Summit Evidence
By Jason Haupt, PhD — Former Chief Data Scientist, UHG
Jason Haupt
Nobody has the complete picture — including the people closest to this technology. What they have instead is a practice, and it works at any scale.
Jason Haupt
The organizations turning AI into value are running a playbook they already know from cloud migration, with one amendment for systems whose behavior keeps changing.
Jason Haupt
A field conversation with Gary Berman on connecting probabilistic AI to defined workflows, measurable evidence, and accountable execution.
Jason Haupt
Software Factories: What AI Changes About The SDLC0:00/1308.6236281× Software development is becoming one of the clearest early examples of what happens when AI moves from assistance to delegated execution. In this Summit Evidence AI Field Conversation, I sit down with TensorLake founder Diptanu Gon Choudhury to examine how the engineering bottleneck is changing: developers are beginning to manage parallel agent work, architecture and testing are becoming more important, and the tradition
Jason Haupt
Model quality is commoditizing. The decisive factor is now whether a system can be trusted at healthcare scale. To understand where the market is heading, look closely at the vendors quietly winning enterprise traction right now. 4 trust layers in healthcare0:00/762.3238321× A useful way to understand where healthcare AI is heading is to look closely at the vendors that are quietly winning enterprise traction right now. They are not always the ones with the most impressive technical dem
Jason Haupt
For years, data scientists built trust by decomposing probabilistic systems into measurable tasks. That discipline still matters. But once agents act across tools, workflows, and decisions at machine velocity, task telemetry and analysis alone is no longer a sufficient baseline. Baseline Decision Telemetry0:00/845.5330151× For decades, trustworthy AI was built the right way: define the task, instrument the parts, benchmark the flow, and audit the result. That logic still holds for bounded syst
Jason Haupt
Most large healthcare organizations have solved the C-suite buy-in problem. The harder problem — the one that actually determines whether an AI program scales or plateaus — are the layers directly below.
Jason Haupt
How Surest rewired member decision-making without rewriting provider contracts — and what the next wave of plan innovators is actually competing for.
Jason Haupt
The healthcare organizations making real progress with AI are not the ones running the most experiments. They are the ones building an operating model for intake, readiness, governance, and execution.
Jason Haupt
I had have several conversations about AI leadership over the last few month. I recognize the role of IA and Technology leaders are evolving, but there is a structured way to approach this rather than jumping on the "AI train". Copy what CIOs already know what to do.
Summit Evidence