AWS has long shared our customers’ excitement around the power of AI and ML to transform patient outcomes - from predictive bioactivity in drug discovery to delivering more personalized patient engagements. That is why AWS is committed to democratizing AI/ML, making it cheaper and easier for healthcare and life sciences customers to innovate, with products like Amazon SageMaker that remove undifferentiated heavy lifting.
AWS has seen a rapid acceleration in the adoption of ML amongst organizations like Pfizer, Gilead, Roche, Novartis, and Johnson & Johnson. We will discuss some common use cases in each of these organizations. Some of these use cases were already possible with AI - and are now improved with Generative AI - while some are completely new use cases that wouldn’t be possible without Generative AI.
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