IBM Sample Mar 25, 2025 Nelen & Schuurmans Nelen & Schuurmans wanted to make its Rana water-intelligence platform easier to use by turning complex documentation and workflows into guided assistance for hydrodynamics modeling users. 2,132% ROI for paid code-generation prompt packs IBM watsonx.ai · IBM watsonx.data 
Databricks Sample Mar 25, 2025 Estapar However, as the company grew, they faced significant challenges in managing and extracting value from their expanding data landscape. 20x Productivity boost — delivering the work of 100+ people with just 5 Apache Spark Declarative Pipelines · Delta Lake · Lakeflow Jobs Databricks Sample Mar 24, 2025 NTT DOCOMO However, the degree of utilization within the company was uneven, which impacted their ability to visualize the status of utilization and extract insights to enhance functionality and performance. As a result, NTT… 90% More efficient analysis of LLM usage Agent Bricks · Databricks SQL · Genie 
LangChain Sample Mar 24, 2025 Vodafone Vodafone needed to give data-center engineers faster access to performance metrics, inventory information, and technical documentation without forcing them to rely on custom dashboards, manual SQL, or slow document… Enigma · Google Cloud · Insight Engine 
Snowflake Sample Archived · Mar 23, 2025 RAC consolidate fragmented service data so agents could get faster context and make better roadside-assistance and customer-service decisions. 2-3 days to turn insights into action – previously months Cortex AI · Snowflake Snowflake Sample Archived · Mar 22, 2025 tesa unify machine, API, ERP, and marketing data on one platform so tesa could detect manufacturing anomalies, simplify customer reporting, and experiment with generative AI without building its own stack. 10 Terabytes of data managed Cortex AI · Snowflake Snowflake Sample Archived · Mar 22, 2025 S&P Global Market Intelligence build a unified ML pipeline that could mine terabytes of web data from millions of private companies without costly data movement or fragmented infrastructure. 200M+ webpages mined for data to enhance risk assessment Snowflake · Snowpark · Snowpark Container Services Snowflake Sample Archived · Mar 22, 2025 Etam give business teams a central platform for retail data so they could forecast better, optimize inventory, and use AI without a large engineering staff building custom connectors. 50-100% less engineering effort for data users Cortex AI · Snowflake 
OpenAI Sample Mar 21, 2025 MEO Portugal MEO's legal analysts had to handle a steady stream of regulatory requests that required cross-referencing corporate legal records and manually processing large volumes of legal documents, consuming significant time and… AI assistant · ChatGPT · controlled, private document repository OpenAI Sample Mar 21, 2025 Commonwealth of Pennsylvania Pennsylvania wanted to reduce time spent on drafting, research, summarization, IT support, procurement, contract analysis, and other administrative work across state agencies while keeping human oversight, transparency,… 175 employees from 14 agencies used ChatGPT Enterprise ChatGPT Enterprise 
MongoDB Sample Archived · Mar 20, 2025 DevRev Using MongoDB Atlas to consolidate data and boost efficiency for DevRev The mechanics of running a modern business are complex, involving many separate teams and systems — from customer relationship management (CRM) and… MongoDB Atlas · MongoDB Atlas Vector Search 
Infosys Sample Archived · Mar 19, 2025 Wella Wella needed to respond to changing beauty-market dynamics and declining traditional salon profitability as professionals shifted to freelance models. Its existing approach did not provide the cohesive digital ecosystem… advanced AI features · education platforms · external eRetailers 
NVIDIA Sample Archived · Mar 19, 2025 Astellas Pharma Inc. Astellas needed to shorten early-stage drug discovery by predicting antibody properties and generating candidate molecular structures faster, but generic protein language models and conventional conformational screening… 2.4 billion sequences ESM-1nv · NVIDIA BioNeMo · NVIDIA DGX A100 Databricks Sample Mar 19, 2025 Addepar Addepar needed a better way to support investment data unification, client onboarding, and advisor analytics because rapid growth in assets under management made disparate datasets and long pipeline lead times too slow… $2M faster pipeline development, accelerating client onboarding Agent Bricks · Databricks Data + AI Platform · Databricks SQL Databricks Sample Mar 18, 2025 Tabcorp Tabcorp needed a better way to support multichannel wagering personalization, responsible gaming, and enterprise generative AI because fragmented systems delayed customer insight, compliance preparation, and knowledge… $1.75M improvement in data analyst productivity Agent Bricks · Databricks Data + AI Platform · Delta Lake 
Capgemini Sample Mar 17, 2025 Fresenius Digital Technology Fresenius Digital Technology needed a scalable global IT support channel that improved user access and ticket resolution without adding a separate external technology stack. More than 130,000 FreDi interactions since the initial go-live in September 2023 FreDi · Microsoft Teams · ServiceNow 
Alibaba Cloud Sample Mar 14, 2025 Midea Building Technologies (美的楼宇科技) Midea Building Technologies had a large and fast-growing stream of semi-structured IoT equipment data, but its earlier environment focused on storage and basic use rather than deeper analytical and AI-driven value… aggregated 100-billion-scale data at million-level dimensionality Cloud Kafka · Data Lake Formation (DLF) · EMR Serverless Spark 
In-house Sample Mar 14, 2025 Chevron Chevron needs to keep energy assets operating reliably, detect issues such as leaks early, and improve subsurface decision-making so crews can maintain safe, efficient production while supporting rising power demand… a second Percepto system in Colorado Percepto system Databricks Sample Mar 14, 2025 Scatter Lab However, as a startup, building their own LLM presented a number of practical constraints. 1.5 Million Users Secured in just nine months after launching Agent Bricks 
Microsoft Sample Mar 13, 2025 Repsol Repsol found that everyday knowledge-work tasks such as summarizing content, pulling key information, and managing emails were consuming time that employees could otherwise spend on higher-value strategic work, so it… 121 minutes per week saved per average employee Microsoft 365 Copilot · PowerPoint · Word OpenAI Sample Mar 12, 2025 Zendesk Zendesk needed to move beyond intent-classification bots that failed on nuance, follow-up questions, and edge cases, while reducing setup time and letting customers automate more service work without rebuilding their… Evaluate, test, and deploy new models in under 24 hours AI reasoning controls · Conversational RAG agent · GPT-4o In-house Sample Mar 11, 2025 General Motors General Motors wanted to improve safety, quality, ergonomics, planning speed, and operational efficiency across its global manufacturing footprint while reducing downtime in highly competitive vehicle production. AI and machine learning · digital twins · proprietary AI tool In-house Sample Mar 11, 2025 Unilever Unilever needed to understand complex biology, microbiome behavior, and underserved consumer cohorts more effectively so it could develop differentiated beauty and personal care products faster and with fewer physical… 1,000 experiments AI · MicroMoisture technology · Polycultural Centre of Excellence (PCOE) IBM Sample Mar 11, 2025 SLTN SLTN’s five-person HR team was overwhelmed by a steady volume of basic and sensitive employee questions, and employees sometimes waited two to three days for HR answers that should have been available instantly. more than 600 employees Active Directory · IBM watsonx Assistant · IBM watsonx.ai