DataFramed
#233 Generative AI at EY with John Thompson, Head of AI at EY
Aug 8, 2024
In this insightful discussion, John Thompson, the Head of AI at EY, delves into the intricate balance between generative AI's potential and the pressing need for data privacy. He highlights how EY navigates the challenges of adopting AI while safeguarding sensitive information. Key topics include the innovative use of AI for decision-making and the implications of their internal data policies. John also shares perspectives on industry trends and practical strategies for successfully implementing AI in large organizations.
40:03
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Quick takeaways
- Implementing generative AI at EY necessitates balancing privacy and productivity by creating a secure environment and limiting logging features.
- Generative AI is transforming workflows by enabling faster access to information, though true productivity metrics are still challenging to quantify.
Deep dives
Adopting Generative AI in a Regulated Environment
Implementing generative AI within a highly regulated organization like EY requires a strategic approach to address privacy and security concerns. John Thompson, the head of AI at EY, highlighted the challenges faced when integrating AI technologies into the workflow of 420,000 employees. The focus was on ensuring that sensitive data could not be compromised while allowing employees to benefit from productivity gains. This involved creating a secure Azure environment and disabling logging features that could expose client information, illustrating the balance between risk management and innovation.
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