Seamless hybrid cloud management
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LALIGA, one of the largest football leagues in the world, deployed Microsoft Azure Arc to manage its hybrid infrastructure and ensure low latency at its 42 stadiums. It uses AI in Azure to optimize match scheduling and other key operations, providing an engaging fan experience.
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Improved internal productivity, enhanced security, and delivering an engaging fan experience with low latency at stadiums.
8
AI use cases in
Sports
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England’s Football Association is training Vertex AI on the FA's historical and current scouting reports so they can be transformed into concise summaries, helping national teams discover future talent.
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Formula E can now summarize a two-hour long race commentary into a 2-minute podcast in any language, incorporating driver data and ongoing seasonal storylines.
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The NFLPA, which represents professional football players, partnered with Microsoft and Xoriant to develop an AI solution using Azure AI Services to analyze practice video footage from all 32 teams. The AI tool automatically identifies potential rule violations in offseason practices, significantly reducing the time staff spend reviewing footage and enhancing player safety.
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116
companies using
Data Agents
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LaunchNotes leverages Claude in Amazon Bedrock in their product 'Graph' to transform engineering data into actionable insights. Graph functions as an ETL platform with Claude managing data pipelines, helping engineering managers understand development metrics, reduce incident identification time, automate updates, and generate customized release notes and technical documentation.
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Snowflake integrated Anthropic's Claude into their platform to enable natural language queries on complex databases, allowing customers to extract insights without SQL expertise while maintaining security and governance.
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Rogo, an AI finance platform, uses OpenAI's GPT-4 to provide real-time financial intelligence to investment professionals, automating tasks like meeting prep, company profiling, and market research. By fine-tuning OpenAI's models and integrating financial datasets like S&P Global, Crunchbase, and FactSet, Rogo helps shift focus from manual work to high-value decision making.
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143
solutions powered by
Microsoft
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Vodafone uses Azure OpenAI Service, Azure AI Foundry, Microsoft Copilot, and Azure AI Search to enhance their virtual assistant TOBi and develop SuperAgent to assist customer service agents. TOBi uses conversational AI to handle customer inquiries, while SuperAgent helps agents solve complex problems faster.
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Medigold Health, a UK occupational health provider, used Microsoft Azure OpenAI Service to automate medical report generation, reducing the time clinicians spend on paperwork. By integrating Azure OpenAI Service with Azure App Service, Azure Cosmos DB, and Azure SQL Database, they developed an AI application that generates reports from clinicians' consultation notes in about 15 seconds, allowing clinicians to focus more on patient care.
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Acentra Health developed MedScribe, a web app that uses Azure OpenAI Service to generate draft letters responding to healthcare service appeals.
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105
AI use cases in
Europe
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Vodafone uses Azure OpenAI Service, Azure AI Foundry, Microsoft Copilot, and Azure AI Search to enhance their virtual assistant TOBi and develop SuperAgent to assist customer service agents. TOBi uses conversational AI to handle customer inquiries, while SuperAgent helps agents solve complex problems faster.
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Medigold Health, a UK occupational health provider, used Microsoft Azure OpenAI Service to automate medical report generation, reducing the time clinicians spend on paperwork. By integrating Azure OpenAI Service with Azure App Service, Azure Cosmos DB, and Azure SQL Database, they developed an AI application that generates reports from clinicians' consultation notes in about 15 seconds, allowing clinicians to focus more on patient care.
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Zalando worked with OpenAI to develop the Zalando Assistant, an AI-powered tool powered by GPT-4o mini that provides personalized content recommendations and streamlines product discovery across 25 markets in over 20 languages. They enhanced their evaluation framework with component-specific evaluations and improved few-shot prompting, and migrated from GPT-3.5 to GPT-4o mini for better multilingual and instruction-following capabilities.
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