How Industrial Artificial Intelligence and the Digital Twin Accelerate Innovation in Life Sciences

Pharmaceutical and life sciences manufacturers are under growing pressure to compress development timelines, from discovery to commercialization, as demographic, technological and geopolitical trends increase the pace of innovation and disruption. In the face of these challenges, many pharmaceutical manufacturers are finding their traditional processes, which are often built on fragmented data and highly manual workflows, are insufficient.