• Start Time:
  • End Time:
  • Day:
    Day 1


  • Power transformers, oil wells, and semiconductor manufacturing use IoT based sensors to collect critical process parameters and quality attributes (CPP and CQAs). Such process parameters and quality attributes can be leading indicators for detecting failure events.
  • CloudKarya helps customers build and deploy AI/ML solutions to monitor real-time CPPs and CQAs to perform predictive maintenance to prevent adversarial events such as equipment failure, oil well cessation.
  • A Case study to show how a CloudKarya customer is using our models


Associated Speakers:

Venkatesh Tadinada



Associated Talks:

03:00PM - Day 1

View Using AI/ML to predict Equipment Failures

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