Asset management and predictive maintenance using AI

Asset management and predictive maintenance using AI

This session describe asset management using machine learning. Define type of use cases, metrics and algorithms for asset management, predicitive maintenance, anamoly detection, asset monitoring, predictive monitoring. The session describe various approaches to handle class imbalance in asset management scenarios.


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Topics

Home

Adaptive learning

Approaches to handle class imbalance

Code samples

Data centric ai

Data lineage

Explainability methods

Language model

Lessons learnt from hundred projects

Ml model stores

Ml operationalization challenges

Model explainability lessons learnt

Model serving tools

Notebooks for data science

Predictive maintenance

Predictive monitoring

Slides blog

Speech analytics

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