Managing agentic AI in manufacturing requires governance built on three principles: centralized control, open standards, and traceable data infrastructure. Peter Sorowka, CEO of Cybus, outlines how manufacturers in regulated sectors like pharma and energy can address interoperability, prevent agent sprawl, and track success beyond ROI.How Can Regulations Keep Up With Agentic AI?Risk-based regulatory frameworks are […]
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Last year marked the hottest ever recorded on Earth. In the United States alone, 27 separate billion-dollar disasters disrupted communities—wildfires, floods, hurricanes, and heatwaves that overwhelmed emergency systems and municipal budgets. Globally, disaster experts now estimate that if current trends continue, the planet could face up to 560 major disasters each year by 2030, compounding the $4.3 […]
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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 analysis, transparent reasoning, and drift-aware model governance across OT and IT systems.Here are the key takeaways and what they […]
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The race in CNC machining is no longer about who has the fastest spindle—it’s about who can validate reality before cutting metal. Across global manufacturing, digital twin technology is emerging as a quiet disruptor, letting engineers simulate machines, verify programs, and train workers in a zero-risk environment.As Siemens’ Dave Morley explained during CXO Insights, digital twins are […]
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AI agents in manufacturing can now negotiate trade-offs between energy use, uptime, and quality in real time, without human intervention. According to Technology Advisor Omid Givehchi of ATELIC, this approach, called intelligent autonomy, keeps humans in command while AI handles continuous KPI balancing at the edge, where production data is generated.That’s starting to change.A new […]
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Time-series data is manufacturing’s most underused asset. Every machine produces continuous signals: vibration signatures, torque readings, and temperature curves. These signals can reveal what will happen, including what happened. Yet most plants aggregate this data into averages, store it in silos, or discard it entirely, losing the granularity that predictive models depend on.Yet most plants […]
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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 before grid instability hits. The shift is from describing what happened to deciding what to do next.This shift is […]
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As November 2025 unfolds, a dynamic lineup of Industrial IoT, manufacturing, and cybersecurity events is set to inspire innovation and collaboration across the global industrial landscape. From automation and smart manufacturing to AI, GxP compliance, and OT security, these gatherings bring together industry leaders, engineers, and technology visionaries driving the next wave of digital transformation. […]
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Finland consistently ranks among the world’s top innovation economies, and its industrial sector offers a compelling blueprint for manufacturers seeking to combine productivity with sustainability. In this IIoT World deep dive, we explore the policies, technologies, and collaborative models that power Finland’s innovation engine, from advanced paper and pulp automation to cutting-edge battery technology and […]
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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 are the primary barriers stopping autonomous AI agents from acting reliably on the factory floor.Should Agentic AI Use a […]
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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 […]
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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 […]
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