It's a natural fit. Signal.X brings 20+ years of NVH and end-of-line test expertise — defining defect-revealing test targets, controlling test stands with precision, and archiving raw and processed data. Viviota provides the engineering data platform that scales it across the enterprise — ingesting and unifying sensor data, making it searchable, and powering a fast analysis workbench for your engineering teams.
Together, the integrated solution helps manufacturers:
• Dramatically reduce time-to-insight
• Cut test costs and eliminate redundant testing
• Pinpoint root causes of failures and performance drift
• Operationalize AI/ML for predictive quality and reliability
If you'll be at NI Connect, two ways to connect:
1) Catch Barry Hutts Tech Stage talk
"From Chaos to Clarity: Turning Test & Measurement Data into AI-Ready Pipelines"
Thursday, May 14 | 8:20–8:40 AM
2) Stop by our shared Viviota + Signal.X booth
We'll walk you through the integrated solution live, with real test data.
Not attending but curious? Send an email to Pete.Zogas@viviota.cpm
Looking forward to seeing you in Fort Worth.
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Topics:
Big Data,
Analytics,
Sensors,
Electric Grid,
Real-time computing,
Autonomous Vehicles,
Sensor Data,
Machine Learning,
Analog Data,
ADAS,
NIWeek,
ANC,
Sensor Data Management,
Edge Computing,
Factory 4.0,
Smart Factories,
Manufacturing,
Digital transformation
Plan a Strategy to Accelerate Your Organization’s Performance
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Topics:
Test,
IoT,
Viviota,
SAP,
Sensors,
automotive industry,
Real-time computing,
U.S. Grand Prix,
Sensor Data,
Machine Learning,
aerospace,
ADAS,
NIWeek,
ANC,
Sensor Data Management,
data cleansing,
simulation,
webinar,
Smart Factories,
Manufacturing,
Intelligent Data handling,
Software,
LabVIEW
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
Read More
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
