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 responses tackling some of the toughest questions manufacturers raised. In parallel, Jonathan Wise, Chief Technology Architect at CESMII, shared […]
Read more →
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 can make factory data AI-ready, but only when paired with source-level validation, clear governance, and human oversight.What Is the […]
Read more →
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 When original blueprints are lost or outdated, advanced scanning captures precise part geometry and creates a CAD model that feeds into real-time monitoring, lifecycle tracking, and on-demand part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, […]
Read more →
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 […]
Read more →
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 […]
Read more →
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 […]
Read more →
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 […]
Read more →
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 […]
Read more →
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 […]
Read more →
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 […]
Read more →
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, […]
Read more →
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 […]
Read more →