IIoT Data and its Meticulous Engineering Requirement

Real-time data from sensors and other data sources helps industrial devices and infrastructures in their decision-making process. Comprehending the data engineering requirements and creating the plan is vital to ensure success.

Analytics Engineering plays a pivotal role in fetching, cleaning, transforming, and creating AI ready data bed for IIoT data.

Be it real time analysis or batch processing Data engineering is the first step towards utilizing the data to achieve insights to transform business and help key stakeholders in pin-pointed but accelerated decision making.

Usage of MLOps solution to ensure faster, seamless, reliable, robust, and always ON machine learning system in place with a key focus on model performance enabling model retraining.

Experts behind the wheel of AE world

Sripathy Venkateswaran

VP - Head of AE Practices

Prashanth Subbanna

Senior Director - Analytics Engineering

Bedanta Bordoloi

Director - Analytics Engineering

Manas Agrawal

CEO & Co-Founder

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