Medical costs already consume nearly 85%  of every premium dollar, and health plans face pressure to prove their data and AI investments produce more than dashboards. Muralidhar Vemulapalli, Chief Enterprise Architect and Acting Chief Technology Officer at Arkansas Blue Cross Blue Shield, opens the first installment of a three-part CDO Magazine interview series by explaining what changed to make AI a strategic requirement rather than another pilot project. Chris Gengo, Chief Innovation Officer at HiLabs, leads the discussion.

Vemulapalli traces the shift to three forces: real-time data, commoditized large language models, and rising cost and consumer pressure on the operating model. Because healthcare remains regulated, Vemulapalli argues governance has to keep pace with adoption instead of trailing behind it.

Key discussion points include:

• From pilot to imperative: Vemulapalli names the forces behind AI’s shift to business necessity, alongside the governance a regulated industry demands.
• A unified data fabric: Vemulapalli favors a shared semantic layer over curated warehouses, so machines, not only analysts, can interpret claims and care data.
• Context over connectivity: Vemulapalli says the industry solved data interoperability but not context interoperability, and wants a governed way to carry member context between systems.
• Five levers on medical cost: Vemulapalli maps AI’s impact across utilization management, care management, provider intelligence, member intelligence, and digital twins.
• Decision infrastructure over dashboards: Vemulapalli credits outcomes to organizations that invest in decision infrastructure and shared accountability, not insight alone.

The conversation continues in the next installment.

On the move? Take this conversation with you. If you don’t have time to finish the video, you can stream the complete, uninterrupted audio edition of this episode on the go.