Recently, Gartner published a study about the most powerful technologies that will scale in 2020, and Robotic Process Automation is one of the first technologies mentioned in the paper. Here we compiled the most impressive findings from the research.
Strategic technology trends have the potential both to create opportunities and to drive significant disruption. So in order to make the best of them, we need to point directions and control the development of next-gen tech tools.
Automation will eventually transform into hyperautomation. The modernized form of automation requires the selection of the right tools and technologies for the challenge at hand. Understanding the range of automation algorithms and practices, their relations to one another, and how they are combined and regulated, is a significant focus for the future of automation.
Robotic process automation (RPA) is an efficient way to connect legacy systems without APIs with more modern corporate systems. It is capable of entering, capturing it using OCR, and moving structured data faster and more accurately than people and, at the same time, handle integration challenges with legacy systems. The scope of these processes is typically a short-lived repetitive task related to extracting/moving/transforming particular data. RPA tools can also augment knowledge workers undertaking day-to-day assignments, eliminating routine and repetitive tasks. Tightly defined integration scripts arrange and manage data, moving it from one environment to the next. The integration is based on interacting with the metadata that drives the screens of existing apps. Therefore these tools are usually more accessible and useful to end-users.
Business Process Management (BPM) automation covers long-running processes. An intelligent business process management suite is an integrated set of technologies that coordinates people, machines, and RPA tools. It relies on models of procedures and rules to drive a user interface and manage the context of many work items based on those principles. BPM Automation software supports the full life cycle of business processes and decisions: discovery, analysis, design, implementation, execution, monitoring, and continuous optimization. An intelligent BPM automation enables citizen developers (usually business analysts) and professional developers to collaborate on iterative development and improvement of process and decision making models.
The rapidly changing operational environment in a digitalized process requires actionable, advanced analytics to more-intelligently orchestrate several business processes across the virtual and physical worlds.
Robotic Process Automation tools provide the ability to industrialize the digital client and employee experience by correlating those interactions directly to automated back-office operations and supplier environment. Moreover, this allows a contextually aware, situationally adaptive approach where the order of interactions among participants are uniquely created based on the goals of the enterprise, its partner network, its customers, and on the operations intelligence that continuously updates and analyzes in real-time. Intelligent BPM Automation can proactively personalize interactions at scale while supporting rapid transformation and/or improvement of the client and employee journey. Moreover, AI supports an iBPMS in automating and orchestrating business processes that shape themselves as they run. These processes can, consequently, be considered adaptive and intelligent, executing the best, next action instead of the same repeatable sequence of operations.
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