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In this webcast, panelists discuss the future of physical AI, its impact on industries and strategies for scaling innovation and delivering business value.
Physical AI is already reshaping how organizations operate, enabling machines to sense, decide and act autonomously in the real world. In this webcast, explore the evolution of physical AI, from early automation to today’s intelligent, autonomous systems, and examine the macro trends shaping its rapid advancement. Hear from EY, NVIDIA and industry leaders as they share perspectives on how these trends are expected to evolve, along with the opportunities they unlock and the challenges organizations must navigate.
The discussion also examines how global logistics networks are evolving amid rising complexity, cost pressures and labor constraints.
Learning outcomes:
- Understand the macro trends shaping the future of physical AI.
- Assess the opportunities and challenges of physical AI adoption.
- Explore how operations and logistics leaders are responding to industry pressures.
- Learn from leading physical AI use cases.
- Learn how organizations are deploying robotics, autonomy and AI-driven orchestration.
- Identify strategies for scaling physical AI and delivering business impact.
Keynote speaker and moderator:
Allison Okamura, Richard W. Weiland Professor in the School of Engineering, Stanford University, and Executive Committee member of the Stanford Robotics Center.
Panelists:
- Dan Berman, Senior Director, Global Head Physical AI Sales, NVIDIA
- Al Mendoza, EY Americas Supply Chain and Operations Leader
- Ben Williams, EY Global and US Industrials and Energy Consulting Leader; EY US Chemicals, Oil and Gas Consulting Leader
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.
Physical AI with NVIDIA webcast series
How to scale physical AI from pilot to production
In this webcast, panelists discuss how organizations are deploying physical AI at scale within logistics operations to drive business transformation.
Building the physical AI stack: why ecosystems are key to scale
In this webcast, panelists explore the capabilities, architectures and partnerships that underpin successful physical AI ecosystems. Register now.
How to navigate safety, risk and compliance in physical AI
In this webcast, panelists discuss safety, risk and compliance in physical AI, and the strategies needed to scale with confidence. Register now.