OpenAI Sample May 5, 2025 Lowe's Lowe's needed to give DIY shoppers and store associates project-specific guidance across thousands of products and 1,700 stores while also improving merchandising, forecasting, and supply-chain decisions without making… 1,700 stores Mylow · Mylow Companion · OpenAI's APIs 
IBM Sample May 1, 2025 Lockheed Martin Lockheed Martin needed to unify many disconnected data systems so it could build enterprise AI safely and at scale, because fragmented tools and data silos were slowing both analytics and the next generation of… 10,000 engineers can build in the AI Factory IBM Granite · watsonx Orchestrate · watsonx.data 
Alibaba Cloud Sample Apr 30, 2025 Leyan Technology (乐言科技) Leyan Technology's intelligent customer-service robot had to route enormous amounts of dialog traffic for ecommerce brands, but the company's self-built Kafka environment was becoming expensive, hard to scale, and too… LeYu Zhuren serves more than 20 million interactions per day LeYu Zhuren · Leyan GPT · Message Queue for Apache RocketMQ Serverless 
Microsoft Sample Apr 30, 2025 NatWest Group NatWest Group wanted to give colleagues secure, compliant generative AI tools that help them find information, summarize documents, draft content, and work more efficiently at bank-wide scale. 99% of our colleagues AI Digital Enabler for NatWest · Microsoft Copilot Chat 
MongoDB Sample Apr 30, 2025 Questflow Our vision is to create a new way of working in the future.” Bob Xu Co-founder and CEO, Questflow THE CHALLENGE Building personalized and dynamic AI agents In the era of AI, having AI agents is now a trend. MongoDB Atlas · MongoDB Atlas Vector Search 
NVIDIA Sample Apr 30, 2025 Skyrim.AI Skyrim.AI needed to deliver real-time, broadcast-quality spatial media for sports, but volumetric capture from dozens of cameras created interoperability, reconstruction, networking, and data-throughput challenges that… 120 frames per second Atlas platform · GPUDirect Storage · NIM Alibaba Cloud Sample Apr 29, 2025 Chanmama Chanmama needed a better retrieval stack for similar-product recommendation and creator merchandising. Its prior vector-search approach and self-managed Spark cluster struggled with high-dimensional search performance,… offline task runtime fell 40% EMR Serverless Spark · Vector Search Service Milvus Edition IBM Sample Apr 29, 2025 IBM Finance IBM's finance team needed to reduce the manual effort, long cycle times, and validation inconsistencies involved in preparing and submitting journal entries across multiple systems, especially during financial close… >90% reduction in cycle time possible IBM Apptio Enterprise Business Management · IBM Business Automation Workflow · IBM watsonx Orchestrate 
In-house Sample Apr 28, 2025 Lufthansa Group Lufthansa Group wanted to measure and reduce onboard food waste and improve catering loading decisions by understanding what meals passengers actually consume on different flights, routes, classes, and meal concepts. Pendle · Tray Tracker 
Baidu AI Cloud Sample Apr 28, 2025 State Grid Xinjiang Electric Power Co., Ltd. State Grid Xinjiang needed a safer and more scalable way to monitor transmission lines, replace manual inspections and centralize real-time operational control across its power-grid infrastructure. Drone inspection reduced 60% of manual inspection workload. 3D Line Model · AI Middle Platform Solution · Data Processing Center Baidu AI Cloud Sample Apr 28, 2025 State Grid Shandong Electric Power State Grid Shandong needed to make AI practical across customer service, line safety and internal document work in an enormous utility environment where traditional business processes were slow and heavily manual. Common electricity-service handling time fell 70%. AI Middle Platform · BML Full-Function AI Development Platform · Facial Recognition Alibaba Cloud Sample Apr 25, 2025 Hillstone Networks (山石网科) Hillstone Networks needed to accelerate software delivery for its security product portfolio while protecting source code and keeping AI assistance inside enterprise governance boundaries. Traditional development… 90%+ of developers use Qoder CN daily Bailian · DeepSeek-R1 · Qoder CN Dedicated Edition MongoDB Sample Apr 25, 2025 SiCepat Ekspres SiCepat Ekspres needed to replace a monolithic SQL Server logistics platform that struggled with real-time order and delivery data as Indonesia’s e-commerce growth drove a rapid increase in package volume. Processing time was reduced by more than 98% from three hours to around two minutes. MongoDB Atlas · MongoDB Atlas Online Archive · MongoDB Realm MongoDB Sample Apr 25, 2025 One AI “They are spread across use cases in multiple domains, from analyzing financial documents to AI-automated video editing.” THE CHALLENGE Focus on what you do best One AI’s main objective as a platform is to use AI to… One AI Talk to an Expert One AI brings language-based AI to over 150 million documents worldwide Innovative… MongoDB Atlas MongoDB Sample Apr 25, 2025 Relevance AI Relevance AI Talk to an Expert Relevance AI agents deliver 3,000% ROI for clients with MongoDB Industry Transportation & Logistics Product Atlas Vector Search MongoDB Atlas Use Case Logistics Optimization THE CHALLENGE… “A typical AI agent that’s running well can deliver an ROI of around 3,000% for the customer,” said Koh. MongoDB Atlas · MongoDB Atlas Vector Search MongoDB Sample Apr 25, 2025 Paychex Paychex needed a secure way to help call-center representatives answer complex payroll, benefits, and compliance questions faster while using feedback and interaction data to keep improving its new AI assistant. MongoDB Atlas was deployed in less than one month and can help Paychex deploy a full dataset across data… ChatGPT · MongoDB Atlas NVIDIA Sample Archived · Apr 25, 2025 AT&T AT&T needed to scale AI-powered customer-care agents without letting latency, operating cost, stale documentation, or model drift degrade the quality of service delivered across a massive and constantly changing support… 84% decrease in call center analytics cost NVIDIA AI Enterprise · NVIDIA NIM · NVIDIA NeMo Curator Microsoft Sample Apr 25, 2025 Holland America Line Holland America Line wanted to provide even faster, more personalized support for customers—without driving up contact center volumes or running a traditional chatbot. Multi-intent detection: Ability to understand queries such as “Help me find a cruise to Alaska for 6 to 8 days… Application Insights · Azure Monitor · Bing Search APIs 
EY Sample Archived · Apr 24, 2025 EY EY wanted enterprise-scale generative AI that employees could use in a private, secure environment, but off-the-shelf tools lacked EY-specific context and raised data privacy, information security, governance and… 81% adoption rate Azure OpenAI service · EY Fabric · EY.ai EYQ Alibaba Cloud Sample Apr 24, 2025 Deep Potential (深势科技) Deep Potential needed infrastructure for AI-for-science workloads whose compute demand could spike to hundreds of thousands of cores and whose data path had to support heterogeneous compute pools, hot small files, rapid… phd and postdoc staff account for more than 35% of the company Container Compute Service (ACS) · Container Service for Kubernetes (ACK) · Elastic Compute Service (ECS) 
Confluent Sample Archived · Apr 24, 2025 Swiggy Swiggy needed to replace self-managed Kafka so it could scale delivery operations, predictions, and recommendations during peak demand without spending engineering time on infrastructure management. 680 cities Apache Flink · Confluent In-house Sample Apr 23, 2025 Last Mile Health Last Mile Health found that medical and community health advice delivered through Ethiopia's new health-system call centers was not standardized across districts, while community health workers could not realistically… 10 local call centers embedded within the country's health system HEP Assist · case management system · question-answering service 
Databricks Sample Apr 22, 2025 Mondelēz International Mondelēz International needed a better way to support enterprise-scale model experimentation, model serving, and AI-driven decision support because siloed data and disconnected model development workflows kept… 20K scaling ai innovation to drive revenue, efficiency and growth Databricks Data + AI Platform · Delta Sharing · Lakeflow Jobs 
LangChain Sample Apr 22, 2025 Trellix Trellix needed to reduce a backlog of cybersecurity integration and log-parsing requests that forced engineers to spend days deciphering syslog data, coding plugins, and coordinating with customers by hand. 2 to 3 days deciphering logs, coding integrations, and managing customer communications LangGraph · LangGraph Studio · LangSmith