35 min

EP 2 — Covestro's Nils Janus on Pioneering AI Strategies in Industrial Manufacturing The Chief AI Officer Show

    • Technology

In this new episode of The Chief AI Officer Show, Benjamin speaks with Nils Janus, Chief AI Officer at Covestro, who dives deep into the integration of AI into industrial manufacturing. Nils discusses the current state of AI, challenges faced in balancing automation with the need for human eyes and hands on certain points of the process, and the strategic steps for AI implementation.

He explains the three-stage framework and hybrid approach that have helped Covestro to leverage AI effectively. Nils also reflects on the importance of transitioning human-system interactions to human-AI interactions, aiming to enhance efficiency and decision-making processes.

Topics discussed:

- The integration of artificial intelligence (AI) in industrial manufacturing at Covestro.
- The current state of AI and its application in complex areas like industrial manufacturing.
- The push to transition from human-system interactions to human-AI interactions for enhanced efficiency.
- Balancing autonomy with decision support in AI implementation: knowing when which one will be more effective.
- Why Nils considers AI as a combination of machine learning and autonomy.
- The similarities of consideration of governance principles in AI integration to human intelligence governance.

In this new episode of The Chief AI Officer Show, Benjamin speaks with Nils Janus, Chief AI Officer at Covestro, who dives deep into the integration of AI into industrial manufacturing. Nils discusses the current state of AI, challenges faced in balancing automation with the need for human eyes and hands on certain points of the process, and the strategic steps for AI implementation.

He explains the three-stage framework and hybrid approach that have helped Covestro to leverage AI effectively. Nils also reflects on the importance of transitioning human-system interactions to human-AI interactions, aiming to enhance efficiency and decision-making processes.

Topics discussed:

- The integration of artificial intelligence (AI) in industrial manufacturing at Covestro.
- The current state of AI and its application in complex areas like industrial manufacturing.
- The push to transition from human-system interactions to human-AI interactions for enhanced efficiency.
- Balancing autonomy with decision support in AI implementation: knowing when which one will be more effective.
- Why Nils considers AI as a combination of machine learning and autonomy.
- The similarities of consideration of governance principles in AI integration to human intelligence governance.

35 min

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