MLOps for IoT Applications

A talk by Sreekanth Raghunath
IoT Data Scientist, MANN+HUMMEL Group

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About this talk

At MANN+HUMMEL Group, we combine intelligent technology with our filtration expertise to strengthen our position as a market leader.

In this talk, I will focus on digital transformation using IoT devices, with a strong emphasis on how we employ MLOps strategies to productionize our predictive and prescriptive maintenance solutions.

I will share my experiences at the MANN+HUMMEL Group IoT lab relating to:

  • Utilizing real-time streaming data from various IoT sensors
  • Combining external factors such as local weather data
  • Developing physics-based, data-driven predictive models
  • Automated data ingestion, model training, inferencing and monitoring employing MLOps strategies

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