Closing the 95% Gap: A Strategic Blueprint for Turning AI Pilots into Production Success

C-suite leaders agree: scaling AI to create business value is a top priority. Yet, despite widespread experimentation, a critical "GenAI Divide" is emerging. Research shows that a staggering 95% of custom enterprise AI tools fail to reach production, stalled by brittle workflows and a lack of contextual learning. The sharpest point of failure isn't the model itself—it's the data.

This strategic panel discussion will go beyond the hype to address the core challenges sinking AI programs. We will move past the frustration of a 95% failure rate to present a blueprint for a resilient data foundation that can unlock enterprise-wide innovation.

Learn how to overcome the two critical hurdles to scaling AI:

• Failure to Innovate: Break free from endless rework and compliance delays that quash innovation. Learn how to create a data framework that frees your teams to build reusable, use-case agnostic solutions that truly matter.
• Failure to Scale: Confront the risk concerns and cost overruns that choke off progress. Discover how to create a stable, future-proof data environment that ensures solutions are consistent and secure from prototype to production.

Executives are seeking lasting solutions, not science projects. This is a strategic imperative for every chief data officer.