Reverse engineering: Unlocking value from legacy assets
· Connected Industry

Reverse engineering: Unlocking value from legacy assets

Reverse engineering, combined with 3D scanning and IoT sensors, gives manufacturers a direct path from missing design drawings to predictive asset management. When original blueprints are lost or outdated, advanced scanning captures precise part geometry and creates a CAD model that feeds into real-time monitoring, lifecycle tracking, and on-demand part fabrication.How do you maintain, repair, […]

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Power Electronics and the Role of Silicon Carbide in the Energy Transition
· Energy

Power Electronics and the Role of Silicon Carbide in the Energy Transition

Silicon Carbide (SiC) is a wide-bandgap semiconductor that operates at higher voltages and temperatures than conventional silicon, with far lower energy losses. According to Infineon’s Peter, SiC is now actively deployed in electric vehicles, renewable energy inverters, and industrial power systems, where every efficiency gain scales into major savings across grids and charging networks. Peter […]

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Agentic AI in manufacturing does not need to begin with a moonshot
· Hybrid Manufacturing

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 read, such as HMI views, SCADA trends, shift notes, and SOPs, and provide guidance in advisory mode from day […]

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How Much Prep Work Do Trusted AI Agents Really Need on the Factory Floor?
· Hybrid Manufacturing

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 by Cybus and Infinite Uptime, operators need agents that surface timely, actionable recommendations inside their existing HMI, SCADA, and […]

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Digital Transformation for Manufacturers: Why Small Firms Can’t Wait
· Hybrid Manufacturing

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 on lean basics, using existing data, and starting with quick, visible wins before scaling to new technology.In a recent […]

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Who Should Own an AI Pilot in Manufacturing?
· Hybrid Manufacturing

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. IT and Quality are partners, not owners. This structure, presented at AI Frontiers 2025, turns AI from a science […]

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From Paper to Pixels: Why Sheet Metal Fabrication Needs a Digital Traveller
· Discrete Manufacturing

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, create visibility gaps for managers, and slow defect response. Digital travellers fix all three problems by connecting operators directly […]

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Can SMEs Afford Agentic AI?
· Hybrid Manufacturing

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 & Sullivan confirmed this. AstraZeneca cut AI model build time from three months to one. The same principles scale […]

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From Industrial Automation to Industrial Autonomy: Yokogawa’s IA2IA Journey
· Smart Manufacturing

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 follow strict rules, but when something changes or goes wrong, human operators step in. That intervention takes time, adds cost, […]

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A Complete Maintenance Team Made of AI Agents — and Why It Changes Everything
· Predictive Maintenance

A Complete Maintenance Team Made of AI Agents — and Why It Changes Everything

How a coordinated team of AI agents tackles everyday pain points across planning, scheduling, reliability, and feedbackAI in maintenance isn’t always about robots taking decisions or futuristic predictions. AI can also take on a very practical role in maintenance: acting as a full maintenance team of AI agents that quietly handles the everyday points of […]

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Agentic AI in Manufacturing: Best Practices for Quality, Speed, and Safety
· Hybrid Manufacturing

Agentic AI in Manufacturing: Best Practices for Quality, Speed, and Safety

Answering the audience’s questionsAt 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 product quality and decision-making speed while minimizing operational risk, especially in highly regulated or safety-critical industries?”A panel of industry leaders—including Andrew Scheuermann, […]

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GenAI in Manufacturing: Start with Data Quality, Governance, and Quick Wins
· Hybrid Manufacturing

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 older systems, training teams, or meeting regulatory requirements? And how can they set priorities to get quick results while […]

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