Use case
Enhance productivity and innovation
Context

Campari Group adopted Microsoft 365 Copilot to leverage generative AI for competitive advantage. Through training and gradual implementation, employees integrated Copilot into workflows, saving time on routine tasks like email management, meeting preparation, content creation, and skill acquisition.

Models/tools
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1
Use case
Accelerate braking system innovation
Context

Brembo, a global leader in high-performance braking systems, leveraged Microsoft's Azure OpenAI to develop ALCHEMIX, an AI solution that generates innovative compounds for brake pads. This reduced development time from days to minutes, enabling exploration of unconventional development paths, swiftly identifying potential errors, and continuously improving braking material recipes.

Models/tools
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1
Use case
Managing tourist congestion
Context

The City of Rome is implementing a GPT-4-powered virtual assistant called Julia via Microsoft Azure OpenAI Service. It guides visitors away from crowded tourist hotspots by providing personalized recommendations for lesser-known sites, leveraging a city-curated dataset to offer trustworthy and diverse travel experiences.

Models/tools
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1
Use case
Faster police report writing
Context

Axon, a leader in public safety technology, developed Draft One, an AI tool built on Azure OpenAI Service. Draft One transcribes body-worn camera audio and drafts high-quality narratives for police reports in seconds, significantly reducing officers' paperwork time.

Models/tools
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1
Use case
Faster class prep & admin tasks
Context

Základní škola Aš Hlávkova, a primary school in Czechia, implemented Microsoft 365 Copilot to help teachers prepare lessons and handle administrative tasks more efficiently. Teachers use Copilot in applications like Word and Forms to create lesson plans, generate quizzes, and translate documents, reducing preparation time from hours to minutes. Copilot also helps in summarizing long administrative documents and improving communication with students and parents through translation features.

Models/tools
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1
Use case
Automate routine tasks
Context

Farm Credit Canada (FCC), an agricultural and food lending corporation, rolled out Microsoft 365 Copilot to 300 employees in early 2024 to streamline operations and boost productivity. Employees used Copilot in Microsoft 365 applications like Teams and Excel to automate tasks such as generating reports, creating presentations, and improving communication. Within six months, FCC expanded Copilot access to 1,000 employees.

Models/tools
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1
Use case
Optimizing departmental efficiency
Context

Microsoft utilizes Copilot and the new autonomous agents internally across sales, customer support, marketing, and HR departments. Their sales team uses Copilot to power insights and automate routine tasks, achieving a 9.4% increase in revenue per seller and closed 20% more deals. Customer support resolves cases nearly 12% faster, marketing saw a 21.5% increase in conversion rates on Azure.com with a custom agent assisting buyers, and HR improved answer accuracy by 42% with an employee self-service agent.

Models/tools
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3
Use case
Faster property due diligence
Context

Orbital Witness, a legal tech company in the UK, uses GPT-4 via Azure OpenAI to build Orbital Copilot, an AI assistant that mimics real estate lawyers to perform property due diligence.

Models/tools
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1
Use case
Streamlined workflows and data security
Context

Insight implemented Microsoft Surface devices, Windows 11, and Microsoft 365 Copilot to modernize operations, improve productivity, and enhance security. Copilot automates routine tasks like meeting summarization, email management, and content creation, saving teammates four hours per week and enabling them to focus on strategic tasks.

Models/tools
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1
Use case
Making a virtual assistant faster
Context

Bradesco integrated Microsoft's Azure generative AI into their virtual assistant BIA using services like Azure OpenAI and Data Lake, enabling BIA to quickly generate answers and documents, improving efficiency and response capacity for managers and clients.

Models/tools
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6
Use case
Better deforestation detection
Context

Universidad de los Andes, in collaboration with Instituto Alexander von Humboldt, Instituto Sinchi, IDEAM, and Microsoft AI for Good Lab, created Project Guacamaya, an AI-powered tool using satellite imagery, camera traps, and bioacoustics to detect deforestation and biodiversity shifts, aiding conservation efforts in the Amazon rainforest.

Models/tools
...
Use case
Better genetic data analysis
Context

SURA employs AI for genomic sequencing processing and clinical and genetic data analysis as part of their Omics Sciences Center. The AI-powered platform has significantly improved diagnostics, personalized treatment, and scientific research by generating more than 11,500 reports related to hereditary cancer panels and exomes.

Models/tools
...
Use case
Faster code generation
Context

Bancolombia, one of the oldest banks in Colombia, uses GitHub Copilot to enhance code generation, boosting automated application changes and productive daily deployments. Empowering a technical team of 4,000 people, including 3,400 software and infrastructure engineers, the bank has achieved a 30% increase in code generation, boosting automated application changes to an average of 18,000 per year, with a rate of 42 productive daily deployments.

Models/tools
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1
Use case
Streamlining internal processes
Context

Capitec Bank uses Microsoft 365 Copilot, Copilot for Power BI, Copilot Studio, Azure OpenAI Service, and DALL·E 3 to automate and enhance processes across departments, including generating report summaries, optimizing reconciliation processes with Copilot for Finance, developing chatbots for customer service and internal use, analyzing contracts, and generating unique images.

Models/tools
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5
Use case
Fragmented call center systems
Context

Qatar Charity partnered with Netways to implement INNOV8 for Copilot Studio on a unified cloud-based call center platform built on Microsoft Azure and Dynamics 365 Customer Service, consolidating disparate communication channels into one integrated interface. They leveraged low-code tools such as Microsoft Power Apps and Azure Logic Apps alongside AI-driven automation via Microsoft Copilot Studio and Azure AI Services to streamline call handling processes, consolidate data management, and reduce IT maintenance complexity.

Models/tools
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2
Use case
Modern workplace transformation
Context

LGT, a leading international private banking and asset management group, adopted Microsoft Copilot with Microsoft 365 to modernize their digital workplace and create a flexible, secure work environment for global teams. Copilot assists with summarizing meetings, producing minutes, supporting data analytics, and helping with text production. In legal and compliance, Copilot reduced contract review time from four hours to 30 minutes.

Models/tools
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1
Use case
Unified data analytics
Context

Flora Food Group deployed Microsoft Fabric to consolidate multiple analytics tools into a single, unified platform, streamlining data management, reporting, and analytics under one architecture.

Models/tools
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1
Use case
Faster customer support
Context

Elcome uses Microsoft 365 Copilot to boost productivity and improve customer communications. Employees use Copilot to draft emails, summarise lengthy communications, translate messages, and take notes in Microsoft Teams. This helps them respond to customers faster and increases overall team productivity.

Models/tools
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1
Use case
Increased employee productivity
Context

British Heart Foundation, Europe's largest funder of heart and circulatory disease research, is testing Microsoft 365 Copilot with about 300 employees. Staff are using the AI assistant to stay up to date on office communication, craft emails and documents, and search across the nonprofit’s tech platforms. They delegate tasks to Copilot, which helps them save time on routine tasks and focus on their mission.

Models/tools
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1
Use case
Adaptive robot control
Context

Denso developed human-like autonomous robots by integrating Azure OpenAI Service for natural language understanding with Azure AI for voice recognition to enable flexible, dialogue-driven control of robotic movements. They employed GitHub Copilot to rapidly generate and refine control code and created a unique verification tool for adjusting robot functions based on real-world inputs. This integration transformed traditional pre-programmed workflows into dynamic systems supporting human-robot collaboration in diverse operational settings.

Models/tools
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3
Use case
Accelerated sales process
Context

Cemex integrated generative AI by joining the Microsoft 365 Copilot Early Access Program, enabling its developers to leverage GitHub Copilot for enhanced software development. They built Technical Xpert using Microsoft Azure OpenAI Service to provide sales agents with instant, comprehensive product and customer information, streamlining their commercial platform and order tracking processes.

Models/tools
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3
Use case
Simplify video editing
Context

Sync Labs uses AI-powered lip-syncing models to enable users to effortlessly edit speech and expressions in videos, allowing professional-quality video creation in a single take. They train their models using Azure A100 GPUs and PyTorch, rendering thousands of videos rapidly via a web app and API.

Models/tools
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2
Use case
Faster access to product information
Context

Cemex, a global building materials company, uses Microsoft's AI tools including Microsoft 365 Copilot, GitHub Copilot, and Azure OpenAI Service to enhance productivity and reinvent customer experiences. They built Technical Xpert, a generative AI-powered tool that provides sales agents with instant access to comprehensive product and customer solution information.

Models/tools
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3
Use case
Faster drug discovery pipeline
Context

Novo Nordisk implemented an AI platform on Azure by integrating Azure OpenAI Service with its extensive data stacks to boost drug discovery, regulatory affairs, early research, and trial design. The solution features a copilot tool for researchers that leverages advanced reasoning and predictive algorithms to enhance cardiovascular risk detection, surpassing best clinical standards. This integrated platform streamlines R&D processes by centralizing data and models, enabling cross-functional collaboration among life scientists, data scientists, and computational biologists.

Models/tools
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1
Use case
Faster accessible document conversion
Context

RNIB implemented an AI-powered Mailings solution leveraging Microsoft Azure AI Services to automatically convert hard copy and digital documents into braille, audio, large print, and other accessible formats. The system integrates Azure AI Document Intelligence for extracting complex data from documents, while Azure AI Speech and Neural Voice generate natural, high-quality audio outputs. This streamlined workflow reduces manual corrections and accelerates document processing, enabling nontechnical staff to efficiently review and publish converted content.

Models/tools
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3
Use case
Centralized data for operations
Context

DSB deployed Microsoft 365 Copilot with centralized data in a unified data lake to develop AI-powered use cases for graffiti detection and safety monitoring, supported by partner networks and employee training.

Models/tools
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1
Use case
Reducing administrative workload
Context

Oxford University Hospitals NHS Foundation Trust (OUH) implemented Microsoft 365 Copilot to enhance staff productivity and well-being by automating back-office and administrative tasks. Staff use Copilot to create meeting minutes, summarise emails, compile information into reports, and generate standard documents, saving significant time and allowing more focus on frontline services.

Models/tools
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1
Use case
Boost staff productivity
Context

Buckinghamshire Council deployed Microsoft 365 Copilot to select user groups across its operations, including digital, business services, and customer service. Staff use Copilot for tasks like transcribing meetings, drafting reports, and creating presentations. This has led to productivity improvements, quality enhancements, and time savings enabling teams to do more with less.

Models/tools
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1
Use case
Incentivize healthy choices
Context

RadarFit integrated AI into its wellness app to automatically analyze uploaded photos of meals and physical activities, leveraging advanced image recognition and natural language processing to generate personalized health recommendations and assign gamification points. They implemented Azure OpenAI Service with OpenAI GPT-4 alongside Azure AI Vision for automated meal and exercise review and used Copilot Studio to deliver conversational guidance, streamlining corporate wellness management and reducing manual oversight.

Models/tools
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4
Use case
Centralizing operational data
Context

Mania de Churrasco! centralized its data using Microsoft Azure, Power Platform, and Microsoft 365, improving operational efficiency. The company integrated sales, employee, and self-service data, leading to better decision-making. They are now leveraging OpenAI's models on Microsoft Azure Service for predictive models and AI integration.

Models/tools
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3

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