Enterprise data has never been more valuable, yet most companies still struggle to answer simple business questions.

This week, I sat down with Ethan Ding, Co-Founder and CEO of TextQL, to discuss why traditional analytics tools weren't built for the age of AI, how autonomous agents are changing enterprise infrastructure, and what happens when AI starts generating thousands of queries where humans once generated dozens.

We discuss:

• Why today's BI tools are reaching their limits

• The biggest technical challenges behind enterprise AI

• How TextQL is rethinking the modern data warehouse

• Why data analysts aren't disappearing—but their jobs are changing

• Finding product-market fit in one of AI's most competitive markets

• What enterprise software looks like over the next five years

If you're building, investing in, or buying AI products, this is a conversation you won't want to miss.