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A Look At The Automation Landscape in 2020

A Look At The Automation Landscape in 2020

2020 will be the year that intelligent process automation – the combination of
robotic process automation (RPA) with AI and machine learning (ML) – comes of
age. Previously an outlier, it’s now impossible to conceive of an automation project that isn’t looking, either now or in the future, at how AI/ML can augment rules-driven



  2. 2 2020 will be the year that intelligent process automation

    – the combination of robotic process automation (RPA) with AI and machine learning (ML) – comes of age. Previously an outlier, it’s now impossible to conceive of an automation project that isn’t looking, either now or in the future, at how AI/ML can augment rules-driven automation. In 2019, we saw RPA move to the cloud with Automation Anywhere Enterprise A2019. The emphasis on scalability continued with deeper integrations with Microsoft and Google, with AI/ML embedded into the platform, and with additional ways to integrate third-party software – especially more advanced artificial intelligence – quickly and easily into the core platform. These underpinnings give enormous flexibility to businesses as they develop more intelligent automations across a wide variety of business needs. The enterprise in 2020 needs to embrace intelligent automation to deal with the increasingly challenging business environment of increased competition, business complexity, stronger regulation, and higher expectations. That requires transformational change and a strong automation deployment is a key driver for that sort of digital transformation. RPA is certainly not dead, but as we move into the future, we will see the conversation increasingly turning to intelligent process automation. Only this will bring transformation change to the enterprise, which is critical to thriving in the modern, and challenging, business landscape. FOREWORD - James Dening, Vice President, Automation Anywhere 2
  3. 3 TABLE OF CONTENTS The State of Automation......................................... 4 Influencer

    Perspectives Harold Sinnott.................................................... 6 Shelly Kramer..................................................... 7 Mike Quindazzi.................................................. 8 Daniel Newman................................................. 9 Antonio Grasso................................................ 10 Looking Ahead at 2020 and Beyond...................11 Sources...................................................................... 13 2020 will be the year that RPA solidifies its position as the orchestrator for AI. RPA will help enterprises automate legacy business process workflows and cloud AI platforms to drive hyperautomation. - Manish Rai, Vice President of Product Marketing, Automation Anywhere
  4. 4 For Robotic Process Automation, recent years have seen the

    software reach some significant milestones. 2018 saw Gartner note that over $846 million was spent on RPA, an increase of 63% from the previous year. In June 2019, Gartner recognized RPA as the fastest growing market in enterprise software.4 In this era of digital transformation, there has become a clear shift, across all industries, toward businesses leveraging Robotic Process Automation (RPA), Artificial Intelligence (AI), and Intelligent Automation (IA) - with the intent of streamlining business operations. “The State of Automation 2019: RPA, AI, and Intelligent Automation” explores five key topics: • The current state of RPA/Intelligent Automation adoption across industries and organizations of all sizes • The plan for future investment in RPA/Intelligent Automation in the next 12 to 24 months • Key motivating factors for automation investment • Common challenges preventing organizations from moving forward with automation deployments • Best practices for organizations either contemplating or already engaged in incorporating RPA, Intelligent Automation, and AI-based solutions THE STATE OF AUTOMATION To learn more, download The State of Automation 2019: RPA, AI, and Intelligent Automation and get the insights needed to keep your automation journey a top priority. FEEL THAT THE IDEAL RPA DEPLOYMENT MODEL REPLACES ZERO HUMAN WORKERS, AND INSTEAD AUGMENTS 100% OF THEM.1 NEARLY 1 IN 4 BUSINESSES FEEL THAT AUTOMATION WILL CHANGE THEIR COMPANY CULTURE FOR THE BETTER IN THE NEXT 5 YEARS.1 2 OUT OF 3 BUSINESSES


    IMPLEMENTED SOME TYPE OF INTELLIGENT AUTOMATION, BE IT RPA OR AI, IN AT LEAST ONE PROCESS.1 9x MORE BUSINESSES BELIEVE IN THE VALUE OF RPA, AI, AND AUTOMATION THAN BUSINESSES THAT DON’T.1 The way businesses operate and deliver value to customers is continuously changing. More than ever, digital transformation, the integration of digital technology into all areas of a business, is a disruptor that takes a leading role in changing companies’ strategic landscape. Robotic Process Automation (RPA) is a way of automating high-volume, low- complexity, routine processes so that recurring and manual digital work is done by software robots, or “bots.” Typically, bots perform tasks that are both simple and structurally repetitive, at a much higher rate than would be possible for a human alone. RPA has been growing exponentially over the last few years. Today, it’s the fastest- growing segment of the enterprise software market, according to Gartner. Despite that growth, the reality is a vast amount of business processes are still manual. Having said this, there’s a very good opportunity for the entire culture of an organization to get familiar with bots. ROBOTIC PROCESS AUTOMATION AT A GLANCE by Harold Sinnott Harold Sinnott is a human resources leader, recognized as a top social media influencer in topics related to the future of work, emerging technologies and business intelligence. He empowers leaders to enable business strategy and deliver value transformation. 6
  7. 7 It’s no surprise that the adoption of Robotic Process

    Automation (RPA) has increased at lightning speed across the enterprise, but it’s intelligent automation (IA) that is the next logical step for companies that have begun their digital transformation journey. What’s the difference between RPA and IA? Think of it this way: RPA is the brawn, or the workhouse of your operation. It’s generally how companies get started on their automation journeys, leveraging software to reduce or eliminate manual efforts, interacting and executing processes a human might have done in the past but that are more efficiently, and more effectively, done by software. IA is the brains of the organization. IA is exactly as the name implies: intelligent. Powered by artificial intelligence, IA can actually mimic humans, learn from them as they go and, over time, do some jobs even better than their human counterparts might. INTELLIGENT AUTOMATION: THE NEXT STEP IN DIGITAL TRANSFORMATION by Shelly Kramer Shelly Kramer is a principal analyst at Futurum Research and one of the founding partners. A serial entrepreneur with a technology centric focus, she has worked with some of the world’s largest brands to lead them into the digital space, embrace disruption and the reality of the connected customer, and help navigate the process of Digital Transformation. 72% OF BUSINESSES SAY RPA HAS SAVED MORE THAN 50 HOURS PER EMPLOYEE PER MONTH, WHICH REPRESENTS 30% OF EMPLOYEE TIME2 OF RESPONDENTS TO A FORRESTER SURVEY BELIEVE AN AUTOMATION-ENABLED WORKFORCE LEADS TO FASTER AND BETTER DECISIONS2 68% 7
  8. 8 The opportunity for intelligent automation is growing with the

    scale of the technology. The ability to ubiquitously work across complex enterprise systems and internet applications, which typically require a human, is providing the world’s largest organizations opportunity to find a competitive advantage. Elements such as RPA, workflow automation, process intelligence, intelligent data extraction, data analytics, and conversational interfaces can all combine to expedite redundant tasks — and facilitate distinctive end-to-end processes. Built on the success of RPA, digital labor has proven to handle lighter workloads and integrate systems quickly, laying the foundation for a more expansive digital workforce vision. PAVING THE WAY FOR THE FUTURE OF WORK by Mike Quindazzi 78% OF ORGANIZATIONS WHO HAVE ALREADY IMPLEMENTED RPA EXPECT TO SIGNIFICANTLY INCREASE INVESTMENT IN RPA OVER THE NEXT THREE YEARS.3 Mike Quindazzi is managing director and the U.S. Digital Alliances Sales Leader for PwC. He has 30 years invested in gathering industry experience and crafting his management consulting abilities, leading teams and global companies on innovation, strategy and transformational initiatives. 49% OF ORGANIZATIONS THAT HAVE PILOTED RPA, VIEW COGNITIVE/INTELLIGENT AUTOMATION AS A TECHNOLOGY THAT OFFERS AVAILABLE SOLUTIONS THEIR ORGANIZATION CAN USE.3
  9. 9 Intelligent Process Automation (IPA) is an advanced type of

    process improvement that offers greater efficiencies and cost-saving results than traditional RPA. It’s a set of technologies — including RPA, machine learning, and artificial intelligence (AI) — that all work together to execute multiple human and automated processes in an ever-changing context. IPA doesn’t just learn how to do tasks — it continues to learn how to do them better over time, even when working with unrelated software systems, and when scaling throughout an enterprise. IPA offers tremendous potential for competitive advantage when companies create a clear roadmap to success. 7 STEPS TO SUCCESSFULLY MOVE TOWARD IPA by Daniel Newman 8 OUT OF 10 BUSINESSES THAT HAVE ALREADY IMPLEMENTED RPA NOW BELIEVE THAT INTELLIGENT AUTOMATION IS MOST EFFECTIVE WHEN IT AUGMENTS RATHER THAN REPLACES HUMAN WORKERS 1 Daniel Newman is the Principal Analyst of Futurum Research and the CEO of Broadsuite Media Group. Living his life at the intersection of people and technology, Daniel works with the world’s largest technology brands exploring Digital Transformation and how it is influencing the enterprise. From Big Data to IoT to Cloud Computing, Newman makes the connections between business, people and tech that are required for companies to benefit most from their technology projects, which leads to his ideas regularly being cited by CNBC, Barrons, Business Insider, Squawk Box, Yahoo Finance and hundreds of other sites across the world. A 7x Best-Selling Author including his two most recent “Human/Machine,” and “Futureproof.” 9
  10. 10 What skills are needed to face the digital “workforce”

    transformation in the industry, and how will humans create value in an increasingly automated world? Soft skills are a very important foundation to build upon. Moreover, the ability to collaborate and brainstorm to create new ideas is a feature that can boost business processes and optimize performances — and it has nothing to do with robots. These are human skills and represent the added value that automation simply can’t offer. Thus, companies should focus over the next decade on the fact that, although machines will gradually become more powerful, humans will actually be even more essential, since technology will act as an integrator and not as a replacement for skills needed. HUMANITY: THE KEY TO ADDRESSING 3 COMMON AUTOMATION CHALLENGES by Antonio Grasso Antonio Grasso is an advisor, and enterprise and public sector consultant and mentor to numerous startups and large multinational companies. He is currently collaborating with Siemens, Intel, The European Commission, Atos, Cisco, Ericsson, IBM, Talend, Huawei, Automation Anywhere, Ricoh, Adnoc Group and many others as Content Advisor, B2B Influencer and Software Innovator. TOP CHALLENGES FOR THOSE WHO HAD IMPLEMENTED AND SCALED RPA3 1. Process standardization 2. IT buy-in and support 3. Integration and flexibility of solution 4. Stakeholder buy-in and expectations 5. Employee impact 10
  11. 11 Robotic Process Automation (RPA) can be considered training wheels

    for organizations working to embrace digital transformation. RPA is the logical point of entry. That said, it’s Intelligent Process Automation (IPA) that is the true driver of business change, leveraging artificial intelligence and cognitive capabilities to help organizations effect true change. That is what we’re going to see more of in 2020. LOOKING AHEAD TO 2020 AND BEYOND Companies will be able to be more efficient and more competitive in terms of costs. There will be more time and resources available to concentrate more efforts on customer needs and satisfaction, and generate more positive social impact on communities. The availability of training and certifications in RPA free of charge, will significantly help in the upskilling needed for new job opportunities. 9 in 10 executives surveyed by PwC believe AI offers more opportunities than risks. Yet as RPA/IA becomes more pervasive in 2020, a focus on COE fundamentals is increasingly a priority as stakeholders look to gain momentum for more expansive enterprise-wide initiatives. 11
  12. 12 In a seamless digital world where humans and machines

    are collaborating even more closely, Intelligent Automation will bring “Intelligence at our Fingertips” and Robotic Process Automation will be the driver of this workforce disruption with great benefits to all of us. We must welcome this innovation as it creates more time for us to become better human beings. RPA as we know it is dead. The future will reside in Intelligent Automation, which will leverage future architectures including AI, Cloud and SaaS to deliver deep process automation that can handle the fluidity of technological change and customer demands. The companies that can bridge RPA to support intelligent automation will emerge victors in this exciting and competitive space. 12
  13. 13 1. Futurum Research, The State of Automation 2019: RPA,

    AI and Intelligent Automation, 2019, 2. Forrester , ANZ Businesses Reap Early Success of RPA Adoption, 2019, 3. Deloitte, The 3rd Annual Global RPA Survey Report, 2018, 4. Gartner, Gartner Says Worldwide Robotic Process Automation Software Market Grew 63% in 2018, 2019, automation-sof SOURCES 13
  14. 14 Automation Anywhere North America: 1-888-484-3535 x1 | International:

    1-408-834-7676 x1 @AutomationAnywh www. Copyright © 2019 Automation Anywhere, Inc. All rights reserved. Automation Anywhere, the Automation Anywhere logo, Go Be Great, Bot Insight, and IQ Bot, among others are either registered trademarks or trademarks of Automation Anywhere, Inc. in the United States and/or other countries. Other product names used in this publication are for identification purposes only and may be trademarks of their respective owners.