Shireesh Thota, CVP of Databases at Microsoft, explains why AI agents hallucinate without proper data context. He introduces Microsoft Fabric, a unified data platform designed to give both humans and AI agents accurate access to information, and discusses the challenge of simplifying complex infrastructure while meeting service-level agreements.
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If you just use an agent, it can easily hallucinate. The answer to solving that question, the simplest one, is to make sure that you really have the right context of the data. The one thing that massively changes is the ability to reason with data. We have basically invented this unified data platform. We call it Fabric. The opportunities got multiplied. You could gather a lot more insights.
The data stack is evolving again. Having a platform that works for both humans and agents is the latest challenge. So Today we're gonna find out what to build. In particular, we'll be looking at the Microsoft stack based on Azure and Fabric. And since tech is just a means to an end, I also want to know the implications for how data teams should be working.
Now, when you think about all these pieces of the stack, it's incredibly hard to get it all right, get it simplified to a point where you really can sleep well and not have to worry about the SLAs that you can promise.
Our guest is Shirish Thota, the Corporate VP of Databases at Microsoft. Shirish is responsible for product and engineering for Microsoft's Cosmos DB. As well as its offerings for open-source databases like Postgres and MySQL.
The traditional data projects are still there. The time to value needs to be significantly reduced. Maybe we have timed that, maybe we peaked a little too early, and I think we as an industry need to acknowledge and accept that.
Let's find out what's new in databases and the rest of the data stack.