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…
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…
According to the World Economic Forum, 70% of Industry 4.0 projects never move beyond the pilot phase. Research by IndustryWeek shows 86% of manufacturers are pursuing digital transformation, yet most stall on data. According to HighByte,…
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,…
At the Automate Show in Detroit, Gregory Tink, Digital Transformation Consulting Director at Schneider Electric, shared a clear and actionable approach to industrial digital transformation—one that moves beyond buzzwords and into scalable, measurable progress. Start with Strategy,…
What does it take to make digital transformation stick—beyond pilots, platforms, and buzzwords? At Hannover Messe 2025, the conversation around industrial transformation reached a new level of clarity—and urgency. From AI and agentic automation to modular…