AI in Pharma: Emerging Use Cases Across The Value Chain
Source: Rockwell Automation
By Sachin Misra and Nick Ward
Artificial intelligence (AI) and machine learning are critical considerations for pharmaceutical companies updating their digital strategies. This cultural and mindset shift enables a data-driven organization that can nimbly identify, prove out, and capture value from opportunities. These innovative solutions face challenges as R&D budgets shrink. Explore the emerging value cases for AI across phases of the pharmaceutical value chain, which includes processes in four primary functions across the pharmaceuticals lifecycle—Discover, Create, Make and Sell.
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