Engineering the AI-Led Enterprise: Building, Implementing, and Measuring What Works

Event description

AI has moved beyond the question of “What is possible?”

The conversation today is about what actually works at enterprise scale.

As organizations move from experimentation to implementation, leaders are navigating a new set of questions: Where should enterprises place their AI bets? What does it take to move successful pilots into production? How should technology, data, engineering, and talent evolve? And ultimately, how do you measure whether AI is creating meaningful business value?

Zinnov, together with HCLTech, is bringing together a select group of 10–12 CXOs, SVPs, VPs, and Directors for a closed-door Executive AI Roundtable in Santa Clara:

Engineering the AI-Led Enterprise: Building, Implementing, and Measuring What Works

Designed as an intimate, peer-led exchange, the session will move beyond presentations and theory to focus on the experiences, challenges, and lessons emerging from real-world AI implementation.

What we’ll explore

• Where are enterprises placing their AI bets?
• Identifying opportunities capable of delivering visible and meaningful returns.
• What does it really take to scale AI?
• Exploring the foundations required across data, engineering, technology, infrastructure, and talent.
• What happens after the pilot?
• Understanding the realities of moving AI initiatives from experimentation into enterprise-wide deployment.
• Where does Physical AI fit?
• Exploring how Physical AI is progressing from pilots toward practical, real-world applications.
• How do you measure AI impact?
• Moving beyond adoption metrics to demonstrate tangible business and enterprise value.

Who should attend

This is an invitation-only discussion designed for senior leaders including CXOs, SVPs, VPs, and Directors responsible for:

AI • Engineering • Technology • Data • Product • Digital Transformation