What's New In Data
Causal Artificial Intelligence, potential AI pitfalls, getting executive buy-in
Nov 15, 2023
John K Thompson, co-author of "Causal Artificial Intelligence" and Global Head of AI at EY, shares insights from his extensive career in the field. He delves into the evolution of AI, emphasizing the importance of integrating various AI types for strategic decision-making. John discusses building scalable generative AI infrastructure and identifies common pitfalls, including the need for executive support. He highlights the dangers of a 'set and forget' approach and stresses the importance of collaborative ownership in AI deployment to align with business objectives.
32:53
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Quick takeaways
- Causal AI provides a deeper understanding of data outcomes by identifying underlying reasons, crucial for effective business decision-making.
- Securing executive buy-in and fostering a supportive organizational culture are essential for the successful deployment of AI initiatives.
Deep dives
John K. Thompson's Career and Expertise
John K. Thompson has dedicated 37 years of his career to data and analytics, emphasizing his belief that understanding data is crucial for business efficiency. His extensive experience includes developing the first neural network utility at IBM and leading the AI group at CSL Bearing, a major biopharmaceutical company. Thompson's dual perspective as both a technology builder and practitioner enhances his insights into using data effectively in various industries. His passion for innovation drives him to continually seek advancements in data analytics, including the emerging field of causal AI.
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