Seventy-two percent of manufacturers have adopted AI in some form, but only 10% have deployed it at scale, according to Parsec's 2026 State of the Manufacturing Industry Report. The governance gap is even wider: Grant Thornton's…
An AI model that works at one factory runs on known data, connects to a handful of systems, and depends on one team that controls the scope. Scaling that same model to 20 factories exposes every…
When an AI agent recommends a process change on a pharmaceutical production line, the recommendation itself is secondary. The defensible record of how the agent reached that recommendation is the product. At the Industrial AI Summit…
Agentic AI platforms are reshaping security operations in corporate IT environments where speed is the primary design goal. Critical infrastructure operates under different constraints. NERC CIP-007, IEC 62443-2-3, and NIST SP 800-82 all require documented human…
The Stellantis plant in Goiana, Pernambuco, developed a scalable industrial data architecture that now supports more than thirty AI applications. Building on its existing Siemens infrastructure, the team standardized how industrial data is collected, contextualized, and…
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…
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 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 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…
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…
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…
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…