AI Agents in the Enterprise: Key Insights from the Databricks State of AI Agents Report

Everyone is talking about AI agents. But very few conversations are grounded in real data.

Databricks just released their new State of AI Agents report, and it gives a clear picture of how enterprises are actually using AI today, what is working, and where things are headed next.

I sat down with Kunal Marwah, Mason Force, and Chengyin Eng from Databricks to break down what stood out to them from the report and what they are seeing directly with customers.

We talked about why companies are moving from to multi-agent systems, how teams are choosing their first real business use cases, and how agents are driving the need for a new type of database called Lakebase.

We also discussed what separates teams that get AI into production from those stuck in endless pilots. Governance, evaluation, and clear alignment to business outcomes came up again and again.

If you are leading data, AI, or product initiatives, this conversation gives a practical look at what enterprise adoption actually looks like today and what leaders should focus on next.

I have shared the link to the full report in the comments if you want to dig into the data yourself.

Learn more about --

-- Databricks Mosaic Research: https://www.databricks.com/blog/category/ai/mosaic-research

-- Databricks Industry Solutions: https://www.databricks.com/solutions/accelerators

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