What challenges arise scaling AI from pilot to enterprise?

Mike Hogan

Senior Managing Director and Chief Information Officer · Pennymac

Governance and Ownership

Mike Hogan says the trouble is ownership and governance: teams built duplicate agents with no clear owners, review backlogs piled up, and he doesn't think anyone in the industry has solved how to govern and control it.

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Jim Scharf

Chief Technology Officer · Mongodb

Cost

Jim Scharf lists cost among the challenges of scaling AI, saying that managing cost is one of the things peers are wrestling with and calling cost a particularly interesting angle.

The answer starts at 21:51.

Paul McDonagh-Smith

Visiting Senior Lecturer (IT Group and Executive Education) · Mit Sloan School Of Management

Organizational Structure

Paul McDonagh-Smith says the key challenge is organizational structure, arguing that hardly any of the difficulty is a technology problem and it instead has to do with organizational structure in many dimensions.

The answer starts at 21:44.

Sam Pierson

Chief Technology Officer · Qlik

Data Reliability

Sam Pierson says the core part is having reliable, clean data you can trust and make decisions on, because without it you get hallucinations and wrong data.

Muralidhar Vemulapalli

Chief Enterprise Architect/ Acting CTO · Arkansas Blue Cross And Blue Shield

Operational Deployment

Muralidhar Vemulapalli says the primary barrier to AI impact in health plans is operational deployment, not algorithmic capability, since models can look good on paper but be useless without a business sponsor tying them to a workflow or decision point.

Kevin Lee

Chief Technology Officer & Key Pursuits Leader · Nice

Compliance and Governance

Kevin Lee says compliance and governance are key challenges, because highly regulated industries always have compliance requirements and the best organizations lean into them.