From Predictive to Proactive: Key Takeaways from Cognite’s Impact 2025
How Industrial AI Is Transforming Operations, Workforce, and Decision-Making at ScaleCognite’s Impact 2025 made one thing clear: the era of reactive operations is over. Across both days, the narrative centered on proactive intelligence, powered by industrial…
Building Trust in Autonomous AI for High-Stakes Manufacturing
At AI Frontiers 2025, the “Agentic AI in Manufacturing: From Copilots to Autonomous Systems” panel outlined five strategies for building operator and executive trust in autonomous AI across high-stakes factory environments where even minutes of unplanned…
Embedding AI Agents Into Industrial Data Pipelines: What Manufacturers Should Watch
AI agents embedded directly inside industrial data pipelines, rather than layered on top as analytics, are now operationally viable for manufacturers. At Cognite’s 2025 event, SVP Laxmi Akkaraju outlined how this approach delivers autonomous root cause…
AI in Energy Is Growing Up: From Analytics to Real Operations
AI in energy has moved past dashboards and reports. According to Simon Williams, Chief AI Officer at ATELIC, industrial AI now detects equipment fatigue hours before failure, adjusts production flows automatically, and predicts energy demand shifts…
Building the Data Foundations for Agentic AI in Manufacturing
Agentic AI in manufacturing requires unified, low-latency data access across ERP, MES, and historian systems. According to Peter Sorowka of Cybus GmbH and Sebastian Trolli of Frost & Sullivan, data silos, missing metadata, and inconsistent architectures…
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…
Industrial Copilots: From Assistants to Essential Team Members
Industrial copilots are AI assistants built for manufacturing, designed to collaborate with workers rather than replace them. At a German automotive plant, a deployed copilot retrieves answers from equipment manuals, shift reports, and fault data within…
From Pilot Purgatory to Generative AI: Building Scalable IIoT and Machine Learning in Manufacturing
Most manufacturing organizations experimenting with generative AI never make it past the pilot stage. Many organizations remain stuck in “pilot purgatory”: running isolated projects that never scale across sites.The promise of IIoT and machine learning in…
AI Frontiers 2025: Driving the Next Revolution in Smart Manufacturing
On Wednesday, September 10, 2025, IIoT World will host AI Frontiers 2025: Driving the Next Revolution in Smart Manufacturing, a free online event bringing together global leaders in AI, industrial data, IIoT, and digital transformation.This one-day virtual conference explores…
Securing Agentic AI with Digital Trust
Agentic AI is rapidly moving from research labs into production environments, powering everything from autonomous workflows in supply chains to connected medical devices and industrial automation. Unlike traditional generative AI, which produces outputs based on prompts,…
Before the AI Magic: Why Manufacturing’s Biggest GenAI Problem Is Still Data
Generative AI promises a revolution on the shop floor—faster decision-making, adaptive production, smarter quality control. But ask any manufacturing leader what’s actually slowing things down, and you won’t hear about algorithms. You’ll hear about data.At IIoT…
AI as a Skill Multiplier in Manufacturing, Not a Replacement
The manufacturing skills gap continues to grow. Rather than viewing AI as a wholesale replacement for human labor, forward-thinking manufacturers are deploying it as a skill multiplier , amplifying the expertise of existing workers so that…