Why AI Stalls for Health Plans: Turning Data Into Action

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Health insurers have built real AI infrastructure. Claims data flows into unified analytics platforms. Predictive models score members for risk. Quality programs track hundreds of clinical measures with precision. And yet the care manager still doesn’t know about the gap before the audit closes. The member still doesn’t get the call in time. The insight sat in a dashboard nobody was watching.

This isn’t primarily a technology problem. It’s a distance problem — between what data knows and what care teams can act on. It’s one of the clearest themes emerging from conversations at this year’s Databricks Data + AI Summit.

The Industry Has Moved Past “AI Is Coming”

Databricks Data + AI Summit (DAIS) 2026 has been clarifying. The conversation has shifted. Fewer organizations are asking whether to adopt AI. More are asking why it isn’t producing outcomes yet.

The conversations this week show the reality — experimentation has...

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