Driving Business Outcomes through Innovation in Data Analytics | Many industries have demonstrated enabling technologies, with a proven track record of providing quality products at a fraction of the cost and manufacturing space. One of the most exciting pharma frontiers is innovation related to meeting the emerging needs of patients - how to supply batches quickly and with consistent quality. This includes rapid evolution to meet these ever-changing supply chain requirements. There is growing evidence to support how continuous manufacturing, for example, offers batch size flexibility, streamlined development and smaller manufacturing footprints — all without the old challenges of scaling. This lessened angst around scale-up means we can accelerate the timeframe from development to commercial launch. For example, industries like food and beverage and chemicals, have reaped the benefits of utilizing PAT coupled with data analytics applications; effectively making the right process and product measurements, storing this valuable data, and then accessing it for near real-time decision making by subject matter experts (SMEs). Speakers will present their unique case studies highlighting examples like using PAT applications and the data science approaches utilized for fault detection and predictive maintenance. Participants will receive real-world knowledge of digital transformation projects focused on maximizing the use of manufacturing system data.