Over the next few weeks, I’ll be sharing a short series of observations from CES 2026 across three themes:
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Topics: Engineering Data, Big Data, Analytics, IIoT, Autonomous Vehicles, Sensor Data, Machine Learning, Analog Data, Electric Cars, ANC, Sensor Data Management, Edge Computing, Factory 4.0, Manufacturing, Intelligent Data handling, LabVIEW, Digital transformation
Engineering teams possess an underutilized goldmine in today’s fast-paced industrial landscape: their data. From sensor readings and vibration logs to video, sound, and test metadata, engineering data holds critical insights that can accelerate innovation, reduce costs, and safeguard operations against failure. Yet, a significant portion of engineering time is wasted merely searching for, organizing and wrangling data to make it usable.
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Topics: Engineering Data, Big Data, Analytics, Viviota, IIoT, automotive industry, Autonomous Vehicles, Sensor Data, Machine Learning, aerospace, Analog Data, Sensor Data Management, data cleansing, simulation, Edge Computing, Manufacturing, Intelligent Data handling, Build Back Better Act, EV, Digital transformation
Barry Hutt co-founder Viviota
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Topics: Engineering Data, Big Data, automotive industry, Autonomous Vehicles, Machine Learning, Analog Data, data cleansing, Edge Computing, Intelligent Data handling, Digital transformation
Self-driving cars offer a safe, efficient and cost-effective solution that will dramatically redefine the future of human mobility.
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Topics: IIoT, Autonomous Vehicles, Sensor Data, Machine Learning, ADAS