EY launches physical AI lab & platform with NVIDIA technology
EY has announced the rollout of its new physical AI platform, designed with NVIDIA accelerated computing at its core, as well as the opening of a dedicated EY.ai Lab and the appointment of a new global robotics and physical AI leader. These developments form part of EY's ongoing focus on helping organisations deploy artificial intelligence in physical settings such as robotics, drones, and smart devices.
Technology partnership
The physical AI platform from EY is developed using NVIDIA's Omniverse libraries, NVIDIA Isaac, and NVIDIA AI Enterprise software. This platform is intended to provide a comprehensive structure for organisations to manage AI-driven systems, facilitating a range of activities from digital twin generation and robotics simulation to operational performance monitoring and risk reduction.
By integrating NVIDIA's solutions, EY aims to assist clients in creating precise digital versions of real-world systems. This allows companies to model, test, and refine processes prior to implementation, supporting operational continuity and operational safety. The use of NVIDIA Isaac's frameworks enables clients to develop and test AI-driven robots within realistic simulated environments before deploying them physically.
The platform will focus on three areas: producing AI-ready, synthetic data to model a wide range of scenarios; utilising digital twin creation and simulation to bridge digital and physical systems; and implementing measures to maintain safety, ethics, and compliance during operations.
Industry applications
EY's solutions are tailored for the entire implementation lifecycle of physical AI, spanning from strategy development through maintenance. The platform targets sectors including industrials, energy, consumer, and health industries, with the intention to enhance automation, efficiency, and reduce operational costs.
"Physical AI is transforming how businesses across sectors operate and help create value, from enhanced automation and greater efficiency to significantly helping reduce operational costs. By combining deep EY industry knowledge with NVIDIA AI infrastructure, this new platform is expected to accelerate how EY helps clients orchestrate these developments responsibly and support them to take the leap from experimentation to enterprise-scale deployment." said Raj Sharma, Global Managing Partner - Growth & Innovation, EY.
Research facility
EY has established its EY.ai Lab in Alpharetta, Georgia, which is the organisation's first facility devoted entirely to integrating AI into physical environments. The lab is equipped with advanced robotics, sensors, and simulation systems. It provides businesses with an environment to prototype and test AI solutions across varied form factors, from humanoid robots to autonomous drones, supporting the development of scalable models.
Within this research hub, companies can validate the operational feasibility of AI systems using virtual testbeds, conduct comprehensive scenario planning, and explore improvements in logistics, manufacturing, and maintenance using digital twins.
"Enterprises are bringing robotics and automation into the real world to adapt to shifting demographics and boost safety for people working in factories and other industrial facilities. The EY.ai Lab accelerated by NVIDIA AI infrastructure and software helps organizations simulate, optimize and safely deploy robotics applications at enterprise scale, accelerating the next phase of the AI industrial revolution." said John Fanelli, Vice President, Enterprise AI Software, NVIDIA.
Leadership appointment
EY has appointed Dr. Youngjun Choi as the organisation's Global Robotics and Physical AI Leader. Choi will guide the strategic direction of robotics and physical AI, and will have responsibility for overseeing the company's worldwide workstream in this area, as well as leading the new lab facility.
Choi has held positions both in academia and industry, including managing advanced robotics initiatives for logistics businesses and contributing to aerial robotics and autonomous systems development at Georgia Institute of Technology.
"EY clients are looking for innovative ways to leverage technology for better decision-making and improved business performance. Physical AI is at the forefront of this but requires trusted AI-ready data and must be governed with trust from the outset. With Dr. Choi's deep experience to guide the launch of the new EY.ai Lab, EY teams are starting to get beyond the surface of what is possible and build a true foundation for scalable, enterprise-grade operations that drive positive outcomes in the world of physical AI." said Joe Depa, Global Chief Innovation Officer, EY.