Data + AI Summit Recap: What's Next in Enterprise AI | Databricks

The biggest enterprises in the world are still figuring out AI too. That should feel relieving — not discouraging. If you've paid for an AI tool that your team quietly stopped using, you're not beh

The biggest enterprises in the world are still figuring out AI too.

That should feel relieving — not discouraging.


If you've paid for an AI tool that your team quietly stopped using, you're not behind. You're actually ahead of most business owners who haven't tried anything yet. The learning is in the attempt.


Here's what the latest enterprise AI research confirms: the companies winning with AI aren't deploying dozens of tools. They're solving one specific, high-friction problem first. Then they build from that proof point.

The mistake isn't buying AI. It's buying AI before you've named the exact bottleneck it needs to fix.

When the problem is specific, the right tool becomes obvious. And the ROI shows up in weeks, not quarters.


One thing you can do this week — no coding, no system overhaul required:

Write down the one task your team repeats most that feels like a waste of their time. That's your AI starting point. Not a strategy. Not a roadmap. Just that one thing.


That single answer has unlocked more clarity for business owners I work with than any consultant's slide deck ever did.


What's the one task you'd eliminate tomorrow if you could?


#AIStrategy #BusinessGrowth #SmallBusiness #AIForBusiness

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Whether you're building an agentic AI roadmap or pressure-testing your current approach, you'll gain a clearer view of how leading enterprises are ...