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How to scale physical AI from pilot to production

In this webcast, industry leaders discuss the significant impact of physical AI. The challenge is no longer proving physical AI can work. It's scaling it effectively from pilot to production.

Many organizations see significant potential in physical AI, but moving from exploration and pilot programs to scaled deployment remains a challenge. Join industry leaders as they discuss how they are moving from experimentation to enterprise-wide deployment across logistics operations.
 
The conversation will explore the use cases delivering the greatest business impact, lessons learned from implementation, common obstacles to scaling, and the economics and ROI that are helping organizations build the case for broader adoption.

Participants will:

  • Determine where physical AI can create the greatest value across logistics operations.
  • Learn how to move from pilot programs to successful production deployments.
  • Understand the organizational, technology and data foundations required for scale.
  • Assess the economic drivers, ROI metrics and business outcomes that justify investment.
  • Learn how EY and NVIDIA help enterprises move beyond pilots — turning simulation into safe, scalable real-world operations.

Moderator:

Al Mendoza, EY Americas Supply Chain and Operations Leader

Panelists:

  • Dave Tokic, VP of Corporate Development, Torc
  • Vitaly M. Golomb, Managing Partner, Mavka Capital

This webcast is part of the Physical AI with NVIDIA webcast series, providing practical insights and real-world use cases to help leaders accelerate adoption and scale physical AI with confidence. Explore and register for the related sessions below.

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Physical AI with NVIDIA webcast series

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