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Baris Gultekin: evaluation

14 Jan 2026 The Cognitive Revolution Snowflake VP of AI Baris Gultekin on Bringing AI to Data, Agent Design, Text-2-SQL, RAG & More

“Yeah, but plus, as a data platform company, I will call out the importance of ultimately all of these capabilities come down to, for any given company, the differentiation is their data.”

— Baris Gultekin

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Speaker
Baris Gultekin
Attribution
Verified speaker
Claim type
evaluation
Recorded
14 Jan 2026
Publisher
The Cognitive Revolution

Transcript context

…Yeah. The working prototype is the coin of the realm these days, for sure. Yep. Yep. I do see that it's a natural progression. Today, the agents that are being built are either automating certain processes from a productivity perspective, or they are more like, you know, copilots that I can ask questions to and then get responses versus these autonomous intelligence entities, if you will. When exactly that will happen, I think really depends on how scoped can you get them to. I don't think we're at a point where you can just create another colleague that can just do anything and everything. But if you can just very easily scope the task, then I think that absolutely is possible. Yeah, so I don't know. I do see it happening, whether this is Q2 or not. I'm not so sure yet. And again-- I'm trying to find out. Yeah, but plus, as a data platform company, I will call out the importance of ultimately all of these capabilities come down to, for any given company, the differentiation is their data. And then the access to that data, being able to figure out and retrieve the right types of data to be able to answer that question. And then increasingly, the tools that are given to these agents to take action. I think that changes industries. That changes how we think of data. That changes how we think of making AI, making the data AI-ready, as well as making the tools AI-ready, so that more and more capable agents can be built. Do you see changes to data itself? I guess one that we've talked about already is just retroactively going back and applying structured, unstructured data, creating metadata, so on and so forth. In the wild, one big change that we're seeing to data is like the web itself is increasingly comprised of AI generated data. And so that's a weird feedback loop that we accidentally created. Are there any other perhaps surprising patterns in data within enterprises that you're seeing as a result of AI coming onto the scene? Or is it maybe just still too early for something like that to be?…

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