ABB resolves 80% of measurement device faults through an AI copilot, without a support call. HighByte compressed Alcon’s one-year plant-wide digital transformation to less than one month. InfluxData and Litmus take manufacturers from three sites to 300, with positive ROI in 60 to 90 days. Cybus reports 9% less downtime and 23% lower cloud costs […]
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Factories generate massive volumes of time series data from every sensor, controller, and production line, but many manufacturers reduce the fidelity of that data or discard it entirely because their existing infrastructure makes retention too expensive or too difficult. “It always pains me to see customers reducing fidelity or throwing data away for resource or […]
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A temperature reading with a timestamp does not tell you whether it is Fahrenheit or centigrade, which factory generated it, which production line, or which asset. Without that context, the data cannot drive a decision. At Hannover Messe 2026, InfluxData and Litmus described how their integrated architecture solves this: Litmus Edge connects to shop floor […]
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There is an unspoken rule in manufacturing technology that overrides every software license, every boardroom mandate, and every digital transformation roadmap. It is the OT Veto. This isn’t a failure of leadership or vision. It is the logical, inevitable outcome of a system where one group is measured purely on the certainty of production, and […]
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The data challenge facing energy operations todayPower grids, renewable energy sites, battery storage facilities, substations, and smart meter networks generate millions of time-stamped data points every second. This telemetry from sensors, SCADA systems, and field devices is the foundation for real-time monitoring, predictive maintenance, and grid stability. Without the right data infrastructure, none of it […]
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For manufacturing leadership, every capital request comes with a projection: a return on investment, a payback period, a net present value. These metrics are designed to filter good bets from bad. But there is a new, critical filter emerging in the era of artificial intelligence, and it has nothing to do with financial modeling. It […]
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The graveyard of smart manufacturing projects is filled with perfect, scalable, future-proof monoliths. They are elegant technical cathedrals, engineered on whiteboards to last a decade. The problem is, the ground beneath a manufacturing operation is not solid. It is shifting sand, a living system of legacy machines, undocumented workarounds, and relentless production pressure. Your beautiful […]
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We are getting the conversation about data infrastructure backwards.The chatter online is saturated with debates on cloud versus edge, the merits of one database over another, and the magical promise of AI algorithms. These are implementation details. The fundamental, unglamorous, and decisive battleground for predictive operations lies elsewhere. It’s in the cultural and mechanical translation […]
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Industrial operations depend on data historians to record what’s happening on the line or in the field. But as systems evolve toward Industry 4.0, many teams find that their historians weren’t built for what’s next — the volume, velocity, and variety of time series data now generated by sensors, PLCs, and edge devices.Replacing these systems […]
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Data plays a critical role in shaping operational decisions. From sensor streams in factories to API response times in cloud environments, organizations rely on time-stamped metrics to understand what’s happening and determine what to do next. But when that data is inaccurate or incomplete, systems make the wrong call. Teams waste time chasing false alerts, […]
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Learn how integrating a time series database with your historian helps industrial teams detect issues faster, act in real-time, and build predictive strategies that reduce downtime.Modern industrial systems continuously generate time-stamped data from sensors, PLCs, SCADA systems, and other connected devices. Known as time series data, this information reflects how conditions change over time, tracking […]
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As manufacturers accelerate their digital transformation journeys, the limitations of fragmented data environments are becoming more visible—and more costly. The promise of smart manufacturing hinges on one capability: enabling data to move seamlessly from the factory floor to the cloud and back without loss, latency, or complexity.This is where edge-to-cloud synchronization emerges not as an […]
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