DBTB INT Gopal r
summary
Compares healthcare to defense, finance and social media and claims those shared methods are now essential to clinical workflows, arguing data is the solution for major efficiency gaps and that automation must take on human workloads. Identifies data diversity—many new input sources—as the next technical hurdle beyond scale and says teams are building end-to-end pipelines by asking data scientists to act as software engineers to turn insights into production features. Mentions ai.bythebay.io and Scale By the Bay 2019 in the event context.
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