There are several challenges associated with next generation processing for bio pharmaceutical production. The ambitious goals set by the customers and the overall market are being addressed through the combination of technology, bioprocess intensification and data driven insights. A comprehensive strategy is covering new modular hardware approach, standardized communication interface, smart data management and additional self-service cloud based on big data and machine learning. The combination of those capabilities drastically increases flexibility and automation enabling the biopharmaceutical Facility of the Future. On the intersection of technology and business there are new opportunities leveraging collaboration power of integrated ecosystem of vendors, service providers and customers. We are performing a set of pilot implementations where many of our assumptions and technologies are being tested and confirmed. In this session we will present the findings and concepts covering:<br/>- Lab and Manufacturing sites connectivity – challenges and opportunities for OPCUA based, standardized connectivity and control integrating unit operations, consumables, operators and broader ecosystem<br/>- Data management leveraging GMP data lake – what is the real value of advanced data management including ontology and taxonomy models covering end to end process definition? <br/>- Advanced Analytics leveraging Machine Learning and AI – how ML and AI models can be used in GMP environment?

Harnessing the power of a data-driven revolution to enable single-use and continuous processing technologies to meet the market need

ACS Fall 2020 Virtual Meeting

The official archive and repository for all ACS Meetings & Expositions abstracts and select posters or presentations.