Who Should Own an AI Pilot in Manufacturing?
Answering an AI Frontiers 2025 audience questionContext. During AI Frontiers 2025, an attendee asked: Who should be the business owner and senior stakeholder for an AI proof of concept—and how should it be structured for quick wins and long-term…
From Paper to Pixels: Why Sheet Metal Fabrication Needs a Digital Traveller
Walk into many sheet metal shops today, and you’ll still find one of the most critical workflows running on a surprisingly fragile medium: paper. Job travellers, or the packets of instructions that follow a part from…
Can SMEs Afford Agentic AI?
Small and mid-size manufacturers often ask: Is agentic AI truly within our reach, or is it a luxury only global plants can afford? At the “Agentic AI in Manufacturing: From Copilots to Autonomous Systems” session during AI Frontiers…
From Industrial Automation to Industrial Autonomy: Yokogawa’s IA2IA Journey
In the conversation, Nick Clark from Yokogawa laid out what the transition from Industrial Automation to Industrial Autonomy — IA2IA — really means. Industrial automation has long been about predefined processes and protocols. Plants and systems…
Agentic AI in Manufacturing: Best Practices for Quality, Speed, and Safety
Answering the audience’s questions At the AI Frontiers 2025 event, one audience member posed a question that goes to the heart of modern manufacturing challenges: “When introducing agentic AI into domain-specific workflows, what best practices help manufacturers improve…
GenAI in Manufacturing: Start with Data Quality, Governance, and Quick Wins
Answering the AI Frontiers Audience’s Question“Generative AI isn’t just about documents. Factories generate huge amounts of sensor data, but turning that into real value with AI is challenging. What should companies tackle first—improving data quality, linking…
Prescriptive AI That Respects Reality: Recommendations You Can Actually Execute
Midnight on a production line isn’t the time for a generic alert. When a critical asset starts drifting, teams don’t want a chatbot—they need a specific diagnosis and a plan they can run safely, with the…
The Human Side of Smart Manufacturing: People, Partners, and Purpose in IIoT and AI
When we talk about smart manufacturing, the spotlight often falls on technologies—Industrial IoT, machine learning, and generative AI. But behind every breakthrough, there are people making decisions, solving problems, and shaping how these tools are applied.…
Predictive Maintenance with AI: Extending the Life of Industrial Machines
For manufacturers, downtime is costly. Studies show that 82% of industrial asset failures are random, making scheduled maintenance often ineffective. This is where AI-powered predictive maintenance, enabled by IIoT technologies, is changing the way factories care for machines—helping…
Scaling Smart Manufacturing with IIoT, ML, and Generative AI
Talk to any plant manager and you’ll hear the same frustration: too many proofs of concept, not enough results. The real opportunity isn’t running another pilot—it’s building scalable systems that deliver measurable value every day. That’s where Industrial…