David Wendt

As AI adoption accelerates, enterprises must establish strong governance frameworks that enable innovation while mitigating risks and ensuring ethical responsibility. This panel will explore how organizations can foster cross-functional collaboration to create governance strategies that align with regulatory requirements, business objectives, and user expectations.

• Defining AI governance frameworks and policies for your enterprise
• Engaging cross-functional risk, compliance, and technical teams for effective oversight.
• Implementing AI risk management strategies without stifling innovation.

As enterprises seek to scale Generative AI solutions, achieving true value demands a balance of robust governance, strategic investment, and clear ROI measurement. This session explores how to establish enterprise-wide AI assets, supported by a robust infrastructure with governance at the core. Elevating the business value of Generative AI while addressing the critical challenge of measuring efficiencies and mapping desired outcomes to infrastructure requirements.

• Building governance frameworks to support scalable enterprise AI assets.
• Mapping infrastructure investment against core metrics to demonstrate a clear ROI
• Practical methods to measure the value of AI-driven efficiencies in workflows.