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Paul Viorel

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Standards and Controls for AI in Operational Technology

No single standard covers AI in manufacturing, and if one phishing click can reach OT, the architecture is already broken. Gary Tillery of Skkynet and Matt Morris of EverLine answer audience questions on the specific standards…

Governing AI Agents in Operational Technology Cybersecurity

Boards make OT risk decisions they do not know they are making. AI agents change behavior with every model upgrade and carry no personal accountability. The most likely AI failure in OT involves no adversary, just…

How to Classify Risk in Industrial AI

How should a manufacturer decide whether an AI use case carries acceptable risk before deployment? Benson Chan of Strategy of Things answers an audience question on risk classification with a four-quadrant framework that maps decision severity…

How Industrial AI Earns Production Trust

How should manufacturers maintain AI consistency across a global factory network? When a model update resets the trust operators have built, do you interrupt automation to re-validate? Sanjay Mahato of Amazon Web Services and Tauseef Ahmed…

Why Predictive Maintenance Lost Its Top Spot

Most predictive maintenance implementations stopped at anomaly detection, flagging that something seemed wrong without identifying what or when. Boris Scharinger of Siemens, author of Industrial AI: From Pilot to Profit, and Karthikeyan Natarajan of Infinite Uptime…

Scaling AI Past the Pilot Stage

Neil Smith of Schneider Electric and Andrew Waycott of TwinThread answer six audience questions on building the CFO business case for industrial AI, data readiness, OEM-operator data sharing, industry-specific adoption barriers, cybersecurity safeguards, and the organizational…

The Human Side of Industrial AI

Who owns the failure when an AI system acts without a human in the loop? How do manufacturers overcome workforce resistance that 25.7% of CPG companies cite as a barrier to AI scaling? Neil Smith of…

Edge AI, LLMs, and Digital Twins in Production

Should manufacturers run domain-specific small language models at the edge? Where do LLMs add value in manufacturing production planning? Can you test AI on a digital twin before production? Neil Smith of Schneider Electric and Andrew…

Edge Security and Lab-to-Factory AI

How should the edge be designed for security when AI applications interact with industrial control systems? Should university-industry projects follow product implementation discipline? Denis Leite, Director of Digital Transformation at Mekatronik, answers these audience questions from…

Why Factory Data Never Reaches AI

Manufacturers have spent ten to twenty years installing sensors and connecting machines. The data flows, but it rarely reaches AI. At the Industrial AI Summit 2026, Jonathan Alexander of Albemarle Corporation, Peter Sorowka of Cybus, and…

What Plants Need for Prescriptive AI

Prescriptive AI tells plant operators which component to replace, which maintenance action to take, and when. Boris Scharinger, author of Industrial AI: From Pilot to Profit and R&D Excellence, DataOps and Master Data Management at Siemens,…

Should Pharma Build or Buy Explainable AI?

Should pharma build or buy AI explainability? Can you prove a source document was not altered? How do human reviewers keep up with AI output? Adam Procopio of Merck and Kristen Sauter of Adlib Software address…