Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
A century-old global pharmaceutical company generating billions of data points from clinical trials across diabetes, obesity, and chronic disease research, with over 60 teams operating across eight cloud regions.
Clinical trial data lived in a 'patchwork spiderweb' of fragmented, individually managed storage solutions, with no single person holding knowledge...
“We’re at a crossroads of democratizing data access to a wider number of people so that insights can be leveraged by more. Before Databricks, it was difficult to provide this level of access. Databricks offers the infrastructure necessary to unlock the full potential of our data-driven initiatives.”
Pharmaceutical company specializing in diabetes, obesity, and rare blood disorders.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Novo Nordisk's Clinical data insights is part of this use case:
Related implementations across industries and use cases
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
30-minute report-digging kept fleet audits chronically deferred. Now one prompt delivers every device, flag, and follow-up emails at once.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
A century-old global pharmaceutical company generating billions of data points from clinical trials across diabetes, obesity, and chronic disease research, with over 60 teams operating across eight cloud regions.
Clinical trial data lived in a 'patchwork spiderweb' of fragmented, individually managed storage solutions, with no single person holding knowledge...
“We’re at a crossroads of democratizing data access to a wider number of people so that insights can be leveraged by more. Before Databricks, it was difficult to provide this level of access. Databricks offers the infrastructure necessary to unlock the full potential of our data-driven initiatives.”
Pharmaceutical company specializing in diabetes, obesity, and rare blood disorders.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Novo Nordisk's Clinical data insights is part of this use case:
Related implementations across industries and use cases
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Every update meant re-recording across five teams. Now a script upload produces multilingual medical video without a single studio session.
30-minute report-digging kept fleet audits chronically deferred. Now one prompt delivers every device, flag, and follow-up emails at once.
Scattered AI tools and manual document searches slowed engineers. Now, a unified AI rapidly retrieves specialized technical answers.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.