The market for robotic process automation (RPA) has grown rapidly over the last decade with adoption often driven by business users excited by the opportunity to achieve cost savings and process improvement without the usual headaches of big technology projects.
Despite this popularity with business users, many IT professionals have derided RPA as being no different from macros or merely a Band-Aid that would have a short lifespan in the enterprise.
And we saw that yesterday and today at leading RPA vendor UIPath’s annual conference in Las Vegas: UIPath is making big strides in delivering on these two goals, moving well beyond RPA’s early bot-centric model for automating tasks and pointing toward a future where RPA is a robust platform for building applications that automate complete business processes.
The company is adding a new framework called AI Fabric, and it is also making it substantially easier to bring machine learning into automations.
It’s worth stepping back for a moment to assess where this has all come from and why Gartner reports that RPA is “…the fastest-growing segment of the global enterprise software market.”
The nomenclature of “robotic process automation” is less than a decade old and refers to the core capability of the software: to emulate the mouse clicks and keystrokes that a human would do, thus automatically retrieving or entering information into computer systems.