Hybrid AI Combining Simulation & Data Analytics

François Deheeger, Senior Fellow AI & Data Science at Michelin

Series 3 Episode 3:

In this episode, Lang and Deheeger discuss how more domain experts in engineering, data science, manufacturing, and more are now working in hands-on AI roles. They also discuss how to achieve both short- and long-term successes, how to upskill employees to work with AI and data, and how to embed data- and AI-driven insights into product development cycles from start to finish.

During this episode, we discuss:
  • The emergence of AI managers and directors with domain expertise in engineering, manufacturing, data science, and more
  • How to upskill employees skillsets in informative, engaging ways
  • How to implement data- and AI-driven feedback loops to create end-to-end product development cycles

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Additional Resources

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