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The AI in Business Podcast
Bringing Trust and Guardrails into Developing Enterprise AI Systems - with Steve Jones of Capgemini
Sep 25, 2024
38:26
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Steve Jones, Executive Vice President of Data Driven Business & GenAI at Capgemini, dives into the pressing need for trust and ethical guidelines in AI development. He discusses the shift from experimental AI to its integration in enterprises. Key topics include the evolving skills required for programming in the age of AI, the role of synthetic data in real-time decision-making, and the importance of data governance. Steve highlights how robust frameworks are critical for navigating compliance and aligning AI with organizational goals.
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Quick takeaways
- The integration of AI within organizations necessitates accurate data governance and a hybrid intelligence approach among employees to navigate operational complexities.
- Establishing dedicated departments for AI compliance and creating effective guardrails is crucial for building trust and managing risks in enterprise AI systems.
Deep dives
The Evolution of AI: From Niche to Systematic Adoption
The current state of AI development is compared to the early days of the internet, where technology and language are rapidly evolving. There is a notable shift from AI being viewed as a niche tool to its embrace as a systemic component within organizations. This transformation requires a focus on accurate, real-time data, as well as robust data governance processes. The dialogue suggests that as organizations move towards larger AI integrations, they must confront the complexities involved in reliable implementation across various operational levels.
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Discover
highlights
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