Artificial intelligence (AI) and Robotic Process Automation (RPA) have a lot in common. They’re both increasingly popular technologies, with enterprise installations accelerating year after year. They both promise to revolutionize companies striving for digital transformation. And they both, until now, have been relegated to silos within organizations, requiring highly skilled — yet scarce — practitioners to successfully deploy them.
Changing the world with automation
Distractions are the enemy of innovation. In order to be truly innovative, you first need a level of mastery in a given craft, so you can effortlessly command it whenever it’s needed. But no matter how precise a skill set or tool, if you’re distracted with tedious though necessary tasks, it’s easy to lose sight of the big picture.
Artificial intelligence (AI) can be your secret weapon for inventing the drugs of the future — and it’s not as hard as you think. The U.S. Food and Drug Administration is embracing AI to accelerate the decades-long process of getting new drugs to market.
In the first installment of this three-part RPA primer series, we covered what Robotic Process Automation is and why you need it, and provided some examples of how adopting RPA can streamline business processes. Let’s continue that conversation with a discussion about the components that make up an RPA system and a walkthrough of creating your very own software robot, or bot.
Combined with Robotic Process Automation (RPA), artificial intelligence (AI) is serving as neural dust that’s well on its way to behaving similarly to human brain cells. As such, AI-powered RPA, or intelligent automation, is now a path to solving business problems and helping C-level leaders mature a business faster.
Automation gives employees more opportunities to thrive. That’s what a March 2019 Forrester study on the effects of adopting robotic process automation (RPA) in various industries, including financial services, utilities, and government, found.