Artificial Intelligence (AI) and Machine Learning (ML) have become ubiquitous terms in the past couple of years. This presentation inspects and compares the current AI and ML approaches with alternative techniques that are already well established within the process industries, and now also in many of the innovative Pharmaceutical companies.
Advanced Process Control (APC) and Multi-Variate Analysis are data driven techniques to build models of the process that provide greater insight and understanding, then use those models to monitor for abnormal operational events and, more recently, directly adjust the process to achieve closed loop control of product CQAs.
When we compare these “traditional” data-driven techniques with Machine Learning we see the same algorithms being applied and the common goal of improved decision making through data analysis, prediction and adjustment. There is a difference, however, and we’ll explore what it is within the talk.
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