Industrial data:
dirty until proven
clean
Data is a precious asset. As most engineers, manufacturers, and industrial fleet operators have come to realize, there’s an urgent need to get the right data to the right person or system at the right time. Data integration and data integrity are essential steps in the process. We help you get results faster.
{Ingress, clean, transform, and merge data to deliver better results}
Industrial Operations in the
Age of AI-Ops is all about
Data Integration :
Timescale combination • Timestamp lag analysis • Missing data imputation • Outlier filtering • Frequency clustering
Topic of interest
Industry 4.0 audit
IT/OT data integration
Data pipeline creation
On-premise, hybrid, or cloud architecture
IIoT & edge data cleaning & outlier detection
Topic of interest
PI Core | Edge | Cloud
Azure IoT Hub & IoT Edge
AWS IoT Core
MindSphere MindConnect
NVIDIA DeepStream
Find out what your industrial
data can do for you
Integrating industrial data for ML Ops depends on well-engineered data pipelines and preparation. Is your data fit for purpose?
Turn to Maya HTT for our hands-on expertise with real-time telemetry and video feed processing for industrial data integration.
