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Next in Tech · May 19 · 27 min

Autonomy

The rush to capitalize on agentic capabilities is in full swing in enterprise, but there is caution in operational settings, like industrial control systems. Getting to autonomy in these environments requires a greater consideration in design and implementation and Cody Falcon of ABB joins host Eric Hanselman to continue a conversation that started at CERAWeek to explore the many aspects that should be in consideration. Risk is, of course, much greater in physical systems and AI requires more complex guardrails to manage it. But the greater challenge is in building trust. AI's ability to handle scope and scale can be tremendously valuable in control systems and the ready availability of telemetry and operational data give implementations a solid base to work from. The journey to autonomy is one that has to be built on proven successes. As with any new employee, agents will need to build trust. More S&P Global Content: The CERAWeek conference Next in Tech | Ep. 259: The RSAC Conference – Agents on The Loose AI in action: unleashing agentic potential 2026 Trends in Information Security For S&P Global subscribers: Redefining OT security and ensuring operational continuity in the age of hybrid, AI-driven OT Tech Trend in Focus: Digital twins in the oil and gas industry 2026 Trends in IoT, Edge & Digital Industries Key learnings from the CERAWeek Chief AI Officer Leadership Circle Credits: Host/Author: Eric Hanselman Guest: Cody Falcon, Global Digital Portfolio & Technology Leader, Energy Industries, ABB Producer/Editor: Feranmi Adeoshun Published With Assistance From: Sophie Carr, Kyra Smith, Dylan Scheible

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The rush to capitalize on agentic capabilities is in full swing in enterprise, but there is caution in operational settings, like industrial control systems. Getting to autonomy in these environments requires a greater consideration in design and implementation and Cody Falcon of ABB joins host Eric Hanselman to continue a conversation that started at CERAWeek to explore the many aspects that should be in consideration. Risk is, of course, much greater in physical systems and AI requires more complex guardrails to manage it. But the greater challenge is in building trust.

AI's ability to handle scope and scale can be tremendously valuable in control systems and the ready availability of telemetry and operational data give implementations a solid base to work from. The journey to autonomy is one that has to be built on proven successes. As with any new employee, agents will need to build trust.

More S&P Global Content:

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Credits:

  • Host/Author: Eric Hanselman
  • Guest: Cody Falcon, Global Digital Portfolio & Technology Leader, Energy Industries, ABB
  • Producer/Editor: Feranmi Adeoshun
  • Published With Assistance From: Sophie Carr, Kyra Smith, Dylan Scheible
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