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.
Clinical teams spent hours manually compiling siloed data. Now, AI agents query those systems to deliver trial insights in minutes.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Clinical teams spent hours manually compiling siloed data. Now, AI agents query those systems to deliver trial insights in minutes.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Generic AI mangled chemistry terms; manual translation took months. Glossary-tuned AI now earns enough trust to publish before human review.
A maze of disconnected systems obscured global trial visibility. Now, a digital twin guides AI to automate heavily regulated workflows.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
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.
Clinical teams spent hours manually compiling siloed data. Now, AI agents query those systems to deliver trial insights in minutes.
Scientists spent half a day digging through 50 years of scattered files. Now, an AI assistant retrieves past experiments in minutes.
Clinical teams spent hours manually compiling siloed data. Now, AI agents query those systems to deliver trial insights in minutes.
Teams reactively managed trials across scattered systems. AI now integrates data to predict bottlenecks and recommend interventions.
Generic AI mangled chemistry terms; manual translation took months. Glossary-tuned AI now earns enough trust to publish before human review.
A maze of disconnected systems obscured global trial visibility. Now, a digital twin guides AI to automate heavily regulated workflows.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.