In-house Sample May 28, 2025 Sanofi Sanofi needs to accelerate biopharma development, manufacturing, and supply so it can bring medicines to patients faster, increase production efficiency, and make operations more predictive and resilient across its… already identified seven new therapeutic targets AI + Internet of Things (IoT) · Digital twins · Patient Digital Twin technology 
MongoDB Sample May 28, 2025 Occidental Petroleum Occidental Petroleum needed to avoid an expensive, lengthy manual review of 1.5 million lease documents and create a scalable way to classify and extract metadata from millions of PDFs. Atlas Vector Search achieved retrieval times of less than 200 milliseconds across more than 100 GB of text. AWS Lambda · Amazon S3 · Microsoft Azure AI Document Intelligence MongoDB Sample May 28, 2025 Major Canadian bank A major Canadian bank needed to unify fragmented capital-markets data spread across dozens of applications and domains so teams could stop duplicating information and start producing trusted analytics and AI-driven… The bank’s IT team oversaw 76 applications and 113 data domains in the Capital Markets division. Databricks · MongoDB Atlas · MongoDB Enterprise Advanced 
IBM Sample May 27, 2025 Ogilvy Ogilvy needed a memorable way to help IBM and Adobe show marketers the risks of unchecked AI-generated content and reinforce trust, accuracy, safety, transparency, auditability, and creative control at Adobe Summit. 14% improvement in moving interest down the funnel, compared to previous years Adobe Firefly · watsonx IBM Sample May 27, 2025 IBM Enterprise Performance Management IBM needed to overcome fragmented financial and workforce planning data spread across hundreds of applications so analysts and executives could forecast, plan, and make decisions without relying on siloed tools and… 97% benchmark achieved by the touchless forecasting process IBM Cognos Analytics · IBM Planning Analytics · IBM watsonx.ai In-house Sample May 26, 2025 BNP Paribas BNP Paribas must design and distribute investment products tailored to each retail customer while handling very large volumes of information, complying with stringent regulation, and giving advisers and customers clear… several billion possible combinations algorithm · automated preparation of performance reports · internal conversational assistants MongoDB Sample May 26, 2025 Monoprix The best-suited solution TOL tackles multiple challenges, including the need for easy processing of various types of documents and the need to email each customer their receipt before they leave the store. An early start In 2021 Monoprix began designing its initial solution for digitizing receipts based on… MongoDB Atlas 
Snowflake Sample Archived · May 24, 2025 OM1 simplify a compute-heavy healthcare data ecosystem spread across AWS, Databricks, and custom software so OM1 could deploy ML code faster, reduce maintenance, and keep PHI redaction efficient. 100M+ clinical records redacted in less than 30 minutes to protect patient privacy Snowflake · Snowpark · Snowpark Container Services MongoDB Sample May 23, 2025 Novo Nordisk Novo Nordisk needed to shorten the slow and error-prone process for producing clinical study reports while keeping document generation deterministic and regulator-friendly in a tightly controlled pharmaceutical… "MongoDB has helped us cut writing times by 90%" MongoDB Atlas MongoDB Sample Archived · May 23, 2025 FAIRTIQ FAIRTIQ needed a scalable, high-availability backend to process 320k+ trips/day across six countries, ensure near-zero downtime, support rapid growth, and handle noisy GPS-based data accounting. Currently FAIRTIQ processes 320,000 trips daily and is available in eight European countries where it’s used… MongoDB Atlas · MongoDB Atlas Data Federation Snowflake Sample Archived · May 23, 2025 Power Digital turn large volumes of first-party marketing data into faster, more actionable insight so campaign strategy does not rely on gut feel or slow manual analysis. 12 Sec for data retrieval, down from 24 hours Snowflake · Streamlit 
PwC Sample Archived · May 22, 2025 Wyndham Hotels & Resorts Wyndham needed to support franchise owners and guests faster and at lower cost while its brand-standards and service processes still relied on slow manual reviews, training, and escalation across a sprawling global… 28% of incoming calls handled by AI agents, easing the load on staff and lowering costs Agentforce · Responsible AI framework · Salesforce Experience Cloud 
OpenAI Sample May 22, 2025 CodeRabbit CodeRabbit needed to remove manual code review as the new bottleneck in software delivery by catching cross-file issues, reducing false positives, and shortening pull-request cycles for large codebases. 20-60x ROI CodeRabbit · GPT-4.1 · o3 In-house Sample May 20, 2025 BBVA BBVA wanted to overhaul its mobile banking experience in Spain with faster performance, deeper personalization, easier day-to-day money management, and more proactive support for payments, savings and investing. overdraft coverage of up to €300 to pay for bills Apple Intelligence · BBVA app · Bizum 
Cohere Sample May 20, 2025 Fujitsu Fujitsu needed a highly accurate Japanese large language model for customers in regulated industries that handle confidential data and strict compliance requirements, but building that model required advanced… Cohere Command series · Fujitsu Data Intelligence PaaS (DI PaaS) · Fujitsu Kozuchi 
Microsoft Sample May 19, 2025 Pacers Sports & Entertainment (PS&E) Pacers Sports & Entertainment needed a custom captioning system that could keep up with fast, unscripted basketball commentary and deliver accurate live captions and translations to deaf, hard-of-hearing, and… 12 additional languages planned after the initial English and Spanish rollout Azure AI Foundry · Azure AI Speech · Azure Functions IBM Sample May 19, 2025 Inspire Inspire needed to reduce the manual effort in routine HR tasks so employees could complete leave, expense, and insurance requests quickly and the company could offer a more modern employee experience to attract and… 15% boost in productivity, driving business growth and efficiency IBM watsonx Assistant · IBM watsonx.ai · Meta Llama 3 IBM Sample May 19, 2025 Formez PA Formez PA needed a way to standardize public-sector professional profiles, skills, and terminology so agencies could compare roles, exchange data, and collaborate without being blocked by incompatible dictionaries and… 60% expected increase in user satisfaction IBM Cloud · IBM Cloudant · IBM Code Engine MongoDB Sample May 19, 2025 Naologic Naologic needed to build AI-powered ERP applications quickly while avoiding rigid schemas, duplicated search infrastructure, and repeated data remodeling whenever customers connected new internal or external business… Naologic started working on the platform three years ago. MongoDB Atlas · MongoDB Atlas Vector Search MongoDB Sample May 19, 2025 Ignition Ignition needed to automate the go-to-market lifecycle and support retrieval-augmented generation without keeping operational data and vector indexes in separate systems that were harder to synchronize and slower to… "You can literally take a process that takes almost 90 days, like a product launch process, and then get it… MongoDB Atlas · MongoDB Atlas Vector Search Microsoft Sample May 19, 2025 Accenture Accenture's enterprise clients wanted to move past generative AI proofs of concept to production-grade, scalable, compliant applications, but ad hoc development stitched together a dozen tools and could not answer how… 16+ solutions in full production Azure AI Content Safety · Azure AI Foundry · Azure AI Search 
Baidu AI Cloud Sample May 16, 2025 Guangdong Power Grid Guangdong Power Grid needed to modernize customer-service operations with better intent understanding and a self-improving knowledge base because legacy customer-center knowledge was outdated, hard to search, and unable… Intent Recognition · Knowledge Graph · Multi-turn Dialogue Baidu AI Cloud Sample May 16, 2025 China National Building Material Group China National Building Material Group needed to improve truck-to-load matching, lower transport costs and modernize the rapidly growing 'I Need a Truck' logistics platform that supported its bulk-material supply chain. Logistics Map · Logistics Transportation Management System · Smart Dispatch System Baidu AI Cloud Sample May 16, 2025 Geely Holding Group (吉利控股集团) Geely needed a group-wide cloud and data foundation that could support global manufacturing, R&D, and vehicle-intelligence initiatives while protecting internal data, improving collaboration, and giving business teams a… 1,000+ component suppliers collaborate on manufacturing 1+6+N Geely Hybrid Cloud Platform · Baidu Private Cloud · Cockpit Large Model