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Use case
Streamlined workflow management
Context

Wipro integrated Microsoft 365 Copilot to enable natural language commands and real-time suggestions across Microsoft applications, automating document management and proposal creation. They also deployed GitHub Copilot for developers and utilized Azure OpenAI to drive generative AI transformation across the enterprise, integrating these tools into existing business workflows. This comprehensive implementation improved internal collaboration and expedited processes for presales, sales, marketing, and development teams.

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Use case
Faster coding workflows
Context

Tata Elxsi integrated Microsoft GitHub Copilot into its video distribution platform development and testing processes to provide intelligent code suggestions, optimize existing code, assist in both manual and automated testing, simplify documentation, and enable smoother code translation. The integration streamlined coding and debugging workflows across the development cycle, enhancing productivity and ensuring compliance with strict security standards.

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Use case
Accelerated code development
Context

Infosys piloted GitHub Copilot with a broad range of developers, integrating it into their GitHub code repository and code store that contains thousands of reusable assets. They scaled the tool across their workforce to assist in writing, debugging, and securing code, streamlining feature development and bug fixes while ensuring compliance with security standards.

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Use case
Faster cloud account security
Context

Using GitHub Copilot, Paytm launched 'Code Armor' to automate the secure provisioning of new cloud accounts. The solution integrated AI-driven software testing and continuous deployment enhancements powered by GitHub Copilot and Azure OpenAI, replacing slower third-party tools in their cloud infrastructure monitoring. This transformation streamlined security processes and reduced provisioning time from 2-3 man-days to just minutes.

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Use case
Faster code development
Context

LambdaTest strategically integrated GitHub Copilot into its software development process by leveraging GitHub Actions’ intelligent code autocompletion to deliver instant code suggestions and facilitate collaborative problem-solving through GitHub’s chat functionality. The integration, implemented within Visual Studio Code, streamlined context switching and enhanced the unit testing process by automatically generating best-practice code snippets. This transformation optimized the coding workflow and allowed developers to concentrate on strategic feature development.

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Use case
Automated mundane workflows
Context

InMobi integrated a suite of Microsoft-powered AI solutions to automate repetitive internal processes including onboarding, access approvals, document management, legal reviews, and meeting follow-ups. They implemented Azure AI as a bespoke legal bot, GitHub Copilot for engineering, and Microsoft 365 Copilot (with Teams, Word, and Outlook Copilot) for real-time meeting summaries, document automation, and email efficiency, while planning to integrate Dynamics 365 Copilot for finance and deploying a Teams Bot for developers. This holistic approach improved workflows across legal, engineering, compliance, finance, and other functions, freeing up employees to focus on strategic and creative initiatives.

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Use case
Faster code releases
Context

Nykaa partnered with Microsoft by integrating GitHub Copilot into their coding workflows to automate repetitive tasks such as code completion and unit test case generation. The solution was implemented by embedding Copilot Chat into their development environment to assist with documentation, code refactoring, and quality assurance, thereby streamlining the entire coding process.

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Use case
Faster data access & security
Context

LTIMindtree leveraged AI by deploying M365 Copilot Extensibility with declarative agents that enable senior leadership and pre-sales teams to perform real-time, efficient data queries for RFPs and RFIs, and implemented Azure Open AI to automatically gather and organize information on HR policies, SOPs, and IT applications. They further fortified security by integrating Security Copilot with Intune, XDR, MDTI, and Sentinel, and empowered 1,600 developers with GitHub Copilot to reduce development time and improve test coverage.

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2
Use case
Streamlined engineering processes
Context

HCLTech developed an AI-based TeamSight platform using GitHub Copilot and Microsoft 365 Copilot. They fine-tuned role definitions, KPIs, and measurement metrics through targeted prompts and generated scripts to integrate multiple tools for automated data collection and bottleneck identification. This enhanced engineering workflows by providing comprehensive dashboards for engineers and managers to track progress and identify corrective actions.

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Use case
Faster internal task handling
Context

Embee leveraged Azure OpenAI and Microsoft Copilot to automate and enhance operations across multiple departments including sales, marketing, HR, IT support, and software development. They integrated custom SAP Copilot plugins for instant access to financial and sales data, built ITSM plugins to automate support ticket management, and enabled developers with GitHub Copilot for code validation and testing automation. These steps streamlined workflows, reduced manual tasks, and provided real-time insights.

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3
Use case
Rapid code prototyping
Context

Aurigo integrated GitHub Copilot into their development environment to automate code snippet generation from natural language comments. They implemented the tool within their prototyping workflows to generate unit tests, streamline documentation of legacy code, and reduce boilerplate coding, thereby accelerating early-stage development. This approach streamlined the prototyping process and improved team onboarding.

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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.

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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.

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3
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.

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Use case
Enhanced cyber security
Context

Alaska Airlines uses Microsoft Azure, Microsoft Defender, GitHub Copilot for Business, and Azure OpenAI Service to strengthen its IT infrastructure, enhance cyber security, and empower employees. They have integrated GitHub Copilot for Business into their software development process, with about half of their software engineering team using it. They are also leveraging Azure OpenAI Service to enhance customer care and contact centers.

Models/tools
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4
Use case
Faster coding process
Context

GoTo Group partnered with Microsoft Indonesia to integrate GitHub Copilot into its engineering workflow. They implemented the AI tool within developers’ IDEs to provide real-time code suggestions, conversational assistance, and syntax error corrections, thereby streamlining code writing and reducing repetitive tasks. The rollout involved close collaboration with Insight and iterative feedback from nearly 1,000 engineers to optimize software development processes.

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1
Use case
Faster software development
Context

Capita, a consulting and outsourcing company, uses GitHub Copilot to automate repetitive coding tasks. By adopting GitHub Copilot across its development teams, Capita has improved developer productivity, satisfaction, and retention, enabling faster delivery for its customers.

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1
Use case
Future-proof banking platform
Context

Commercial Bank of Dubai upgraded its application infrastructure using Microsoft Azure, leveraging GitHub Copilot and Azure OpenAI to modernize applications, improve transaction security and speed, and enable faster development.

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2
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
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
Custom AI teaching assistants
Context

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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3
Use case
Streamline admin tasks
Context

Absa, one of Africa's largest financial institutions, uses Microsoft 365 Copilot and GitHub Copilot to enhance operational efficiency and customer engagement across multiple business areas. Employees use Copilot to streamline business processes, saving hours on administrative tasks, summarizing financial documents, generating content, and enhancing client interactions.

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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
Accelerated business transformation
Context

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.

Models/tools
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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
Efficient employee training
Context

McDonald's China established an AI Lab with Microsoft, using Azure AI tools and GitHub Copilot to enhance employee training at Hamburger University. AI assistants provide document translation, optimized search, and personalized learning, improving training efficiency.

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6
Use case
Increase productivity across teams
Context

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.

Models/tools
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3

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