When Brice Miranda joined Servier as Chief Data, Analytics and AI Officer, the French pharmaceutical company faced a challenge familiar across life sciences which was huge volumes of data with a limited ability to turn it into reliable, usable insight. Three years later, the shift is measurable. Cohort selection that once required 30 hours now takes seconds. Genomic processing that previously ran for four weeks is completed in just four days.
At Google Cloud Next, Miranda joined Kevin Petrie, Vice President of Research at BARC to explain how Servier achieved this transformation and why the answer initially had little to do with AI at all. Instead, the foundation was data, consolidating fragmented systems into a trusted, governed environment before scaling advanced analytics and AI capabilities. The discussion offers a clear view into how life sciences organisations are operationalising AI at scale, and why the real challenge is not experimentation but execution. Watch the full discussion to hear how Servier is operationalising AI at scale in life sciences, and why execution now matters more than experimentation.
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