Delivering Value Through Predictive Analytics in Chemical Process Industries

In this webinar with our partner, PPT, learn how machine learning and predictive analytics was used to save a million dollars in a petrochemical facility through optimizing parameters of a cracked gas compressor loop. In this 40-minute session we’ll take you through the following agile analytics implementation approach of:

  1. Defining the Problem Statement and Hypothesis
  2. Extracting-transforming-loading (ETL) of data silos (DCS, SCADA, PLS, LIMS, ERP and others)
  3. Developing ML models to realize the deliverables
  4. Deploying the final model for real time predictions and delivering value