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.
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question_answer ANECDOTE
EY's GenAI Challenge
EY, with 420,000 employees, needed to implement generative AI safely.
The goal was to balance productivity with strict security and privacy needs.
insights INSIGHT
EY's GenAI Setup
EY built their GenAI environment on Azure OpenAI, prioritizing security.
They turned off logging features to enhance data privacy.
volunteer_activism ADVICE
GenAI Use Cases
Focus on summarizing documents, generating proposals, and understanding pricing with GenAI.
Leverage it for due diligence and various other use cases.
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This book provides a detailed analysis of causality, transforming it from a nebulous concept into a mathematical theory. It applies to various fields such as statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences. Judea Pearl presents simple mathematical tools for studying causal connections and statistical associations, making it a valuable resource for students and professionals in multiple disciplines. The book has led to a paradigmatic change in how causality is treated in several scientific fields and has been cited in over 5,000 scientific publications.
By now, many of us are convinced that generative AI chatbots like ChatGPT are useful at work. However, many executives are rightfully worried about the risks from having business and customer conversations recorded by AI chatbot platforms. Some privacy and security-conscious organizations are going so far as to block these AI platforms completely. For organizations such as EY, a company that derives value from its intellectual property, leaders need to strike a balance between privacy and productivity.
John Thompson runs the department for the ideation, design, development, implementation, & use of innovative Generative AI, Traditional AI, & Causal AI solutions, across all of EY's service lines, operating functions, geographies, & for EY's clients. His team has built the world's largest, secure, private LLM-based chat environment. John also runs the Marketing Sciences consultancy, advising clients on monetization strategies for data. He is the author of four books on data, including "Data for All' and "Causal Artificial Intelligence". Previously, he was the Global Head of AI at CSL Behring, an Adjunct Professor at Lake Forest Graduate School of Management, and an Executive Partner at Gartner.
In the episode, Richie and John explore the adoption of GenAI at EY, data privacy and security, GenAI use cases and productivity improvements, GenAI for decision making, causal AI and synthetic data, industry trends and predictions and much more.
DataFramed 