Templatizing Advanced ML-based Process Data Analytics
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- 13/10/2022 - 9:30 am - 10:30 am CDT
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:
- CIOs, CDOs, VPs
- Data Scientists/Analysts
- Plant Heads
- AI-ML Heads
- Automation Heads
- IT-OT Engineers
- Digital Transformation Leads
- Technology leaders