Use cases — stage 01
Design & Stress-Test
Named examples from the tools pharma teams use to scope, prototype and benchmark an AI use case before committing to build it — data-catalog, sandbox and evaluation platforms.
152 stories across 26 vendors
Collibra38
- 01How the Weir Group built a blueprint for sustainable AI governance
- 02McDonald's + Collibra: AI Transformation Story
- 03ADEO aims to be a data-driven company with Collibra
- 04Adobe strengthens data culture by engaging employees
- 05Anglo American shares the importance of data transparency
- 06ASN Bank builds better compliance with Collibra
- 07AXA XL builds a data culture through governance
- 08BNP Paribas Fortis customer story: Smarter data decisions
- 09Cambia Health Solutions improves member experience with data quality and governance
- 10Cox Automotive | Collibra
- 11Crédit Agricole Assurances provides personalized products with Collibra
- 12Daiichi Sankyo Europe GmbH | Collibra
- 13DNB drives digital transformation through people, process and technology
- 14Engie targets carbon neutrality with data governance strategy
- 15Collibra helps Envision Healthcare and its patients tackle insurance claim issues
- 16Equifax uses data to bring new products to market
- 17Euroclear Reduces Duplicate Data Spending
- 18Freddie Mac creates a one-stop-shop for data
- 19Froedtert & Medical College of Wisconsin transforms patient experience with Collibra
- 20Galp uses data governance to transform the energy sector
- 21HEINEKEN relies on data to become the best connected brewer
- 22JLL strives to be a data-driven company with Collibra
- 23Collibra improves customer engagement for European DIY retailer Kingfisher
- 24Data is the fuel of digitization at La Banque Postale
- 25L'Oréal expedites product time to market with data
- 26NAB Powers Innovation with Collibra and Databricks
- 27NetApp's approach to data governance enables trusted decision-making
- 28Northern Trust aims to provide quality data with Collibra
- 29Transforming defense decision-making with Advana
- 30Data products at SAP: Enabling AI-powered data driven decisions
- 31Collibra helps SIGNAL IDUNA use data to improve customers' lives
- 32TeamBank ensures compliance with complete view of data
- 33A system of engagement helps Telenet reduce risk
- 34TELUS improves trust in data with the help of Collibra
- 35Toyota Motor Europe fuels growth via data democratization
- 36UC Davis Health transforms healthcare research with trusted data
- 37WGU reduces data curation and governance time from weeks to seconds
- 38Inside Wolters Kluwer's journey to data intelligence
Domino Data Lab17
- 01GSK Modernizes Clinical Analytics SCE with Domino
- 02presented on using Domino for multi-GPU deep-learning (computer-vision/histopathology) models for precision oncology, 10x faster model development
- 03Testing Thousands of Hypotheses with an FDA-Qualified Research Platform
- 04Bayer Data Science: Scaling AI for Agriculture
- 05U.S. Navy makes mine detection intelligence more trustworthy with Domino
- 06Vevo AI: Data Science for Music Video Advertising
- 07Insurance Claims & Analytics: Allstate Case Study
- 08Moody's Analytics Data Science with Domino
- 09Giving Homeowners Answers About Insurance Coverage in Seconds with Model-driven Policy Approvals
- 10Global Financial Services Leader
- 11Building a unified statistical computing environment at scale
- 12Enterprise Data Science in Drug Development
- 13AstraZeneca: Reproducible AI & Governance in Healthcare
- 14Statistical Computing Environment at Merck
- 15How UCB modernized its statistical computing environment
- 16Scale for data science innovation across the healthcare value chain
- 17non-pharma video sessions also present in the resource library (governance, data collaboration, agentic AI architecture) — not detailed here as out of scope.
Snorkel AI16
- 01Snorkel AI helps MSKCC streamline HER-2 patient identification
- 02DIU Enhances Decision-Making Resilience with Snorkel AI
- 03Experian Improved Agent Response Times Under 3 Seconds with Snorkel
- 04How Rox achieved 99% accuracy with Snorkel
- 05Deploying production AI in <60 days to accelerate claims review 67%
- 06From hours to seconds on CLO contract review with 94% end user acceptance
- 07Global media intelligence company cuts analysis time to 15 seconds
- 08From stalled pilot to $43M annual ROI and 95% accuracy
- 09How a global telecom scaled agentic AI with synthetic data
- 10How an F500 telecom uses Snorkel AI to measure and improve virtual assistant CX
- 11Wayfair achieves 99% category win rate and 7-point clickthrough lift
- 12Google labels millions of data points in minutes with Snorkel AI
- 13How SLB uses Snorkel Flow to enhance proactive well management
- 14Global bank saves 10,000 hours in KYC efforts using Snorkel AI
- 15Consulting giant eliminates a year of labeling time with Snorkel
- 16How Genentech extracted information for clinical trial analytics with Snorkel Flow
Dataiku15
- 01Novartis: Streamlining analytics & AI across the organization
- 02Roche: Transforming patent workflows with agentic AI
- 03Johnson & Johnson: Transforming vision care with generative AI
- 04GxP-compliant pharmaceutical AI collaboration ("Driving AI Innovation in Life Sciences"
- 05saved roughly 40 hours/month versus its prior manual process using Dataiku (dedicated story page not directly confirmed live in this pass; reported via Dataiku's own marketing copy).
- 06Perdue Farms: From data chaos to clarity with Dataiku
- 07How Softbank scaled an AI agent-powered sales model, saving 250k hours a year
- 08Mitsubishi Electric: Accelerating analytics delivery by 60% & scaling GenAI with Dataiku
- 09Standard Chartered Bank: Driving business outcomes with data
- 10SLB: Putting data & AI to work for energy
- 11Euronext: Driving market share insights with AI agents
- 12Michelin: From siloed data to a global AI fabric with Dataiku
- 13Geodis: Improving IT support efficiency with AI agents in Dataiku
- 14Prologis: Reaching operational excellence with Dataiku
- 15insurance operations strengthened with data/ML (non-pharma).
Alation13
- 01used Alation's data-catalog/AI-analytics platform to break down cross-divisional data silos and help identify/treat rare diseases (cited example: identifying patients with transthyretin cardiomyopathy, often misdiagnosed
- 02AbbVie: Democratizing Data and Removing Silos with a Data Catalog
- 03How CHOP Is Building an AI-Ready Healthcare Organization with Data Intelligence and Trust
- 04Customer Case Study: HBF Health Ltd.
- 05Alation: The Front Door to Data Intelligence at Sallie Mae
- 062,500+ users use Alation to find data (non-health
- 07The $25 Million Reason Georgia-Pacific Rebuilt Its Data Foundation
- 08From VINs to Value: How Daimler Truck Is Building the Future of AI-Driven Manufacturing
- 09Why CNA Insurance Started Its Agentic AI Rollout with Governance
- 10How Brambles Uses CDEs to Govern Its Global Supply-Chain Data
- 11How Lipton Is Brewing a Smarter Supply Chain with Alation
- 12How Telecom and Mining Companies Make AI Work in Production
- 13How Daimler Trucks North America, Commonwealth Bank of Australia, and Marks & Spencer Became Alation's 2025 Data Radicals Award Winners
Databricks11
- 01Novo Nordisk Transforms Clinical Trials With AI
- 02How Regeneron is discovering new treatments with AI
- 03How AI is changing drug discovery
- 04Bayer transforms global data management with Databricks
- 05Delivering timely insights that drive better patient care
- 06Optimizing healthcare revenue cycle management
- 07Empowering smarter healthcare decisions
- 08Personalizing the pharmacy experience to enable better outcomes
- 09Combating COVID-19 with data and ML
- 10Putting patients' health first with data and AI
- 11described as a Databricks/AWS customer using the Lakehouse Platform in Databricks newsroom/partner material; no dedicated `/customers/amgen` story page could be found live (404) — flagged as unconfirmed/no story page, not fabricated as a full case study.
MDClone6
- 01Customer Spotlight: Intermountain Healthcare | MDClone
- 02Case Study: Sheba Medical Center | MDClone
- 03Three Pilot Projects Ensure Synthetic Data Accuracy and Maintained Patient Privacy: Washington University
- 04Customer Spotlight: The Ottawa Hospital | MDClone
- 05Using High-Quality Synthetic Data to Support Rapid Innovation: VHA Innovation | MDClone
- 06Creating Valid, Complete, and Accurate Standardized Data from 2.5M Unique Patient Records: RAMBAM | MDClone
Owkin5
- 01Epkin used Owkin's K Pro to map prostaglandin biology and design the Phase 1 strategy for OKN4395.
- 02Compugen added Owkin's K Pro alongside its in-house target discovery AI platform.
- 03Servier partnered with Owkin to apply AI to its clinical data for drug positioning and patient stratification in oncology.
- 04Owkin expanded its collaboration with Sanofi to use AI for drug positioning in immunology.
- 05Owkin and Bristol Myers Squibb began a multi-year collaboration applying AI to clinical trial design, starting with cardiovascular disease.
Cradle5
- 01The Keasling Lab used Cradle to re-engineer plant enzymes for fermentation-based QS-21 vaccine adjuvant production.
- 02A top-20 pharma optimized three stalled late-stage peptide programs with Cradle in one round each.
- 03A top-20 pharma improved the thermostability of a S. aureus vaccine antigen in a single Cradle round.
- 04A top-50 pharma delivered 10 IgG candidates meeting potency and developability criteria after earlier campaigns failed.
- 05A biomanufacturing company nearly tripled P450 enzyme activity in three Cradle rounds after plateauing.
Gretel4
- 01used Gretel's synthetic-data platform to create safe synthetic genomic datasets, enabling genomics research and safe/private data sharing between researchers, healthcare providers and industry
- 02generated 16M+ synthetic patient records for labor-and-delivery data to train ML forecasting models while preserving privacy
- 03turned synthetic data into a strategic-growth capability (finance; non-pharma) — referenced on Gretel's finance solutions page, dedicated case-study URL not directly resolved in this pass.
- 04synthetic time-series data for cross-institution use (finance; non-pharma) — referenced on Gretel's finance solutions page, dedicated case-study URL not directly resolved in this pass.