In this episode, Lior Solomon, VP of Data at Drata, joins Yuki Data CEO Ido Arieli Noga to unpack one of the toughest challenges in enterprise AI: proving value while keeping costs under control.

Solomon shares how Drata structures AI vs. BI budgets, why data teams struggle with ROI attribution, and why Iceberg-backed data lakes are becoming essential to reduce warehouse spend. He also offers a candid take on the future of query engines — balancing flexibility with the need to reduce vendor sprawl.

A must-listen for data leaders shaping AI investment strategy, platform architecture, and long-term cost governance.