Analysts spent hours pulling reports before any real analysis began. Now they ask questions in plain language and get answers in seconds.
A global healthcare company's Rare Disease Insights & Analytics team delivers data-driven insight for drug launches, market monitoring, and brand strategy using enterprise healthcare claims and prescription data.
As the rare disease portfolio expanded and headcount tightened, the gap between stakeholder questions and the team's capacity to answer them kept...
“It's like having an extra analyst that cuts through most of the manual and laborious aspects of data analysis which then facilitates insights creation, digestion and discussion with stakeholders and helps give you a deeper and more actionable understanding of the story.”
Pharmaceutical company specializing in diabetes, obesity, and rare blood disorders.
AI and machine learning platform for enterprise data science and analytics.
Novo Nordisk's Data analysis assistant is part of this use case:
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Validating hypotheses took specialists weeks of manual coding. Now, an AI agent drafts analyses for expert review in minutes.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Patent attorneys juggled scattered GenAI tools, rebuilding context each time. Lex unifies search methods into one governed interface.
Ad-hoc queries bottlenecked analysts for hours. Now, business teams use an AI agent to pull governed insights in plain text.
Manual data stitching bottlenecked insights. A unified AI hub now saves analysts 8 hours weekly, cutting research time to minutes.
Generic AI mangled chemistry terms; manual translation took months. Glossary-tuned AI now earns enough trust to publish before human review.
Every HCP response required manually searching regulated literature. Now agents surface cited answers from 3,100+ medical documents.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.
Analysts spent hours pulling reports before any real analysis began. Now they ask questions in plain language and get answers in seconds.
A global healthcare company's Rare Disease Insights & Analytics team delivers data-driven insight for drug launches, market monitoring, and brand strategy using enterprise healthcare claims and prescription data.
As the rare disease portfolio expanded and headcount tightened, the gap between stakeholder questions and the team's capacity to answer them kept...
“It's like having an extra analyst that cuts through most of the manual and laborious aspects of data analysis which then facilitates insights creation, digestion and discussion with stakeholders and helps give you a deeper and more actionable understanding of the story.”
Pharmaceutical company specializing in diabetes, obesity, and rare blood disorders.
AI and machine learning platform for enterprise data science and analytics.
Novo Nordisk's Data analysis assistant 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.
Silos forced teams to manually chase data. Now, AI agents identify adverse events in seconds, eliminating weeks of cross-referencing.
Patent attorneys juggled scattered GenAI tools, rebuilding context each time. Lex unifies search methods into one governed interface.
Ad-hoc queries bottlenecked analysts for hours. Now, business teams use an AI agent to pull governed insights in plain text.
Manual data stitching bottlenecked insights. A unified AI hub now saves analysts 8 hours weekly, cutting research time to minutes.
Generic AI mangled chemistry terms; manual translation took months. Glossary-tuned AI now earns enough trust to publish before human review.
Every HCP response required manually searching regulated literature. Now agents surface cited answers from 3,100+ medical documents.
Appliance insights bottlenecked through Slack—hours or days, shaped by who you asked. Now product teams query in plain English.
Scaling AI access across a 100,000-employee workforce risked system overloads. An auto-scaling platform launched with zero downtime.