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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AI already produces summaries, recommendations, and reports across manufacturing. Few manufacturers trust those outputs enough to act on them.Searching a document library or summarizing a maintenance file is a support function. Recommending a process change, flagging a quality risk, supporting supplier approval, or triggering a production workflow sits in a different category. The consequences are […]
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Industrial environments have been built one use case at a time, leaving most large manufacturers with fragmented IT and OT infrastructure. A manufacturer with 10 sites might run four different home-grown MES platforms, three different ERPs, and entirely custom data connections between them. As organizations deploy artificial intelligence, that absence of standardized data architecture has […]
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Close to 80% of power generation deployments in ABB’s global electrification and power install base run on-premise at the edge. That figure, shared by Cody Falcon of ABB Energy Industries during IIoT World Energy Day 2026, is not an aspiration. It is the current state of how power gets managed. The reasons are practical: battery […]
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In manufacturing, the window between a small deviation and a costly event can be measured in seconds. A vibration pattern shifts, a batch parameter drifts, a temperature moves outside its normal band. The data exists, but by the time it reaches the person who can act, the window has closed. Response speed for AI in […]
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