Digital Shadows to Aid Complexity in Handling Process Intensification
AI-augmented digital twins that merely report, rather than control processes, could help biotechnology companies untangle the complexities of analyzing big multidimensional nonlinear datasets to help simplify and improve process intensification. The post Digital Shadows to Aid Complexity in Handling Process Intensification appeared first on GEN - Genetic Engineering and Biotechnology News .
Biotechnology expert William Whitford, PhD, from Oamaru BioSystems, believes digital shadows can aid process intensification without regulatory concerns. Digital shadows are real-time digital copies of a process or equipment, unlike digital twins designed for active control. They provide a less comprehensive yet sufficient solution for companies seeking to engage in process intensification without regulatory complications.
These digital shadows excel at managing the large, complex datasets generated by modern bioprocess analytics, which include time series, imaging, analytical, and historical data. By integrating various data types, digital shadows can make inferences and future predictions, aiding manufacturers in maximizing product output per unit of plant space or bioreactor volume.
This data-driven approach can help streamline processes and optimize resource utilization, ultimately benefiting manufacturers seeking to improve efficiency and productivity.
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