.3.5.1. Brazil9.3.5.2. Argentina9.3.5.3. Others9.4. Europe9.4.1. Europe Robotic Process Automation Market Analysis, By Type9.4.2. Europe Robotic Process Automation Market Analysis, By Enterprise Size9.4.3. Europe Robotic Process Automation Market Analysis, By Application9.4.4. Europe Robotic Process Automation Market Analysis, By Deployment9.4.5. By Country9.4.5.1. Germany9.4.5.2. United Kingdom9.4.5.3. France9.4.5.4. Others9.5. The Middle East and Africa9.5.1. Middle East and Africa Robotic Process Automation Market Analysis, By Type9.5.2. Middle East and Africa Robotic Process Automation Market Analysis, By Enterprise Size9.5.3. Middle East and Africa Robotic Process Automation Market Analysis, By Application9.5.4. Middle East and Africa Robotic Process Automation Market Analysis, By Deployment9.5.5. By Country9.5.5.1. Saudi Arabia9.5.5.2. UAE9.5.5.3. Others9.6. Asia Pacific9.6.1. Asia Pacific Robotic Process Automation Market Analysis, By Type9.6.2. Asia Pacific Robotic Process Automation Market Analysis, By Enterprise Size9.6.3. Asia Pacific Robotic Process Automation Market Analysis, By Application9.6.4. Asia Pacific Robotic Process Automation Market Analysis, By Deployment9.6.5. By Country9.6.5.1. China9.6.5.2. Japan9.6.5.3. India9.6.5.4. Others

10. Competitive Environment and Analysis10.1. Major Players and Strategy Analysis10.2. Emerging Players and Market Lucrativeness10.3. Mergers, Acquisitions, Agreements, and Collaborations10.4. Vendor Competitiveness Matrix

11. Company Profiles11.1. UiPath11.2. Automation Anywhere Inc.11.3. NICE11.4. Blue Prism11.5. Pegasystems11.6. KOFAX INC.11.7. NTT Advanced Technology Corporation11.8. EdgeVerve Systems Limited11.9. FPT Software11.10. OnviSource, Inc.

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The Global Robotic Process Automation Market is Expected to Grow at a CAGR of 31.5% Between 2020 and 2026 - Yahoo Finance

SAN DIEGO, April 6, 2021 /PRNewswire/ --The retail industry is looking to adopt new robotic technology faster than expected due to the COVID-19 pandemic, with widespread adoption now expected in just a few years, according to a new survey conducted by RetailWire and Brain Corp, an artificial intelligence (AI) company creating transformative core technology in robotics.

The results of the survey, conducted last month, underscore the growing significance of robotic automation technology in the post-pandemic marketplace. These technologies are seen as key for assisting workers with a variety of tasks, from floor cleaning to shelf scanning, both in stores and in warehouses. The full survey results are included in a free executive summary, "Robots in Retail: Examining the Autonomous Opportunity."

Cleanliness became a major priority for retailers and grocers during the pandemic as stores rushed to meet heightened consumer expectations. The survey shows that these increased cleanliness standards are the new normal: the vast majority (72%) of respondents say they do not anticipate much change in consumer expectations toward in-store cleanliness even after vaccines are broadly distributed.

The survey also shows that retailers are looking to use robotic solutions for in-store functions like automating tasks and collecting environmental data for improving customer experiences. This includes robotic applications for scanning shelves for stockouts (59%), order picking (47%), delivering goods from the back warehouse to store shelves (35%), pricing accuracy checks (35%), and more.

"The global pandemic brought the value of robotic automation sharply into focus for many retailers, and we now see them accelerating their deployment timelines to reap the advantages now and into the future," said Josh Baylin, Senior Director of Strategy at Brain Corp. "Autonomous robots are versatile productivity partners that help keep stores clean, generate additional hours for employees, and help improve in-store customer experiences."

The survey findings are consistent with the growth that Brain Corp saw in 2020 for robotic deployments with its OEM partners. The company achieved an increase of over 300% in robotic deployments last year, many in retail stores, while generating an estimated 3.3 million hours in productivity for end customers.

While robotic technology in retail has slowly been gaining steam over the years, RetailWire said it found the new accelerated adoption trends expressed in the survey "stunning" and "surprisingly large."

"These are not the kinds of numbers indicative of an emerging technology in an early phase of deployment in retail, but of a technology just a few short years from widespread adoption," according to the report. "In fact, as robotic technology gains a foothold in-store operations, broader benefits are likely to fuel future growth, such as the ability to capture granular, real-time data about products on shelves and customer buying patterns, monitor pricing and planogram compliance and keep tabs on out-of-stocks. Armed with this kind of data, retailers will be able to discover actionable insights, make smarter decisions and increase store productivity."

The survey queried 136 respondents in the retail industry, including retailers and wholesalers, retail consultants, tech solution providers, and brand marketers and manufacturers. For further information, download the free executive summary, "Robotsin Retail: Examining the Autonomous Opportunity" or go to http://www.braincorp.com.

About Brain Corp Brain Corp is an AI software leader that powers the world's largest fleet of autonomous mobile robots operating in commercial indoor public spaces. The BrainOS platform and its cloud-connected autonomy service are used by global manufacturing partners to successfully build, deploy, and support commercial robots at scale across industries and applications. Through intuitive software and controls, BrainOS also enables end customers to easily leverage the power of robotics to offload repetitive, labor-intensive tasks related to floor care, in-store inventory delivery, and shelf-scanning, freeing employees' time to focus on higher-value responsibilities. Working with its partners, Brain Corp has deployed over 14,500 robots within retail, grocery, malls, airports, hospitals, warehouses, and other industries. For more information, please visit http://www.braincorp.com.

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SOURCE Brain Corp

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Survey: Retailers fast-tracking robotic automation technologies in the wake of COVID-19 - PRNewswire

According to 2021 Cybersecurity: Assess Your Risk, a new report from PMMI Business Intelligence, Information Technology (IT) attacks specifically target the enterprise IT systems at a manufacturer, seeking to gain entry through vectors such as email, a CRM system, or an ERP program, which can span across an operation.

Operational Technology (OT) attacks are designed to exploit the systems that are directly on the plant floor. An OT attack can originate through vectors such as individual sensors on the production line, SCADA/HMI panels, or even unsecured PLCs. Said one CEO of a software security partner, There have also been malware attacks on motion and vision systems on the plant floor, therefore it is imperative that manufacturers know their updates are only coming from trusted suppliers.

While the IT and OT networks in an organization are distinct and separate entities, they can be connected to some extent, causing vulnerabilities to both ends of the operation. An example would be having access to an ERP system directly on the plant floor.

More on OT: Safeguarding Robots and Components

Vulnerabilities have been detected in both robotics and smart components on individual machines, and those that are connected to the enterprise network, or even directly to the internet, are vulnerable. Robotics can be programmed with malicious code to disrupt production and potentially damage the surrounding environment, while components like PLCs can be accessed to gain real-time visual surveillance of an operation.

How cognizant are manufacturers to OT cyberattack risk? In a recent survey, 53% of responding manufacturers stated that their OT operations were vulnerable to potential tampering, and the same number revealed that they had a breach occur in OT operations within the last 12-24 months. Despite these facts, 81% of operations that security firm Dragos worked with in 2019 had extremely limited (or even no) visibility into their industrial control system (ICS)/OT networks, meaning they could not be monitored or analyzed for potential breaches. The report states that to properly address cybersecurity concerns and thoroughly harness emerging technology, manufacturers will first need to understand their operations, particularly those areas that are vulnerable to cyberattack.

Beyond understanding operations, people are also key to preventing attacks. Said one Managing Director at a cyber partner, Manufacturers are receiving constant attacks of malware and ransomware and proper firewalls are a must, but most important is employee training: all people in your business are stakeholders in prevention. And another automation engineer of a household products manufacturer said, The greatest risks are the people inside the company lacking the experience and understanding on how to safeguard our intellectual property.

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Source: PMMI Business Intelligence, 2021 Cybersecurity: Assess Your Risk

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Cybersecurity 101: The Difference Between IT and OT Attacks - Automation World

DALLAS, April 06, 2021 (GLOBE NEWSWIRE) -- Worksoft, the industrys leading provider of end-to-end enterprise automation for complex custom and packaged applications like SAP, Oracle, Salesforce, Workday and more, today announced the expansion of its Connective Automation Platform to include unmatched AI-driven analytics capabilities, becoming the first vendor to offer a genuinely codeless, scalable automation solution that seamlessly connects process intelligence, business process testing and production automation to drive comprehensive process insight and continuous process improvement.

Process Intelligence provides a unified view of end-to-end business processes with actionable insights, delivering unprecedented enterprise process visibility and maximizing process efficiency by eliminating business and IT silos. Combining multiple data sourcesincluding process mining, business process captures, test automation results, production performance, and moreProcess Intelligence generates a real-time roadmap for automation and process optimization.

This new level of Process Intelligence is a catalyst for CFOs and CIOs looking to unlock the full potential of their automation investment, providing them with a closed-loop view of their processes in real-time, said Tony Sumpster, Worksoft CEO. Process understanding is critical to driving digital transformation, and these platform enhancements reinforce our commitment to enabling real business change, uniquely bridging process understanding and business process automation in pre and post-production.

Digital transformation and automation strategies heighten the need to identify and understand business processes. The addition of Process Intelligence to Worksofts Connective Automation platform creates an unparalleled opportunity for enterprises to visualize and understand as-is business processes and identify and create resilient automation to enable continuous testing, RPA and Agile+DevOps development initiatives at speed and scale.

Worksofts AI-powered process intelligence is transforming the way business and IT teams align to deliver the best end-user experience and business outcomes. It provides real-time automation insights enabling customers to better understand, de-risk, and optimize their processes, said Shoeb Javed, Worksoft Chief Product and Strategy Officer. With nearly three-quarters of organizations today having adopted DevOps in some form, the request for advanced automation and deeper business/IT alignment is accelerating. Our platform now offers customers the ability to continuously evaluate process insights to target what to automate and build automation at scale, faster.

Key Process Intelligence Benefits:

Process Intelligence Customer Beta Quotes:

With Process Intelligence, its easy to view optimization and automation opportunities across all of my process data. IT Specialist for industry-leading consumer packaged goods manufacturer

Process Intelligence gives me a one-screen, easy-to-use view of what Ive automated and where I need to focus across my landscape. QA Manager for leading HVAC and building supplies manufacturer

About Worksoft

Worksoft provides Connective Automation for the worlds leading global enterprises, automating the full lifecycle of a business process from process intelligence to testing to RPA. Our codeless automation empowers business users and IT to accelerate automation and arms organizations with process data insights to prioritize automation efforts and extend the value into RPA for maximum efficiency and scalability. With Worksoft, enterprises can speed project timelines and ensure data-driven quality for their complex end-to-end business applications, including SAP, Oracle, Salesforce, Workday, SuccessFactors, ServiceNow, and more. Recognized by leading Global Systems Integrators as the markets choice for large-scale continuous enterprise automation, Worksoft is embedded into their ERP practices to enable their Agile, DevOps, and SAFe methodologies and accelerate digital transformation.

For more information, contact Worksoft at info@worksoft.com or visit http://www.worksoft.com. For media inquiries, contact Liz Blackman, eblackman@worksoft.com, or +1 (806) 438-0556.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/1636d3a1-c45d-4ac1-b12d-9e9176c899a4

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Worksoft Introduces Process Intelligence with AI-Powered Analytics to its Codeless Connective Automation Platform - GlobeNewswire