The world is still in the early stages of figuring out what to do with democratized artificial intelligence. But it isn’t just for people who work with advanced maths or in the data sciences, according to Alan Pelz-Sharpe (pictured, right), co-author of the book “Practical Artificial Intelligence – An Enterprise Playbook” and founder of Deep Analysis.

“We’re in the early phases of figuring out what to do with it, and some of those things are very basic. Undertaking administrative tasks that were previously manual,” Pelz-Sharpe said. “It’s not very exciting, but it saves a heck of a lot of money, and it saves a lot of headaches. Hopefully, in things like insurance, in healthcare, in customer service, just making life easier for everybody. There’s many more complex and fantastic and amazing things, but those are the things in business that we’re first encountering.”

Pelz-Sharpe and Luke Palamara (left), vice president of AI product management at UiPath Inc., discussed what comes next with theCUBE industry analysts Lisa Martin and Rebecca M. Knight at UiPath FORWARD VI, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed customer examples around AI and how to apply AI for more than just data scientists in an organization. (* Disclosure below.)

Going beyond personal productivity

If one thinks of AI as the brain and automation as the muscle, those two things together can help to put AI to work in the enterprise, according to Palamara. Of course, these days, there’s a lot of excitement around GenAI, with a use case targeting personal productivity.

“With UiPath, what we’re focused on is going beyond just personal productivity and actually making it productive for the enterprises,” Palamara said. “When you look at the capabilities that we bring to the table to help do that, what does AI need to actually make it work in the enterprise? First, there’s context.”

One has to bring context to the AI in terms of information, so that it can make the right decisions, Palamara noted. When it comes to UiPath, that context comes from the organization’s integration service.

“Bringing that data in, and then the other elements are really around action. Being able to give the AI the capability to take action is really what UiPath is all about,” Palamara said. “It has to go beyond. To put AI at work and make it productive in the enterprise, we have to do more than just allow it to make decisions with that context.”

One has to actually allow it to orchestrate the movement of information from system to system and do an invoice processing use case and enter it into a system, according to Palamara. That’s what UiPath is focused on.

“Context and providing context, enabling it to take action. That’s where we amplify AI with automation,” he said.

Here’s the complete video interview with Alan Pelz-Sharpe and Luke Palamara, part of SiliconANGLE’s and theCUBE’s coverage of UiPath FORWARD VI:

(* Disclosure: UiPath Inc. sponsored this segment of theCUBE. Neither UiPath nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE