EY launches AI platform and LLM after $1.4 billion investment

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Today professional services leader EY announced the launch of EY.ai, a comprehensive platform to help clients adopt AI. Platform Microsoft (which provided EY early access to Azure OpenAI capabilities such as GPT-3 and GPT-4), alliances with companies such as Dell Technologies, IBM, SAP, ServiceNow, has brought together an AI ecosystem with a range of capabilities. , Thomson Reuters and UiPath.

The company has invested $1.4 billion as a foundation for the platform, including embedding AI into proprietary EY technologies such as EY Fabric – used by 60,000 EY clients and more than 1.5 million unique client users, as well as funding a series of cloud and automation technologies. Following an initial pilot with 4,200 EY technology-focused team members, the acquisition announced, EY will release a secure, large language model called EY.ai EYQ.

EY CTO Weighs in on Gen AI’s ‘Killer Use Cases’

The announcement comes nearly eight months after VentureBeat spoke with EY’s Global Chief Technology Officer, Nicola Morini Bianzino, about the “killer use cases” of generative AI in the enterprise. Bianzino told VentureBeat in January that this would be the impact of generative AI on knowledge management, which he described as “the dialectic of AI”.

“When you think about an organization like ours, we have 360,000 people, we have a lot of tools and capabilities that we’ve built over our 100-plus year history,” he said at the time. “But that knowledge is distributed now, you can’t really touch it; It is the soul of our organization, but it is intangible.” If you systematize it into an ontology and make it part of a technology solution, you can significantly increase enterprise value, he added.


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New AI offerings help provide a ‘treasure map’ for enterprises

In an interview with VentureBeat today, Bianzino said EY’s new proprietary AI offering gives clients a “level of confidence” in AI capabilities appropriate for the enterprise.

“What we want to do with EY.ai is based on numerous interactions and conversations as people begin to understand the potential impact of this technology but ask us, ‘How do you measure future compliance with these solutions?’” he explained. “That’s where we have the ability to help the client develop a valid framework, assess the maturity of the organization, and then offer a roadmap that allows the client to deploy AI with confidence.”

It’s almost a “treasure map” to help enterprise clients navigate — and succeed in — their AI journey, he said.

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