The Real-World State of Enterprise AI: Lessons from the Front Lines

One of the most honest conversations I had at Data + AI Summit by Databricks was with Sally Liu (Machine Learning Engineer at Kumo) and Raymond Yao (Coinbase) — two people building and applying AI where it really matters. Learn more -- https://kumo.ai/?utm_source=ravit&utm_medium=influencer&utm_campaign=snowflake_databricks2025&utm_term=the_ravit_show

We talked about:

- The biggest opportunities and roadblocks in deploying machine learning at scale — across both platforms and real-world fintech

- What’s getting their attention beyond LLMs — including models and infrastructure they believe are next

- The real talk on ROI — not every AI project pays off, so we dug into which efforts have actually delivered business impact

- And that eternal question: build vs. buy? Their perspectives on when to lean on in-house innovation vs. external tools were refreshingly grounded

It’s always great to hear from folks who are in the trenches, balancing experimentation with results.

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