Is Agentic AI an OT Insider Threat?
Agentic AI in operational technology acts with its own authority at machine speed, inside environments where a wrong decision moves a valve or opens a breaker. At the Industrial AI Summit 2026, Ian Bramson, VP of…
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Outcome as a Service for Manufacturing
The Rolls-Royce engine on most commercial aircraft is not owned by the airline. It is rented by air miles flown. Siemens won a train contract by guaranteeing it could move one million passengers between Cologne and…
What AI Must Prove Before Operators Act
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…
Why AI Data Architecture Breaks at Scale
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…
Why Pharma AI Must Pass ALCOA
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…
Why Autonomous AI Fails in OT Security
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…
Beyond PLC Data: An Architecture for Industrial AI
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…
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…
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…
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,…