Industrial facilities run on workarounds. Bypassed interlocks, offline sensors, and temporary fixes that have been in place for years are common realities of aging equipment and limited maintenance staff. OT cybersecurity assessments track patch backlogs, CVE remediation SLAs, and network vulnerabilities, but they routinely miss the physical conditions that already exist on the plant floor. […]
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The Stanford Emerging Technology Review (SETR) 2026, published by the Hoover Institution and Stanford School of Engineering, maps ten frontier technologies moving from research into real-world deployment. Five of them are hitting manufacturing operations directly: autonomous AI agents that promise to run multi-step production workflows but keep failing in practice, robotics platforms that still lack […]
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Most manufacturers looking at software-defined automation ask the wrong question first. The question is not “should we replace our hardware PLCs with virtual ones?” At Siemens, the S7-1500 virtual PLC and the hardware PLC share the same components and behave identically as a control layer. The real question is where a virtual PLC actually improves […]
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Standard predictive maintenance was built for steady-state machines. A duty-cycle crane behaves nothing like one, and that mismatch is exactly where the failures hide.The Short VersionA crane is the most consequential moving asset on your floor, and it’s often the one your monitoring system understands least. Battery-sampled predictive maintenance (PdM) sleeps through the moments that […]
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Industrial companies want AI systems that can predict failures, optimize production, reduce energy consumption, and improve operational visibility across facilities. Many already have sensors, connected equipment, cloud platforms, and years of historical operational data.Yet a growing number of manufacturers are discovering the same issue: AI initiatives are advancing faster than industrial data infrastructure.Hugo Vaz, CEO […]
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Monitoring one pump with a vibration sensor and catching a failure two weeks early is straightforward. Doing the same thing across hundreds of assets in multiple plants, with different machine types, different maintenance histories, and different data systems, is where most predictive maintenance programs stall. During a panel at IIoT World’s AI Manufacturing Day 2026, […]
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Manufacturing competition used to center on the mechanical speed of production lines and the efficiency of output. The advantage now belongs to organizations that react to data faster, catching a quality drift, a mechanical failure signal, or a process deviation before it becomes scrap, downtime, or a safety event. Reacting faster, though, requires trusting the […]
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Manufacturing and energy companies collecting sensor data at scale are hitting the same wall: PostgreSQL, SQL Server, Oracle, and MongoDB were not designed for the volume, velocity, and retention demands of industrial time series. Mike Freedman, Co-founder and CTO at Tiger Data, spoke with Lucian Fogoros of IIoT World at Hannover Messe 2026 about what […]
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Only 55% of data and analytics teams rate themselves effective at managing governance policies, the lowest score across 14 capabilities measured in the 2025 Gartner CDAO Agenda Survey. Building analytics solutions scored 85%. The gap shows that governance remains the weakest link in data and artificial intelligence programs, and most organizations respond with approaches that […]
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OT cybersecurity threats in 2026 are crossing boundaries that previous threat models did not account for. At S4x26, presentations from Secvulre, Accenture, Copia Automation, ABS, and Emerson identified four threats reshaping how asset owners assess risk: the weaponization of distributed energy resources through harmonic swarm attacks, hardware trojans designed for physical destruction, Industrial Control Lifecycle […]
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The phrase “garbage in, garbage out” has been used for decades, but it has new weight in manufacturing AI. An AI model used for predictive maintenance, quality analysis, or process optimization relies on data from machines, sensors, historians, files, inspection systems, maintenance platforms, and production environments. If that data is compromised, manipulated, or introduced through […]
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Seventy-seven percent of organizations list AI-ready data as their number one investment priority for the next two to three years. But according to a 2024 Gartner survey of 247 data management leaders, the spending tells a different story. Only 37% are upgrading their data management architecture, 40% are investing in active metadata tools, and just […]
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