EY is collaborating with NVIDIA and different companions on bodily AI. Supply: EY
EY, the gathering of corporations underneath Ernst & Younger International Ltd., is called a consultancy, and it’s shifting into bodily AI and robotics. The corporate right this moment mentioned it’s including a deal with the potential of synthetic intelligence with a brand new platform and options, a management appointment, and a brand new laboratory.
Earlier than robotics and AI can advance collectively, organizations should have the suitable knowledge, mentioned Joe Depa, EY international chief innovation officer.
“An amazing quantity of knowledge is required to simulate bodily AI in an surroundings earlier than a robotic is launched,” he instructed The Robotic Report. “And there are a number of widespread challenges when utilizing knowledge for bodily AI: knowledge high quality, accessibility, and knowledge shortage. When you don’t handle these knowledge challenges, your robots received’t work.”
“There is no such thing as a bodily AI with out AI-ready knowledge. A meal is just nearly as good as its components,” mentioned Depa. “AI-ready knowledge should be dependable, accessible, and scalable. It ought to be seen with correct context and consistency. The info should be trusted and safe, so it’s essential for organizations to prime their knowledge for efficient bodily AI use at scale, together with knowledge administration and AI governance.”
“Information stays each the lifeblood and a bottleneck for organizations,” he added. “Information is a subject we all know properly. EY processes greater than 1 trillion traces of economic knowledge yearly, together with 50% of Fortune 500 knowledge units. And it has a 1.6TB+ weekly quantity of AI-ready knowledge merchandise for consumer use.”
Bodily AI platform to cowl whole utility lifecycle
EY mentioned its new bodily AI platform was developed with NVIDIA Omniverse libraries, NVIDIA Isaac, and NVIDIA AI Enterprise software program. It’s supposed to supply a structured strategy to implementing and managing AI methods executed by robots, drones, good edge gadgets, and extra.
The London-based firm additionally plans to combine NVIDIA Isaac’s open fashions, simulation, and studying frameworks to assist purchasers to develop and validate AI-driven robots in real looking 3D environments. “NVIDIA AI Enterprise gives a safe, scalable, and high-performance basis for using superior AI workloads,” it famous.
The platform will deal with three foundational components, in accordance with EY:
- AI-ready knowledge: It’s going to generate artificial knowledge to simulate the multitude of situations for bodily AI.
- Digital twin creation and robotics simulation and coaching with Omniverse: The platform will use NVIDIA applied sciences to bridge the digital and bodily worlds, offering real-time insights, monitoring efficiency, and facilitating operational continuity.
- Accountable bodily AI: EY mentioned it’ll implement sturdy “guardrails” for security, ethics, and resilience throughout operations.
What does “accountable bodily AI” imply?
“First, let’s be clear: EY shouldn’t be within the enterprise of producing robots,” Depa replied. “For us, it’s about how we use knowledge in a accountable solution to allow bodily AI. This contains simulation of the bodily AI to make sure they’re examined appropriately in addition to enabling attestation providers for the compliance and regulatory parts which are required for a lot of bodily AI options.”
“To assist advance accountability, we’re creating digital twins for modeling, testing, and optimizing bodily methods earlier than deploying them into the true world,” he added. “We’re decreasing threat and accelerating time to worth for our purchasers. We additionally established the EY.ai International AI Advisory Council to information our accountable AI technique and adapt to the quickly evolving bodily AI panorama.”
“Our current ‘Accountable AI Survey‘ discovered that nearly each firm surveyed — 99% — reported monetary losses from AI-related dangers, and 64% skilled losses exceeding $1 million,” famous Depa. “On the identical time, solely 12% of C-suite executives have been capable of appropriately match the suitable management to particular AI dangers, and organizations with fewer accountable AI controls in place reported even greater monetary losses.”
EY mentioned its providing will use parts to embody all the lifecycle of bodily AI functions, from technique and security to design, implementation, and upkeep.
“Bodily AI is reworking how companies throughout sectors function and assist create worth, from enhanced automation and higher effectivity to considerably serving to cut back operational prices,” mentioned Raj Sharma, EY international managing accomplice for development and innovation.
EY discovered that corporations adopting AI are beginning to reap advantages. Supply: EY
Analysis veteran appointed international bodily AI chief
Dr. Youngjun Choi is the brand new EY international bodily AI chief, efficient instantly. The corporate mentioned he’ll oversee the next-generation robotics and bodily AI workstream and place EY as a trusted advisor on this area.
“Choi brings almost twenty years of expertise working carefully with executives and trade leaders to advance new options, foster strategic partnerships and assist speed up development,” mentioned EY.
Youngjun Choi, EY. Supply: LinkedIn
He beforehand led the usRobotics AI Lab, the place he oversaw pioneering tasks to remodel the group’s legacy community by adopting superior robotics, digital twins, and AI.
Choi has additionally served as a analysis college member in aerospace engineering on the Georgia Institute of Know-how, the place he contributed to developments in aerial robotics and autonomous methods.
Choi will lead the newly opened EY.ai Lab, which will help purchasers easily combine AI into bodily environments.
“We’re creating the subsequent era of EY expertise by a hands-on bodily AI sandbox the place our individuals can experiment with cutting-edge robotics and AI applied sciences,” mentioned Depa. “Dr. Choi’s precedence is to speed up all the bodily AI journey for our purchasers — from early training and immersive demonstrations to constructing digital twins, producing artificial knowledge, and driving actual trade use circumstances.”
EY.ai Lab builds on NVIDIA collaboration
The brand new EY.ai Lab is in within the U.S. expertise hub of Alpharetta, Ga. Whereas it’s a part of a rising international community of EY websites that includes work with bodily AI, the corporate claimed that it’s the first one that’s absolutely devoted to this rising expertise.
EY mentioned its lab is provided with modern robotics, sensors, and simulation capabilities, offering organizations an surroundings to quickly prototype, check, and deploy scalable bodily AI methods. The analysis and growth facility permits companions and purchasers to:
- Design and simulate bodily AI methods in a digital testbed to validate monetary viability and operational feasibility by complete “What if?” simulations
- Develop robots throughout numerous kind components together with humanoids, quadrupeds, and different next-generation platforms
- Enhance logistics, manufacturing, and upkeep workflows by digital twins
This growth builds upon ongoing EY and NVIDIA collaborations, together with the agentic AI platform launched earlier this yr. The companions will look to additional broaden bodily AI choices to supply capabilities for brand spanking new industries resembling shopper, power, healthcare, mobility, and good cities. In addition they mentioned they hope to drive sustainability by clever automation that reduces waste and environmental influence.
“Enterprises are bringing robotics and automation into the true world to adapt to shifting demographics and enhance security for individuals working in factories and different industrial services,” mentioned John Fanelli, vice chairman for enterprise AI software program at NVIDIA. “The EY.ai Lab accelerated by NVIDIA AI infrastructure and software program helps organizations simulate, optimize, and safely deploy robotics functions at enterprise scale, accelerating the subsequent section of the AI industrial revolution.”
