AI case studies using {model/tool}






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Lionbridge integrated GPT-4 via Microsoft Azure OpenAI Service to automate routine translation tasks and deliver hyper-personalized, multi-language content. They implemented new workflows—including scalable provisioned throughput units and AI-powered tools for creating project-specific glossaries and style guides—to reengineer its translation and localization processes. This integration streamlined operations and enabled employees to shift focus from manual efforts to quality assurance and innovative content solutions.
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Chi Mei Medical Center in Taiwan implemented AI copilots built with Microsoft's Azure OpenAI Service to assist doctors, nurses, pharmacists, and nutritionists in their daily tasks. The copilots summarize patient information from multiple databases into a single interface, automate report generation, and provide personalized patient education materials. This has reduced the time spent on documentation, allowing staff to see more patients and spend more quality time with them.
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MHI implemented TOMONI TALK with ChatGPT by leveraging Microsoft Azure OpenAI Service to automate tasks such as summarization, translation, and draft generation. They built a low-code prototype, conducted an in-house hackathon, and partnered with Zen Architects to integrate a tailored Retrieval Augmented Generation approach using Azure AI Search and robust data management. This solution streamlined internal communication, maintenance, and decision-making processes in power plant operations.
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Cdiscount utilizes Azure OpenAI Service combined with its own AI models to recategorize product sheets, leading to improved product categorization and higher conversion rates.
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IU developed Syntea, an AI-powered study buddy using Azure OpenAI Service, providing students with personalized, interactive learning assistance through natural language interactions, available 24/7 in multiple languages, integrated into their learning platforms.
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The University of Sydney developed Cogniti, an AI platform powered by Azure OpenAI Service, allowing professors to create custom AI teaching assistants to enhance learning and teaching practices.
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Nest Bank modernized its infrastructure by migrating data sources to Microsoft Azure and adopting Azure Databricks, laying the foundation for AI-driven automation. Then, they embedded Microsoft 365 Copilot into daily Microsoft 365 applications to automate meeting preparation, follow-ups, and document creation, streamlining internal workflows.
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Visier, a company specializing in people analytics solutions, developed Vee, a generative AI assistant built using Microsoft's Azure OpenAI Service, leveraging GPT-3.5 Turbo and GPT-4.0 Turbo models. Vee allows managers and leaders to ask complex questions about their workforce and receive intelligent, actionable insights quickly and securely. By integrating Vee into platforms like Microsoft Teams, Visier makes it easier for organizations to access and utilize workforce data for informed decision-making.
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GovDash integrated AI into its government contracting workflow by leveraging Azure OpenAI Service to automate data capture, compliance matrix development, and proposal generation. They implemented an OCR pipeline using Azure Document Intelligence to extract and transform information from PDFs, followed by chained prompts and a Retrieval-Augmented Generation flow to create detailed outlines and proposals in Microsoft Word. This solution automates critical business processes in the contract bidding lifecycle.
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B3 developed a conversational AI assistant using Microsoft’s Azure OpenAI Service and Azure AI Search, integrating it into its free online investment education platform. The assistant was trained on curated in-house educational materials, regulatory documents from Brazil’s securities market regulator, and partner-sourced financial content. Daily retraining and ethical safeguards ensure that novice investors receive clear, compliant explanations of complex financial terms, streamlining digital customer education.
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Boyner uses Azure OpenAI Service and Azure Machine Learning to analyze data faster and generate product descriptions automatically from product photos.
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Visma integrated GitHub Copilot, powered by Azure OpenAI Service, into their development workflow to provide real-time code suggestions and autocomplete features within Visual Studio and Visual Studio Code. They implemented automated code generation for routine tasks and linked it with Azure DevOps pipelines to continuously test and deploy code, reducing context switching. This integration streamlined coding processes, significantly accelerating software development efficiency.
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Hitachi embedded Microsoft’s generative AI tools—including Azure Open AI Service, Copilot for Microsoft 365, and GitHub Copilot—into its Lumada Solutions and JP1 Cloud Services to automate mission-critical system development, enhance customer service with faster alert response times, and improve predictive maintenance for rail infrastructure. They implemented these integrations across multiple business workflows and launched a comprehensive training program for over 50,000 GenAI Professionals to upskill 270,000 employees, driving measurable improvements in productivity and operational efficiency.
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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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Chanel uses Microsoft's AI tools including Azure OpenAI Service, Microsoft Fabric, and Microsoft 365 Copilot to enhance client experience, operational excellence, and employee efficiency. They leverage generative AI to provide personalized recommendations, streamline employee tasks, and develop augmented clienteling apps, knowledge-based search, and training bots.
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AXA, a leading global insurance and asset management company, developed AXA Secure GPT, a secure generative AI platform powered by Azure OpenAI Service, to provide their 140,000 employees with access to generative AI tools within a secure and reliable environment. They implemented content filtering, data protection measures, authentication, and audit trails to ensure data safety and compliance with regulations like GDPR, and offered training and a prompt library to help employees use the platform efficiently.
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Petrobras, a Brazilian energy company, developed ChatPetrobras using Azure OpenAI Service to help employees summarize reports, rewrite and translate text in documents, emails, and Teams messages. Hosted on Azure infrastructure, the tool ensures data privacy and compliance with government regulations. It is available to 110,000 users and also assists IT staff in generating code, improving productivity across the organization.
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KPMG uses Microsoft Copilot for Microsoft 365 and Azure OpenAI Service to enhance productivity and automate ESG compliance checks. This includes expediting data discovery, automating manual tasks, and improving collaboration via Microsoft Teams, ultimately enabling subject matter experts to focus on more complex work.
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Onepoint, a global consulting and technology firm, implemented Microsoft Azure OpenAI Service to develop a secure conversational agent named Neo utilizing GPT technology to assist employees in tasks like generating interview reports and analyzing contracts. They also deployed GitHub Copilot to improve code quality and productivity among developers.
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Sasfin Bank's legal team adopted Legal Interact's Contract Corridor, built on Azure, to centralize 20,000 documents and enhance contract management. Using Azure Cognitive Services for OCR and Azure OpenAI Service, the platform enables advanced search and AI-powered analysis of contract clauses, facilitating efficient tracking of obligations and key dates.
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