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Real-World AI Use Cases and Pitfalls

Moving AI from pilot to production takes more than great technology. Learn why leadership, governance, and iteration determine which projects actually scale.

Highlights

Highlights

Pilot Success Isn't Enough

A successful pilot is only the beginning—real value comes when AI survives the realities of production, adoption, and scale.

Leadership Drives Adoption

AI initiatives don't fail because of technology alone. Clear ownership, executive support, and change management are what move projects forward.

Start Small, Scale Smart

The most successful AI programs begin with focused use cases, measurable outcomes, and continuous iteration—not ambitious moonshots.

Trust Requires Guardrails

Strong governance, quality data, and human oversight aren't barriers to AI—they're what make it reliable enough to scale.

WATCH RECORDING

Featured Speakers

Todd Simpson

Senior VP, Innovation, Services & Technology

Nicholas Pappas

Data, AI - Principal Architect, Quadbridge

Mohamed Sabri

CEO & President, Rocket Science

Dave Collier

VP of Technology, Anthem Music Group

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