analog data

CES 2026: The Line Between Science Fiction and Engineering Just Disappeared

Posted by Barry Hutt on Jan 29, 2026 9:37:52 AM
AI Dog CES 2026

Part 3 — The AI Bottleneck Nobody Is Talking About

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Topics: Test, Big Data, Analytics, Viviota, SAP, Sensors, automotive industry, Real-time computing, COTA, U.S. Grand Prix, Autonomous Vehicles, Sensor Data, Machine Learning, aerospace, Analog Data, ADAS, Hybrid Cars, NIWeek, ESS, ANC, Sensor Data Management, data cleansing, simulation, webinar, Smart Factories, Manufacturing, Intelligent Data handling, Software, LabVIEW, Build Back Better Act, Digital transformation

CES 2026: The Line Between Science Fiction and Engineering Just Disappeared

Posted by Barry Hutt on Jan 20, 2026 4:04:04 PM

Walking the floor at CES this year felt like stepping into a future that suddenly arrived all at once. Everywhere you turned, there were robots, intelligent machines, autonomous systems, and increasingly lifelike interfaces. But unlike past years, many of these technologies no longer felt like fragile demos or research experiments.

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Topics: Engineering Data, Big Data, Analytics, Autonomous Vehicles, Analog Data, Digital transformation

CES 2026 Blog Series: Mind-boggling technology observations

Posted by Barry Hutt on Jan 15, 2026 10:33:13 AM

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

Stop Losing Time: How Engineering Data Can Save Millions

Posted by Barry Hutt on Mar 31, 2025 3:27:15 PM

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

NVIDIA Show Report: AI & ML Take Center Stage at the "Woodstock of AI"

Posted by Barry Hutt on Mar 25, 2025 9:07:19 AM

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

The 7 Data Habits of World-Class Product Companies

Posted by Barry Hutt on Sep 18, 2023 9:24:21 AM

Harvard Business Review[i] reported that cross-industry studies show, on average, less than half of an organization's structured data is actively used in making decisions—and less than 1% of its unstructured data is analyzed or even used at all. 

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Topics: Analog Data, Sensor Data Management, webinar, Edge Computing, Intelligent Data handling

Ghostwalk Your Automotive Data - Making Sense of Sensor Data

Posted by Patricia Friar on Sep 20, 2021 7:00:00 AM
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Topics: Engineering Data, Analytics, Autonomous Vehicles, Sensor Data, Analog Data, data cleansing, Edge Computing, Intelligent Data handling

What is Sensor Data and Why is it Changing the World of Innovation?

Posted by Barry Hutt on Jan 31, 2019 5:03:00 PM

"What we've got here is a failure to communicate." In the 1967 Paul Newman movie classic Cool Hand Luke, that memorable line is uttered by the character "Captain" (head of the chain gang) to justify beating Cool Hand Luke, played by Newman. Captain of Road Prison 36 has just told Luke that he is wearing chains for his good—to which the prisoner cleverly responds, "Wish you'd stop bein' so good to me, Cap'n." 

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Topics: Engineering Data, Sensor Data, Analog Data