Semantic model generation

“Lets us get a lot more out of our data than [...] We can sit on top of all of the data in [our data warehouse] as opposed to just, like, our little ingested, you know, three gigabytes semantic models. I think we have a lot of power here.”

“Gave Athena the spreadsheet, explained which column I was trying to figure out, and then ten secs it told me... exactly how the calculation was based on the other data.”

“One workspace. All different, let's say, avatars of their output data. Right? Suddenly, it's dashboard. Excel is here. PowerPoint is when it's all together. It's very impressive.”

“Digital worker, it gets spun up, it gets given access to the toolkits that it needs. It gets given access to the data that it needs. Just exists for the period it needs to exist to perform the task. And then it gets torn back down again afterwards.”

“I like that direction, that concept of the agent is the agent. It becomes an entity in its own right with its own ownership and its own missioning, and you get rid of the gray area and the blurry lines.”

“We have a variety of tools today that we have trails for, but not many of them can quickly and easily revert back to the previous versions.”

“Some of the traceability stuff that you guys have within your tool that doesn't exist anywhere else”

“Obviously, you guys have really good security. We trust you guys with your security of what we do.”

“It's a touchless, you know, seamless. Like, it just gives them whatever they have access to.”

“This is where the puck's going and this is where the moat is for an enterprise.”