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Use case
Unified asset analytics
Context

Network Rail implemented an AI-driven analytics platform called "insight" leveraging Azure Databricks and Azure Machine Learning to process vast amounts of data from its extensive railway infrastructure. The solution integrated diverse data streams—including track geometry, ultrasonic testing, and weather data—using Azure Data Factory and delivered visual insights through Power BI to enable predictive maintenance and efficient asset management. Agile collaboration with Microsoft architects streamlined maintenance scheduling and transformed labor-intensive processes into near real-time, cost-effective decision-making workflows.

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Use case
Efficient internal info retrieval
Context

Nagel-Group uses Azure OpenAI Service to create NagelGPT, an AI chatbot integrated into Microsoft Teams, allowing employees to ask questions about topics like works agreements and sales contracts and receive automated responses with references to relevant documents, improving efficiency and transparency.

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4
Use case
Enhanced employee productivity
Context

Asahi Europe & International (AEI), a global brewer, adopted Microsoft Copilot to enhance productivity and foster innovation across its teams. They distributed 300 Copilot licenses across various departments, forming "flight crews" to drive adoption. Employees use Copilot to automate tasks like summarizing documents, drafting content, and translating communications into 14 languages, allowing them to focus on strategic initiatives and creative thinking.

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1
Use case
Streamlined sales data management
Context

Sandvik Coromant, a Swedish cutting-edge tooling solutions provider, implemented Microsoft Copilot for Sales to automate sales data entry, email summarization, and meeting recaps. By integrating Copilot into their sales processes, they reduced tedious tasks, allowing sales teams to focus more on customer interactions and develop business daily.

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Use case
Streamline sales operations
Context

PA Consulting, a global consulting firm, uses Microsoft's Copilot for Microsoft 365 and Copilot for Sales to enhance employee productivity and sales processes. By leveraging AI-assisted note taking, meeting summarization, and agenda drafting, employees save an average of three hours per week. The integration with Dynamics 365 Sales helps sales teams quickly consolidate information, leading to more productive client interactions.

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Use case
Efficient data management
Context

E.ON, a leading energy provider in Germany, is utilizing Microsoft Copilot for Microsoft 365 to assist employees in efficiently managing and processing vast amounts of data. Copilot helps automate routine tasks, generate presentations, transcribe and minute Microsoft Teams meetings, and quickly locate files and information across Microsoft 365 applications. This enables employees to focus on value-adding tasks, increasing productivity and efficiency.

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Use case
Real-time performance decisions
Context

Jaguar TCS Racing partnered with Google Cloud to integrate cutting-edge AI and cloud technologies into their racing operations. They implemented a real-time data capture and analytics system that processes performance metrics from the Jaguar I‑TYPE 6 as soon as it enters the pit garage, enabling engineers and drivers to make informed, live race decisions. This AI-driven solution optimizes both in‐race strategy and operational workflows for enhanced competitiveness on and off the track.

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Use case
Improving employee productivity
Context

Virgin Atlantic, a UK-based airline, is an early adopter of Microsoft's Copilot for Microsoft 365 and GitHub Copilot to enhance productivity and enable new ways of working. They have rolled out the tools to the first 300 licenses and plan to expand across the wider business. The team is using Copilot to generate emails, assist in coding, and support their day-to-day roles, leading to time savings and fostering innovation in problem-solving.

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2
Use case
Improving passenger experience
Context

SNCF, in collaboration with Alp Valley and partners, integrated Meta's Llama 3.1 to create a multilingual, voice-enabled virtual assistant for Paris' Gare du Nord. Unveiled at Vivatech Paris and the Paris 2024 Summer Olympics, this assistant enhances passenger experience by providing real-time train information and multilingual support, demonstrating advanced module development and efficient workflow validation.

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1
Use case
Rapid, secure scaling
Context

Migrated to a cloud-native microservices architecture on Azure by leveraging Service Fabric, App Service Environment, API Management, Service Bus, AKS, and centralized databases, combined with robust security and automation tools to support frequent releases and real-time payment processing.

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2
Use case
Streamlined routine tasks
Context

MAIRE, a leading energy and engineering group, integrated Microsoft 365 Copilot to automate and streamline routine and repetitive tasks for their engineers. By deploying Copilot across various teams and encouraging its adoption through their 'Human in the Loop' portal, they have significantly reduced time spent on paperwork, allowing staff to focus on higher-value activities.

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Use case
Categorization products faster
Context

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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2
Use case
Unified legacy systems
Context

Wallenius Wilhelmsen transformed its outdated, fragmented IT infrastructure by integrating AI-powered Microsoft 365 Copilot and Microsoft Viva into daily operations. They implemented a phased rollout starting with senior leadership through an early access program, followed by an engaging internal campaign and comprehensive training sessions across global teams. This overhaul streamlined processes such as document collaboration, meeting summarization, and performance monitoring using tools like Viva Goals and Copilot Dashboard.

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2
Use case
Personalized learning for students
Context

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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Use case
Time-intensive admin tasks
Context

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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2
Use case
Faster quote generation
Context

dida developed a custom, modular AI solution on Google Cloud that automates Enpal's manual sales quoting process. They implemented a machine learning pipeline that collected rooftop images via the Google Maps Platform API and stored them in Cloud Storage, then trained a robust ML model on GPU-enabled Compute Engine using projective geometry to accurately estimate roof angles. The solution streamlined Enpal’s sales workflow by integrating continuous development with Cloud Build and orchestrating model operations via Vertex AI and TensorBoard, automating complex measurements and quote generation tasks.

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2
Use case
Faster internal processes
Context

Paysafe implemented Microsoft 365 Copilot to streamline its internal documentation, meeting note-taking, and translation tasks. The company joined the Copilot for Microsoft 365 Early Access program, distributed 200 licenses, and collaborated with Microsoft and Noventiq to deliver workshops and training sessions, automating previously manual administrative tasks. This integration enhanced workflows in meetings, technical documentation, and multilingual communications.

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1
Use case
Streamlining software development
Context

Paf implemented ChatGPT Enterprise across its entire company, with engineers creating 85 custom GPTs to automate and streamline development tasks such as backend infrastructure, frontend components, and API generation. These specialized GPTs enable developers to generate standardized code more efficiently, improving productivity. ChatGPT is also integrated into the grit:lab coding academy, accelerating the training of future software developers.

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1
Use case
Enhancing journalistic efficiency
Context

VG, a leading news outlet in Norway, developed an internal AI toolbox with about 25 generative AI tools. These tools enhance journalists' ability to write, research, and investigate more efficiently. For example, they have a tool that extracts information from text and visualizes relationships between entities as network graphs, which helps journalists in understanding complex connections. Another tool, allows journalists to query Statistics Norway's data, automatically retrieving relevant datasets and generating visualizations using Datawrapper. These tools help journalists dive deeper into stories and present data in more engaging ways.

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Use case
Faster data analysis
Context

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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2
Use case
Faster code development
Context

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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Use case
Faster document processing
Context

National Bank of Greece built an AI-powered document processing solution using Azure AI Document Intelligence. They analyzed 50 million pages to create a comprehensive dataset and employed Azure Cognitive Services for Greek language recognition, integrating the solution into six customer-facing digital banking applications. This implementation automates document categorization and data extraction, streamlining both customer service and regulatory processes.

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3
Use case
Efficient content creation
Context

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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2
Use case
Providing 24/7 credit card assistance
Context

Virgin Money's AI-powered virtual assistant, Redi, supports credit card customers 24/7 through the Virgin Money Credit Card app. Built using Microsoft's Copilot suite in partnership with IBM, Redi provides conversational assistance with a mix of practical help and humor, enhancing customer experience and winning the "Best application of AI in Financial Services" award at the Card & Payments Awards.

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1
Use case
Enhancing passenger assistance
Context

London Heathrow Airport uses Copilot Studio to enable their “Here to Help” team with a custom AI copilot, providing real-time answers to customer questions via Microsoft Teams. The AI aggregates information from various sources like internal FAQs and public websites, improving the passenger experience and boosting the confidence of the non-operational staff assisting passengers.

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1
Use case
Elevate client experience
Context

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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3
Use case
Accessible art descriptions
Context

Rijksmuseum partnered with Microsoft to harness Microsoft Copilot to automatically generate detailed, nuanced descriptions for its extensive art collection. They implemented the solution by training the AI model on existing written descriptions and integrating it into their digital workflow, supported by inclusive design testing sessions with blind and low-vision users. This approach transformed a labor-intensive manual process that took one hour per artwork into a scalable system capable of updating over one million pieces in just hours.

Models/tools
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1
Use case
Eliminate mundane tasks
Context

Motor Oil Group, a leading energy company in Greece, implemented Microsoft Copilot and Microsoft 365 Copilot to automate routine tasks across departments. By integrating AI into workflows, tasks like crafting speeches, presentations, and job descriptions now take minutes instead of weeks. This has allowed staff to focus on strategic initiatives, enhancing overall efficiency.

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2
Use case
Scaling drug research data
Context

BenevolentAI, a UK-based TechBio company, leverages Claude to speed up data generation and annotation by orders of magnitude, while maintaining high-quality results. This supports the company's efforts in drug discovery and research, significantly enhancing their data processing capabilities.

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1
Use case
Streamlined administrative tasks
Context

Enerjisa Üretim implemented Microsoft Copilot to assist employees in summarizing meetings, drafting documents, creating presentations, and compiling reports. By leveraging AI capabilities, they significantly reduced time spent on administrative tasks, freeing employees to focus on strategic initiatives and increasing overall productivity.

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