In-house Sample Jan 10, 2023 United States Navy The U.S. Navy needs to process very large volumes of combat-system data quickly enough to improve situational awareness, detect and identify emerging threats, and reduce operator reaction time, including against… Aegis Combat System · Aegis Fire Control system · Naval radars 
Microsoft Sample Jan 9, 2023 Żabka Group As the largest modern convenience store chain in Poland, Żabka Group has made it its mission to understand and anticipate the needs of its customers—providing products and services that make their lives easier. Now, the… Now, an estimated 15.5 million consumers live within 500 meters of the nearest Żabka store and, recently, the… Microsoft Azure · Microsoft Cloud for Retail Microsoft Sample Jan 5, 2023 Bayernwerk Netz GmbH Bayernwerk's transformer-station commissioning process relied on paper forms, manual image uploads, and back-office re-entry into SAP, creating weeks-long delays, human error, and difficulty keeping computer-vision… 250,000 euros annually savings Azure · DXC MLOps Quickstart for Microsoft Azure · NEXT.SwitchON 
AWS Sample Jan 1, 2023 Swoop Aero Swoop Aero needed a highly scalable and reliable cloud platform to coordinate autonomous aircraft in difficult connectivity environments while using analytics and computer vision to keep remote drone operations safe. approved to fly in 14 countries AWS IoT Core · AWS IoT Device Shadow · AWS Lambda AWS Sample Jan 1, 2023 Faraday Lab To scale its LLMs , Faraday Lab migrated to Amazon Web Services (AWS). By using AWS and working with Data Reply France , an AWS Partner , Faraday Lab reduced LLM training time, increased inference speed, and maintained… 14 million AWS Inferentia · Amazon SageMaker AWS Sample Jan 1, 2023 Merck Merck wanted to reduce false rejects in pharmaceutical manufacturing so it could get life-saving drugs to customers faster while maintaining product safety. AWS DataSync · AWS Glue · Amazon Kinesis AWS Sample Jan 1, 2023 Gimba Gimba is a Brazilian retail and supply chain leader, responsible for the chains of 300 of the 500 largest companies in Brazil, scheduling all deliveries, quality standards, and defining SLAs for restocking. 10% online search growth expectation Amazon Bedrock · Amazon SageMaker AWS Sample Jan 1, 2023 Forethought Technologies As the company continued to grow and gain new customers, it wanted to improve the availability of its solution and reduce costs. To meet its scalability, availability, and cost-optimization needs, Forethought chose to… By migrating some of its classifiers to Amazon SageMaker Serverless Inference, Forethought saved around 80… Amazon EKS · Amazon SageMaker · Amazon SageMaker Model Deployment AWS Sample Jan 1, 2023 AVANTGARDE Group AVANTGARDE wanted to offer companies a new way to elicit attendee feedback from off-line events without using postevent surveys, which tend to have low participation rates. “Building everything from scratch ourselves… Making Events Measurable Founded in 1985 as an event agency, AVANTGARDE has developed into a globally active… AWS IoT Greengrass · AWS Security Hub · Amazon SageMaker 
SLB Sample Oct 22, 2022 Pertamina Hulu Mahakam Pertamina Hulu Mahakam needed to reduce the time required for property modeling. property modeling time from 4 weeks to 4 days In-house Sample Aug 9, 2022 Singapore General Hospital Singapore General Hospital needed to curb inappropriate antibiotic prescribing and antimicrobial resistance, but its antimicrobial stewardship team could manually audit only a limited subset of prescriptions and could… 11.5% — as compared to the full review process, which identifies 4% of all cases for intervention linked data repositories · operational AI model · proprietary electronic medical records (EMR) system 
Alibaba Cloud Sample Jun 9, 2022 Beida Yinghua (北大英华) Beida Yinghua needed to keep a very large legal-information service fast, trustworthy, and secure as its user base and content corpus kept growing. The company wanted stronger search speed, richer multidimensional… 1 million+ registered individual users Cloud hosts · Data warehouse · Elasticsearch Alibaba Cloud Sample Jun 7, 2022 Chongcheng Technology (冲程科技) Chongcheng Technology needed a digital platform that could standardize agricultural operations across fragmented fields and connect sensors, equipment, imagery, and lab data into one decision system. Traditional… digital agriculture currently accounts for only about 1% of the sector ApsaraDB · CCtech Industrial Internet PaaS Platform · Content Security Alibaba Cloud Sample May 17, 2022 PowerLaw AI (幂律智能) Small and mid-sized businesses needed contract review and management tools that could identify legal risk without forcing every document through slow manual legal review. PowerLaw AI also needed a way to productize its… Alibaba Cloud Industry Cloud · DAMO Academy machine-intelligence products · Me-Check Microsoft Sample Apr 5, 2022 unknown The company needed to generate more accurate fixed-price aircraft maintenance, repair and overhaul (MRO) sales quotes by predicting likely defects, turnaround time, and required tools, assets, labor, and budget, because… AI model · Microsoft Azure-based Aviator platform · cloud-based sales quote application Alibaba Cloud Sample Mar 17, 2022 Yingzhicheng (硬之城) Yingzhicheng wanted to turn a fragmented electronics supply chain into a transparent, digital, end-to-end operating model for small and midsize hardware companies. Its earlier web platform offered limited upstream and… 12.95 million+ SKU merchandise records ACR · Cloud-native K8s platform · Dedicated DingTalk Alibaba Cloud Sample Feb 23, 2022 Xiangnong Technology (香侬科技) Xiangnong Technology needed a cost-effective but production-grade AI stack for Chinese NLP products that span writing assistance, document intelligence, public-opinion analysis, and government workflows. As a… FireDragon Writing registrations grew 1500% in one year AKS · AMD instances · Cloud Monitor Alibaba Cloud Sample Dec 17, 2021 Zhongkewenge (中科闻歌) Zhongkewenge needed scalable cloud infrastructure for data-intensive media, city-governance, and decision-intelligence products. Its workloads involved frequent large-scale storage reads, multilingual and multimodal AI… accumulated 3000+ self-developed core algorithms Elastic Compute Service (ECS) · HBase · Hadoop big-data system Alibaba Cloud Sample Dec 16, 2021 Tuiwen Technology (推文科技) Tuiwen Technology had built AI systems for translating, generating, and distributing Chinese online literature overseas, but the platform needed much stronger monitoring and log retention as its scale grew.… 15 minutes per book for AI production and distribution AI production distribution system · AI translation generation distribution system · Elastic Compute Service (ECS) In-house Sample Oct 21, 2021 PepsiCo PepsiCo needed to use large, diverse data sets across farming, manufacturing, merchandising, consumer insight, and product development to improve forecasting, product quality, maintenance, sustainability, and speed of… less than 12 months 
Google Cloud Sample Aug 4, 2020 Best Buy Best Buy uses generative AI to simulate a human-like shopping assistant, helping customers select thoughtful gifts by understanding their preferences. Meanwhile, summarization capabilities help the team condense… Developed product Q&As at a fraction of the previous cost Gemini · Gemini platform 
Salesforce Sample Broughton Partners Broughton Partners needed to move mass-tort claimant cases through its intake and confirmation work quickly while maintaining high case quality. Its audit work required distinguishing checks suited to predictable… 10 reduction in claimant drop-off Agentforce · Apex · Mulesoft Google Cloud Sample FLORA FLORA needed to provide professional creative teams with fast, reliable AI workflows for text, image, and video while protecting clients' proprietary branding and unreleased assets. Third-party model aggregators… Decreases image generation latency by 26% BigQuery · Flash Lite · Gemini In-house Sample Capita Capita wanted to remove manual administrative burdens, accelerate decision making, and improve auditability and consistency in internal workflows such as training bookings and fire risk assessment review. 40 unique AI use cases AI agent · AI for Business Value, Level 4 · Multiverse