Why engineering data preparation is the hidden ROI driver
Engineering data preparation is the systematic process of cleansing, structuring, enriching, and tagging raw test and sensor data so engineers can find, trust, and use it quickly for analytics and AI. Done well, it turns chaotic files and logs into a reusable asset that cuts time-to-insight from days to seconds and unlocks predictive models.
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Topics:
Big Data,
Analytics,
IIoT,
Electric Grid,
F1,
COTA,
Autonomous Vehicles,
Analog Data,
ADAS,
Hybrid Cars,
Electric Cars,
ESS,
ANC,
Edge Computing,
Factory 4.0,
Intelligent Data handling,
Build Back Better Act,
EV,
Digital transformation
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
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
Car & Driver's March 2019 issue includes an article on sound Active Noise Cancellation (ANC) and Electronic Sound Synthesis (ESS). With the September 2019 deadline looming for auto manufacturers to meet PEDESTRIAN SAFETY ENHANCEMENT ACT OF 2010 (PSEA), which governs EV & HEV sound emissions, there is opportunity for new automotive products that detect and emit sound at low speeds in these vehicles (< 18.6 mph). There is also the opportunity for the reverse, removing annoying sounds. Innovative sound creation and sound reduction systems are relying on sensor data to determine what sounds to synthesize and what sound to deaden.
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Topics:
Sensor Data,
Hybrid Cars,
Electric Cars,
ESS,
ANC