Industrial Systems Engineering in the New Era of AI Ep. 4: From Industrial DataOps to AI Agents – The Context Engineering Imperative

Digital Transformation Viewpoints

In the first three episodes of this series, we rediscovered our industry’s foundational challenges, tracked the rise of what ARC calls the Industrial Data Fabric, and highlighted the domain-specific innovators driving much of the momentum. This journey has established the critical need for clean, organized, and AI-ready data as the bedrock for future innovation.

Now, we take the next logical step. In this fourth episode, we explore how all that AI-ready data gets activated. How do we move from data foundations to the new wave of reliable, agentic AI solutions? As I teased in my recent blog, Industrial AI Needs Context Engineers, NOT Prompt Engineers, this transition requires a deliberate and structured approach.

I was thrilled to welcome Vatsal Shah, co-founder and CEO of Litmus Automation, to discuss this critical link. Vatsal's journey from a hands-on industrial automation engineer frustrated by integrating systems from Rockwell, Siemens, and Yokogawa to founding a company at the heart of Industrial DataOps provides a unique and pragmatic perspective on what it takes to succeed.

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