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500+ battle-tested AI case studies to supercharge your strategy
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Efficient content creation
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Orange leverages Microsoft Azure OpenAI Service and GitHub Copilot to implement over 40 AI use cases across departments like customer service, marketing, communications, network operations, and software development. Applications include rewriting customer FAQs in a warmer tone, generating product sheets, a marketing research search engine, and assisting developers with code completion using GitHub Copilot.
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Reduced analysis time from 20 minutes to less than 3 minutes in fiber after-sales service; employees save time and focus on higher value-added activities.
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13
AI use cases in
Telecommunications
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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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Bell Canada has built customizable contact center solutions for its business customers that offer AI-powered agents to address callers, and Agent Assist, which listens when a human agent is on, offering suggestions and sentiment analysis.
Telecom Italia (TIM) implemented a Google-powered voice agent to address many customer calls.
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224
companies using
Employee Agents
Orange uses Anthropic's Claude to automate manga translation, combining translation agent models with inpainting technology and direct image input to handle visual elements, streamlining localization and allowing translators to focus on nuance.
Uber uses OpenAI's ChatGPT Enterprise to enhance customer support by providing AI assistants that offer empathetic and efficient responses, automate investigations, and augment human agent capabilities. The AI also helps personalize and optimize interactions across their multi-sided platform.
Amazon uses Claude to power their AI-driven customer service assistant, Amazon Q in Connect, which serves agents and end-customers. It provides real-time AI assistance to agents handling complex cases and offers end-customers instant, personalized self-service options.
143
solutions powered by
Microsoft
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.
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.
Acentra Health developed MedScribe, a web app that uses Azure OpenAI Service to generate draft letters responding to healthcare service appeals.
105
AI use cases in
Europe
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.
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.
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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