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  • Templatizing Advanced ML-based Process Data Analytics (Industry: Oil & Gas)

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  • 26/11/2021 - 9:00 am - 10:00 am EST
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    Learn How to Leverage Python modules for Advanced Analytics, How to Codify ML Algorithms for Descriptive Analytics, and How to deploy Python/Jupyter Notebook with Analytics Solutions

    Implementing Manufacturing Data Analytics solution need a layered and guided approach to realize ‘Return on Analytics’ (ROA) before investing big dollars. This analytics e-meet is focused how to approach advanced analytics by using Python/Jupyter notebook, methods and best practices to work on process (time-series) data and advanced visualization. The session will showcase prevalent prerequisites and use cases such as statistical inference on process variability, correlation /deterministic analysis, significance testing and model building, etc. The data science / analyst team would get the insights into Advanced Data Analytics templatization.

    Meet our experts and get insights into:

    • Approach: Process Data Mapping and Representation – Prerequisites
    • Methods: How to templatize Root Cause Analysis, Predictive Analytics, Performance Analysis, Model Building and Fingerprint of a Process, Visual Analytics
    • Solutions: Advanced Visualization, Deployment of Python model, Integration with Analytic Solutions

     

    Who should attend:

    • Process R&D Heads
    • Production / Operations Head
    • Maintenance Heads
    • Plant heads
    • Technology leaders
    • Data Science leaders
    • Data Analysts

     

    Register to view the recorded session of this e-Meet or  email us at analytics@tridiagonal.com and we will email you the link.

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