{"id":1206,"date":"2019-02-15T10:32:01","date_gmt":"2019-02-15T10:32:01","guid":{"rendered":"http:\/\/kusuaks7\/?p=811"},"modified":"2023-07-05T15:09:51","modified_gmt":"2023-07-05T15:09:51","slug":"2018-the-year-enterprise-robotics-software-and-services-will-reach-1-5-bn","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/bigdata-cloud\/2018-the-year-enterprise-robotics-software-and-services-will-reach-1-5-bn\/","title":{"rendered":"2018: The year enterprise robotics software and services will reach $1.5 Bn"},"content":{"rendered":"

Ready to learn Data Science? Browse courses<\/a>\u00a0like\u00a0Data Science Training and Certification<\/a> developed by industry thought leaders and Experfy in Harvard Innovation Lab.<\/em><\/strong><\/p>\n

When the statement \u201cIt\u2019s just like BPR from twenty years ago, but with tech that actually works\u201d rang out at the recent London FORA Summit, the nods around the room were palpable.<\/p>\n

2017 has undoubtedly been the break-out year for enterprise robotics software. We witnessed a whole new industry emerge around robotic technologies that can stitch together workflows, processes, applications and desktop interfaces to provide a genuine transformation of the digital underbelly for so many enterprises, many of whom have suffered for decades from inefficient manual workarounds and spaghetti\u00a0code clogging up their ability to access data and run their businesses properly. Today, the emerging solutions available on the market do not load the enterprise transformation blunderbuss with silver bullets, but they do provide a starting point to improve\u00a0fundamentally the data underbelly of an organization. And, for so many organizations, they are turning to robotics software RPA\u00a0(Robotic Process Automation) and RDA (Robotic Desktop Automation) as the starting point.<\/p>\n

Robotic Process Automation<\/em><\/strong><\/p>\n

The global market for RPA Software and Services will reach $898 million in 2018 and is expected to grow to $2.2 billion by 2021 at a compound annual growth rate of 54%.<\/p>\n

RPA\u00a0Definition:<\/strong><\/p>\n

Example use-case: automating invoice processing across multiple business applications handling rule-based exceptions. RPA is different from traditional automation software as it is inherently capable of recognizing and adapting to deviations in data or exceptions when confronted by large volumes of data. In effect, it can be intelligently trained to analyze large amounts of data from software processes and translate them to triggers for new actions, responses, and communication with other systems.\u00a0RPA describes a software development toolkit that allows non-engineers to quickly create software robots (known commonly as \u201cbots\u201d) to automate rules-driven business processes. At the core, an\u00a0RPA system imitates human interventions that interact with internal IT systems. It is a non-invasive application that requires minimum integration with the existing IT setup; delivering productivity by replacing human effort to complete the task. Any company which has labor-intensive processes, where people are performing high-volume, highly transactional process functions, will boost their capabilities and save money and time with robotic process automation.\u00a0 Much fr RPA\u00a0is self-triggered (bots pass tasks to humans), but requires human intervention for judgment-intensive tasks and robust human governance and to make changes\/improvements.<\/p>\n

Similarly, RPA offers enough advantage to companies which operate with very few people or shortage of labor. Both situations offer a welcome opportunity to save on cost as well as streamline the resource allocation by deploying automation.\u00a0The direct services market includes implementation and consulting services focused on building RPA capabilities within an organization. It does not include wider operational services like BPO, which may include RPA\u00a0becoming increasingly embedded in its delivery.<\/p>\n

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Robotic Desktop Automation<\/em><\/strong><\/p>\n

In addition to RPA, the other software toolset which comprises the emergence of enterprise robotics software is termed RDA\u00a0(Robotic Desktop Automation).\u00a0 Together with RPA, RDA will help drive the market for enterprise robotic software towards $1.5bn in software and services expenditure in 2018 (with close to three-quarters tied to the\u00a0services<\/em>\u00a0element of strategy, design, transformation and implementation of enterprise robotics).\u00a0 HfS\u2019 new estimates are for the total enterprise robotics software and services market to surpass $3 billion by 2021 as a compound growth rate of 39%.<\/p>\n

RDA Definition:<\/strong><\/p>\n

Example use-case: automating transfer of data from one system to another. RDA is essentially surface automation, where desktop screens (whether desktop-based, web-based, cloud-based) are \u201cscraped\u201d, scripted and re-programmed to create the automation of data across systems.\u00a0 A well-designed RDA solution can automate workflows on several levels, specifically: application layer; storage layer; OS layer and network layer. Workflow automation on these layers requires equally specific technologies but provides advantages of efficiency, reliability, performance and responsiveness. Much of this automation needs to be attended by humans as the automation is triggered by humans (humans pass tasks to bots), as data inputs are not always predictable or uniform, but adaptation of smart Machine Learning techniques can reduce the amount of human attendance over time and improve the intelligence of these automated processes.\u00a0 \u00a0 Similarly to RPA, RDA requires human intervention for judgment-intensive tasks and robust human governance and to make changes \/ improvements:<\/p>\n

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The Bottom-Line: Automation and AI have a significant part to play in engineering\u00a0a touchless\u00a0and intelligent\u00a0OneOffice<\/strong><\/p>\n

However which way we spin \u201cdigital\u201d, the name of the game is about enterprises responding to customer needs as and when they occur, and these customers are increasingly wanting to interact with companies without physical interaction. This means manual interventions must be eliminated, data sets\u00a0converged and process chains broadened and digitized to cater for the customer.\u00a0 This means entire supply chains need to be designed to meet these outcomes and engage with all the stakeholders to service customers seamlessly and effectively.\u00a0 There is no silver bullet to achieve this, but there is emerging technology available to design processes faster, cheaper and smarter with desired outcomes in mind.\u00a0 The concept was pretty much the same with business process reengineering\u00a0two+ decades ago, but the difference today is we have emerging tech available to do the real data engineering that is necessary:<\/p>\n

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In short, every siloed dataset restricts the analytical insight that makes process owners strategic contributors to the business. You can\u2019t create value \u2013 or transform a business operation \u2013 without converged, real-time data. Digitally-driven organizations must create a\u00a0Digital Underbelly<\/em>\u00a0to support the front office by automating manual processes, digitizing manual documents to create converged datasets, and embracing the cloud in a way that enables\u00a0genuine scalability\u00a0and security for a digital organization. Organizations simply cannot be effective with a digital strategy\u00a0without automating processes intelligently \u2013 forget all the hype around robotics and jobs going away, this is about making processes\u00a0run digitally\u00a0so smart organizations can grow their digital businesses and\u00a0create\u00a0new work and opportunities. This is where RPA\u00a0and RDA adds most value today\u2026 however, as more processes become digitized, the more value we can glean from cognitive applications that feed off data patterns to help orchestrate more intelligent, broader process chains that link the front to the back office. \u00a0In our view, as these solutions mature, we\u2019ll see a real convergence of analytics, RPA, and cognitive\u00a0solutions as intelligent data orchestration\u00a0becomes the true lifeblood \u2013 and currency \u2013 for organizations.<\/p>\n

Do take some time to read the\u00a0HfS\u00a0Trifecta<\/a>\u00a0to understand the real enmeshing of automation, analytics, and AI.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Ready to learn Data Science? Browse courses\u00a0like\u00a0Data Science Training and Certification developed by industry thought leaders and Experfy in Harvard Innovation Lab. When the statement \u201cIt\u2019s just like BPR from twenty years ago, but with tech that actually works\u201d rang out at the recent London FORA Summit, the nods around the room were palpable. 2017<\/p>\n","protected":false},"author":152,"featured_media":2420,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[187],"tags":[94],"ppma_author":[2653],"class_list":["post-1206","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-bigdata-cloud","tag-data-science"],"authors":[{"term_id":2653,"user_id":152,"is_guest":0,"slug":"phil-fersht","display_name":"Phil Fersht","avatar_url":"https:\/\/secure.gravatar.com\/avatar\/?s=96&d=mm&r=g","user_url":"","last_name":"Fersht","first_name":"Phil","job_title":"","description":"Phil Fresht, the author, and creator of the most widely-read and acclaimed blog in the global services industry, entitled “Horses for Sources”, is CEO and Chief Analyst at HfS Research. He regularly contributes to media such as Wall St Journal, Business Week, Economist, The Times of India and CIO Magazine and is a regular keynote speaker at major industry events, such as NASSCOM, ANDI, ABSL, Global Sourcing Association, SSON, Sourcing Interests Group and HfS Summits."}],"_links":{"self":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/1206","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/users\/152"}],"replies":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/comments?post=1206"}],"version-history":[{"count":3,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/1206\/revisions"}],"predecessor-version":[{"id":29030,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/posts\/1206\/revisions\/29030"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media\/2420"}],"wp:attachment":[{"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/media?parent=1206"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/categories?post=1206"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/tags?post=1206"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/www.experfy.com\/blog\/wp-json\/wp\/v2\/ppma_author?post=1206"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}