Microsoft Sample Jun 5, 2023 John Hancock At the onset of the COVID-19 pandemic, John Hancock's customer contact centers—like other customer contact centers around the world—saw a spike in traffic and the company sought ways to ensure their customers continued… "Introducing conversational AI via a virtual assistant has helped us take a bold step forward in our… Azure · Azure AI Bot Service · Microsoft Teams Microsoft Sample May 30, 2023 BHP BHP wanted to optimize concentrator performance and improve copper recovery at its Escondida mine as existing mine grades decline and more value must be extracted from existing resources. Azure platform 
Capgemini Sample May 26, 2023 Hospital Ramón y Cajal, Hospital 12 de Octubre, and Hospital San Pablo The three hospitals needed a faster way to review chest X-rays during COVID surges because expert interpretation was time-intensive and specialist capacity was limited. 24% increase in model performance relative to local models Intel Xeon Scalable processors · Software Guard Extensions (SGX) · computer vision model 
Databricks Sample May 24, 2023 Ahold Delhaize Ahold Delhaize needed to let many engineering teams build data and AI pipelines independently because older deployment and cluster patterns were too slow and expensive at group scale. 4.5x Auto Loader · Databricks Data + AI Platform · Delta Lake 
ServiceNow Sample Archived · May 23, 2023 PLDT PLDT and Smart were limited by legacy VPN-dependent systems and disconnected service processes that slowed mobile access, customer response times, and employee referrals. $1.52M Revenue generated via employee referrals App Engine · Automation Engine · Customer Service Management Pro Microsoft Sample May 23, 2023 Swift Swift needed to improve fraud and anomaly detection for global financial transactions without copying or moving sensitive member data out of secure locations. Over 11,500 financial institutions worldwide Azure Machine Learning · Azure confidential computing · Microsoft Purview Microsoft Sample May 23, 2023 Nota These tools do a lot of the heavy lifting needed to optimize stories for distribution and turn written pieces into engaging videos that can produce up to 10 times as much revenue as written pieces. According to the National Trust for Local News , 53 percent of small news outlets in the United States are… Azure · Azure AI Services · Azure OpenAI Service 
AWS Sample May 22, 2023 The Mill Adventure The Mill Adventure needed to help iGaming customers enter regulated markets quickly, personalize player experiences, and monitor safety and compliance while coping with very large volumes of player-generated data. double its customer base in 1 year AWS CloudFormation · AWS Lambda · Amazon Athena Microsoft Sample May 18, 2023 AT&T AT&T's purpose is to create connection to friends, family, work, commerce, education, health, entertainment and more. To deliver on that purpose, the company is exploring how to use technology to help automate some… Azure · Azure OpenAI Service 
In-house Sample May 16, 2023 Intesa Sanpaolo Intesa Sanpaolo's supervisory strategy team faced information overload from the massive and fast-growing volume of banking supervision publications, best practices, statements, interviews, and studies, making manual… thousands of publications on banking supervision Lisa (Linguistic Intelligence for Supervisory Awareness) Microsoft Sample May 10, 2023 Reddit Reddit needed to generate high-quality alt text for millions of existing images and hundreds of thousands of daily uploads so it could improve accessibility and search discoverability. hundreds of thousands more uploaded each day Azure Cognitive Service for Vision 
Oracle Sample Est. · May 6, 2023 Munich Re HealthTech Munich Re HealthTech's UREMA (UnderwRiting Engine MAnager) underwriting platform—deployed by Munich Re and PartnerRe and used by 70+ life and health insurers in 30+ countries—needed self-service AI to give underwriters… 70+ life and health insurance customers in 30+ countries OCI Generative AI · Oracle AI Vector Search · Oracle APEX Microsoft Sample Apr 28, 2023 MDLIVE for Cigna The company wanted to predict seasonal fluctuations of illnesses to reduce patient wait times and better balance the workloads of its medical professionals. "In 2022, we saw about 25 percent higher patient volume than in 2021," says Bergquist. Azure DevOps · Azure Machine Learning AWS Sample Apr 17, 2023 Amazon Ads Amazon Ads needed to deliver relevant product suggestions to online shoppers at the scale of tens of billions of impressions each day while serving hundreds of millions of deep learning requests per second with very low… Now, the company’s machine learning models recommend relevant products to customers in 20 markets. Amazon ElastiCache · Amazon Kinesis · Amazon SQS Databricks Sample Apr 17, 2023 104 Corporation Due to their extensive network of job advertisers and customers, 104 Corporation has access to terabytes of highly valuable, private data, including personal information, engagement details, and transaction information.… 25% Reduction in time-to-market of new features Databricks Data + AI Platform · Databricks Lakeflow · Databricks SQL Capgemini Sample Apr 6, 2023 Chevron Phillips Chemical Chevron Phillips Chemical needed to modernize its digital tooling, expand its cloud footprint, and turn operational data into AI-assisted decisions that could improve reliability, production, and supply-chain… 52 value cases Microsoft Azure · modern data and AI platform · plant-optimization tools 
Alibaba Cloud Sample Apr 4, 2023 Dadi Quantum (大地量子) Dadi Quantum needed to turn PB-scale satellite, drone, and sensor data into precise weather and renewable-power forecasts, but training end-to-end AI meteorology models and serving a cloud-native spatial data platform… integrates nearly 100 satellite, drone, and sensor data sources AI meteorology model · Alibaba Cloud GPU instances · Cloud Parallel File Storage (CPFS) Alibaba Cloud Sample Apr 4, 2023 Xiangji Technology (象辑科技) Xiangji Technology needed a cost-effective way to process and serve massive weather-observation, numerical-model, and satellite datasets. Accurate commercial weather forecasting depends on heavy computation and constant… AI-Weather · Cloud-native containers · Elastic Compute Service (ECS) Alibaba Cloud Sample Apr 4, 2023 Jiage Tiandi (佳格天地) Jiage Tiandi needed a scalable way to turn satellite remote sensing, IoT telemetry, weather data, and agricultural expertise into usable operational intelligence. Traditional local data-center deployments were not… ApsaraDB RDS · Elastic Compute Service (ECS) · Object Storage Service (OSS) 
TCS Sample Apr 2, 2023 Tata Chemicals Limited Tata Chemicals needed to reduce process variation and fuel consumption in its Mithapur plant's carbonation towers and high-pressure boilers, but operators lacked enough historical equipment data and timely analytics to… $600,000 in cost savings annually data historian · decision support systems (DCS) · digital twin Microsoft Sample Mar 29, 2023 HelloTalk HelloTalk needed scalable AI services that could make language learning more immersive, accessible, and personalized for a globally distributed user base. support for over 160 languages Azure AI services · machine translation · pronunciation assessment 
Huawei Cloud Sample Est. · Mar 28, 2023 Square Kilometre Array (SKA) Observatory The SKA Observatory needs to process and manage extremely large radio astronomy datasets generated by telescope arrays in remote locations, while using power-efficient hardware and making the data usable for astronomers… About 600 PB of data will be archived during phase 1 of the project AI techniques · SKA regional centers · high-performance computing system ServiceNow Sample Archived · Mar 24, 2023 A1 Telekom A1 Telekom needed to eliminate historic operational discontinuities across sales, support, and operations so it could deliver faster, more self-service-oriented B2B customer support on a single standardized platform. 1 Standardized platform consolidating multiple systems Customer Service Management · IT Service Management · ServiceNow mobile app Microsoft Sample Mar 16, 2023 KPMG Brad Brown, Global Technology leader and CIO for Tax at KPMG, and Rafiq Jalal, Principal at KPMG, Cloud and Data Strategy, spoke with us about how KPMG is putting Azure OpenAI Service to work. Jalal says, “There’s been demonstrable value on day one, that changes your perspective about success.” The KPMG… Azure OpenAI Service