Smart Manufacturing
Agentic AI and IIoT: Complex Questions and Expert Perspectives
At AI Frontiers, the panel on Agentic AI & Integrated Data Workflows generated more questions than could be answered live. To continue the discussion, Andrew Scheuermann, CEO of Arch Systems, recorded a series of short video…
Can the Asset Administrative Shell Make Factory Data AI-Ready?
The Asset Administrative Shell (AAS) is a structured digital envelope around a factory asset that defines its signals, units, data lineage, and access rules. According to the AI Frontiers 2025 panel on smart manufacturing data, AAS…
Agentic AI in manufacturing does not need to begin with a moonshot
Agentic AI in manufacturing does not require a multiyear overhaul to deliver value. According to Arch Systems, the fastest path is to start at the human-machine interface (HMI): let the AI assistant read what operators already…
How Much Prep Work Do Trusted AI Agents Really Need on the Factory Floor?
Deploying trusted AI agents in manufacturing requires the majority of effort in data integration, context modeling, and governance before any model runs. According to the "Agentic AI in Manufacturing: From Copilots to Autonomous Systems" panel, sponsored…
Digital Transformation for Manufacturers: Why Small Firms Can’t Wait
According to the SBA, nearly 98% of all U.S. manufacturers are small businesses. For them, digital transformation is a survival issue. Peggy Gulick, Principal at intelliShift LLC, states that small manufacturers must act now by building…
Who Should Own an AI Pilot in Manufacturing?
The business owner of an AI pilot in manufacturing should be the line-of-business leader with Profit and Loss accountability over the KPI the pilot targets. The executive sponsor should be the VP or Director of Operations.…
From Paper to Pixels: Why Sheet Metal Fabrication Needs a Digital Traveller
A digital traveller is a mobile, real-time replacement for the paper job packets that guide parts through cutting, bending, and finishing in sheet metal fabrication. Paper travellers go out of date the moment a job changes,…
Can SMEs Afford Agentic AI?
SMEs can afford agentic AI when they deploy it with discipline and focus on ROI at every step. At the AI Frontiers 2025 session organized by IIoT World, panelists from AstraZeneca, Cybus, Infinite Uptime, and Frost…
From Industrial Automation to Industrial Autonomy: Yokogawa’s IA2IA Journey
Industrial Autonomy (IA2IA) is Yokogawa's framework for moving plants beyond predefined automation rules. Nick Clark, a Yokogawa representative, describes IA2IA as applying AI, robotics, and advanced integration so industrial systems identify issues, make adjustments, and keep…
Agentic AI in Manufacturing: Best Practices for Quality, Speed, and Safety
Agentic AI in manufacturing improves product quality and decision-making speed only when introduced with strong data foundations, layered governance, and human-in-the-loop oversight. At the AI Frontiers 2025 event, leaders from Arch Systems, ZF Group, CESMII, and…
GenAI in Manufacturing: Start with Data Quality, Governance, and Quick Wins
Manufacturers implementing GenAI should start with data quality at the source, wrap it with governance covering ownership, lineage, and access, and then win early with one high-value use case. That sequence, drawn from the AI Frontiers…
Prescriptive AI That Respects Reality: Recommendations You Can Actually Execute
Prescriptive AI in manufacturing delivers specific fault diagnoses, severity ratings, and ready-to-execute maintenance plans constrained by real inventory, crew availability, and production schedules. According to Raunak Bhinge, founder of Infinite Uptime, speed matters, but doability matters…