Ketan Karkhanis, CEO of ThoughtSpot, explains how AI agents will become as common as Excel. The biggest barrier isn't the technology but data readiness: column descriptions need to be written for machines, not humans. Data analysts are becoming AI stewards, preparing data so agents generate reliable insights instead of sloppy ones.
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Building agents is going to be as common as using an Excel file. Agents make you a super team. Agents are your force multipliers. You see, the biggest limiting factor to adoption is not the intent of embracing AI, but it is data readiness.
AI agents for analytics recently started to deliver on their promise. But there's a huge difference between the happy path of the data team being wildly productive and the unhappy path of the data team creating AI slop. And people trying to make decisions based on nonsense.
Don't let perfection be the enemy of progress is absolutely critical. The ability to talk to your data is now not an option. It is an imperative. Your column description should be agent-friendly, AI-friendly, and not human-friendly because humans are never going to read that anymore. Agents are going to read that for you.
I want to know how the role of the data team is changing in this agentic future, how data teams can become AI-ready, and how we can bring data-driven decision-making to the whole of the organization. Our guest is Keitan Karkanis, the CEO at ThoughtSpot. Keitan is spearheading ThoughtSpot's transition from a business intelligence platform to an agent analytics platform. So naturally, he's very keen on the topic.
I think so. It's the most exciting time to be a data analyst in the industry right now. The big thing we are seeing data analysts do now is becoming AI stewards.