Transforming Business: How EY and NVIDIA Empower Companies to Test and Implement Physical AI Solutions

AI is stepping boldly into the physical realm, and EY is at the forefront, offering businesses a structured pathway to harness the power of robots, drones, and sophisticated smart devices. With the launch of a cutting-edge physical AI platform built on NVIDIA technology, alongside the inauguration of the EY.ai Lab in Georgia, EY is poised to redefine how companies approach AI integration.

A New Era of Physical AI

The foundation of this innovative platform lies in an array of NVIDIA tools including Omniverse libraries, Isaac, and AI Enterprise software. This cohesive setup allows organizations to seamlessly plan, test, and manage AI systems operating in real-world contexts—think factory robots, drones, and smart edge devices.

The Omniverse libraries are instrumental in creating digital twins, enabling businesses to model and test systems prior to implementation. Meanwhile, NVIDIA Isaac provides robust simulation frameworks for designing AI-driven robotics in intricate 3D environments. AI Enterprise serves as the backbone, supporting heavy AI workloads efficiently.

Key Features of the Platform

EY delineates the capabilities of its platform through three core areas:

• AI-ready data: Utilizing synthetic data to simulate a diverse assortment of physical scenarios.
• Digital twins and robotics training: Enhancing connections between digital and physical systems, facilitating real-time performance monitoring, and fostering operational continuity.
• Responsible physical AI: Implementing governance and controls to address safety, ethics, and compliance concerns.

This comprehensive framework is designed to aid all stages, from initial planning to long-term maintenance, across various industries, including energy, health, consumer goods, and manufacturing.

The Transformation of Business Operations

Raj Sharma, EY’s Global Managing Partner for Growth & Innovation, emphasizes that physical AI is already revolutionizing business operations by increasing automation and reducing operational costs. He believes that the synergy between EY’s industry expertise and NVIDIA’s advanced infrastructure will expedite the transition from experimentation to large-scale deployment.

NVIDIA’s John Fanelli adds that as companies increasingly adopt robotics and automation, particularly to adapt to workforce changes, the EY.ai Lab plays a pivotal role. It empowers organizations to “simulate, optimize, and safely deploy robotics applications at enterprise scale,” marking a significant phase in industrial AI.

Leadership and the EY.ai Lab

EY has recently appointed Dr. Youngjun Choi as its Global Physical AI Leader. In this vital role, Dr. Choi will spearhead efforts in robotics and physical AI, drawing on his nearly 20 years of experience in the sector. His previous tenure at the UPS Robotics AI Lab focused on advancing digital twins and AI tools to modernize logistics networks. Dr. Choi also held a research position in Aerospace Engineering at the Georgia Institute of Technology, where he contributed to aerial robotics and autonomous systems.

A major part of Dr. Choi’s mandate encompasses overseeing the newly established EY.ai Lab in Alpharetta, Georgia—the first dedicated space for physical AI at EY. This Lab features cutting-edge robotics systems, sensors, and simulation tools, allowing organizations to prototype ideas before scaling them up.

Joe Depa, EY’s Global Chief Innovation Officer, highlights that clients are increasingly looking for better ways to harness technology for enhanced decision-making and performance. He stresses that building a robust data foundation and establishing trust is crucial for physical AI. With Dr. Choi at the helm, EY teams are now poised to explore deeper possibilities and establish the groundwork for scalable operations.

Empowering Organizations Through Innovation

At the EY.ai Lab, organizations can engage in:

• Designing and testing physical AI systems in a secure virtual environment,
• Creating solutions for various types of robots, from humanoids to quadrupeds,
• Enhancing logistics, manufacturing, and maintenance through the use of digital twins.

This new platform and laboratory build upon previous collaborations between EY and NVIDIA, including the introduction of an AI agent platform earlier this year. The partnership aims to extend physical AI applications into diverse fields such as smart cities, healthcare, and energy management, all while striving for automation solutions that minimize waste and environmental impact.

Embrace the Future with EY and NVIDIA

As we stand on the brink of a transformative era in physical AI, let’s take the leap together. Explore how these innovations can enhance your organization’s operational prowess and embrace the future of technology today!