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Use case
Summarizing meeting insights
Context

Otter, an AI Meeting Assistant, uses Claude from Anthropic to enhance its ability to summarize meetings, identify action items, and extract meaningful insights automatically. By leveraging Claude's 200k context window, Otter can process long meeting transcripts without constraints, transforming conversations into lasting organizational knowledge.

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Use case
Slow advisor information retrieval
Context

Morgan Stanley integrated GPT-4 and Whisper from OpenAI into their workflows, including an internal chatbot and meeting summary tool, enabling financial advisors to quickly retrieve firm knowledge, generate summaries, and provide timely, tailored client insights.

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2
Use case
Scaling code review
Context

Graphite, a modern end-to-end developer platform, uses Anthropic's Claude and Claude 3.5 Sonnet to power their AI code reviewer that catches bugs and suggests fixes, transforming how engineering teams approach software development. Their implementation combines Claude's reasoning capabilities with deep code review expertise, breaking complex code analysis into discrete steps and employing multiple validation layers to ensure high-quality comments.

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2
Use case
Accelerate secure software development
Context

Palo Alto Networks, a leading cybersecurity company, uses Claude 3.5 Haiku and Claude 3.5 Sonnet on Google Cloud's Vertex AI to enhance developer productivity while maintaining security standards. They employ Claude models for specific development tasks, such as real-time code completion and IDE code chat for complex tasks like architectural explanations and complex code generation. This implementation helps both new and experienced developers to work more efficiently and securely.

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3
Use case
Faster writing of appeal letters
Context

Acentra Health developed MedScribe, a web app that uses Azure OpenAI Service to generate draft letters responding to healthcare service appeals.

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Use case
Faster personalized customer support
Context

Holland America Line developed a virtual agent called "Anna" using Microsoft Copilot Studio, which acts as a digital concierge on their website to support customers and travel advisors in booking cruises, managing existing bookings, and answering general questions.

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4
Use case
Faster data search
Context

PIMCO built ChatGWM, an AI-powered search platform using Azure AI. ChatGWM is a secure, retrieval augmented generation (RAG) application that searches across PIMCO-approved data sources to deliver relevant information to its teams. It allows associates to find information faster by typing questions and receiving accurate responses along with source references.

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Use case
Automate customer interactions
Context

Humach, a customer experience solutions provider, uses Claude via Amazon Bedrock to power AI-assisted agents and digital workers that streamline customer interactions across multiple channels. They developed a Custom Language Model framework integrated into their mAI Pilot platform, including digital voice agents, live agent assistance, sentiment analysis, and content classification.

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Use case
Empathetic voice interactions
Context

Hume AI, a leader in emotionally intelligent AI systems, utilizes Anthropic's Claude to power natural and empathetic voice conversations through their EVI platform. This integration enables Hume's clients in healthcare, customer service, and consumer applications to build trust with users by providing emotionally aware and responsive interactions.

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Use case
Increase employee productivity
Context

Canadian Tire Corporation uses Azure OpenAI Service to develop ChatCTC, an internal digital assistant that helps over 3,000 employees with tasks like training, building job descriptions, and generating product descriptions, saving them 30–60 minutes per day. They also developed CeeTee, an AI-powered shopping assistant that simplifies the tire buying process for customers, leading to increased revenue from online sales conversions.

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Use case
Inclusive tool usability
Context

EY collaborated with Microsoft developers to enhance Azure AI Foundry's inclusivity by conducting structured diary studies, co-design sprints, and iterative prototyping sessions with neurodivergent technologists. Feedback from six copilot creation activities drove the development of customizable notification systems, including toast notifications and adaptive task guidance, which streamlined the platform's user interface and learning support for improved digital workflows.

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Use case
Streamlined support operations
Context

Lenovo integrated AI-powered Copilot into its Dynamics 365 Contact Center and Customer Service platforms to automate inquiry response handling and routine tasks. They implemented a unified, multilingual chat service where customer inquiries are processed in natural language and historical service data is leveraged to provide real-time resolution suggestions and generate detailed post-call summaries. This integration streamlined support workflows and enabled agents to focus on more complex customer issues.

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Use case
Accurate shipping invoicing
Context

Dow implemented Microsoft 365 Copilot to empower teams with AI-driven insights and automate freight invoice analysis. They deployed two supply chain agents – a prompt-and-response agent for real-time invoice review and an autonomous agent via Copilot Studio to process PDF invoices automatically, integrating these into logistics operations to optimize billing and cost management. This solution streamlined workflows and improved process accuracy across departments.

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2
Use case
Faster pet diagnosis
Context

Mars, a global petcare company, uses Microsoft's Azure AI model catalog, choosing Mistral for its model as a service offering, to accelerate the development and deployment of its AI-powered solution RapidRead. RapidRead interprets pet radiology scans quickly, assisting veterinarians in diagnosing medical conditions faster. By employing Azure Machine Learning, Mars can process millions of images and reports, supporting veterinarians with AI-enhanced tools.

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Use case
Automated agreement management
Context

Docusign developed the Intelligent Agreement Management (IAM) platform using Microsoft's Azure AI and Azure OpenAI Service to automate and enhance agreement management processes.

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Use case
Faster SOP creation
Context

Eaton, a global power management company, adopted Microsoft 365 Copilot to automate the creation of 1,000 standard operating procedures (SOPs) and improve data access across teams. Copilot helps teams work more efficiently, focus on strategic tasks, and facilitate smooth onboarding.

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Use case
Secure AI innovations
Context

Mia Labs built its conversational AI assistant, Mia, on Microsoft Azure using Azure OpenAI Service and secured its AI workloads with Microsoft Defender for Cloud. They implemented advanced threat intelligence through contextual security posture management and runtime alerts, enabling quick detection and mitigation of jailbreak attempts while protecting sensitive dealership interactions. This integration streamlined security processes and eliminated the need for costly IT audits.

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Use case
Unified security & collaboration
Context

apree health adopted Google Workspace to centralize data access management and secure sensitive patient data by consolidating disparate security systems into a unified admin console. They implemented a zero-trust strategy with granular access controls, endpoint management, and integrated Gemini for Google Workspace to streamline document creation and collaboration across development and patient care. The migration, supported by SADA, involved transitioning over 1,200 employees and providing extensive training to facilitate a smooth change management process.

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Use case
Faster LLM deployments
Context

Moveo.AI centralized its LLM training on Vertex AI by consolidating its multi-cloud approach, leveraging A3 VMs powered by NVIDIA H100 GPUs to fine-tune large language models tailored for customer experience. The implementation integrated Dynamic Workload Scheduler for auto-scaling and optimized resource management, streamlining secure and efficient virtual agent operations.

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2
Use case
Simplified Earth data discovery
Context

NASA collaborated with Microsoft to develop Earth Copilot by integrating Azure OpenAI Service into its existing EARTHDATA VEDA platform. This AI-powered solution allows users to query complex geospatial datasets using plain language, simplifying data search and analysis for scientists and policymakers. The implementation leverages robust cloud infrastructure, machine learning, and natural language processing to transform traditionally complex data retrieval processes.

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Use case
Accelerated data processing
Context

Operation Smile implemented Azure OpenAI Service to digitize patient registration with multi-language support and automate spreadsheet data analysis. They integrated this AI solution with Microsoft Fabric, OneLake, and Power Apps in collaboration with partner Squadra to enable real-time analysis for patient triage and report generation, streamlining operational workflows.

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4
Use case
Real-time game insights
Context

The NBA uses Azure OpenAI Service and GPT models to power "NBA Insights", an AI-driven feature in the NBA App that provides fans with real-time game insights and deeper understanding of key moments during games.

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Use case
Investment diligence
Context

IVP implemented Perplexity Enterprise Pro to enhance investment diligence by providing accurate, real-time answers to complex research queries, streamlining documentation and communication across five teams, and supporting continuous learning and workflow improvements.

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Use case
Building web apps directly in the browser
Context

StackBlitz integrated Claude 3.5 Sonnet into its browser-based development platform, Bolt, enabling users to develop sophisticated web applications with natural language inputs. This allowed both developers and non-developers to go from idea to production in one click, without needing coding experience or virtual machines.

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Use case
Scaling customer support and maintaining availability in crypto
Context

To address scalability and fluctuating demand in the volatile crypto market, Coinbase implemented Claude for its customer support chatbot, agent assist tool, and help center search. This multi-cloud setup ensures high availability, rapid scaling, and secure, AI-driven support, streamlining operations and improving customer service quality.

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3
Use case
Enhancing secure, natural customer interactions
Context

ASAPP integrated Claude in Amazon Bedrock into its GenerativeAgent to provide AI-driven, context-aware customer service interactions. This eliminates the need for sensitive data redaction, allowing private, end-to-end encrypted conversations that maintain context and deliver natural interactions.

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2
Use case
Efficient talent matching
Context

Braintrust, an AI-powered recruiting platform, uses Anthropic's Claude and Claude 3.5 Sonnet to enhance their talent acquisition process. They integrated Claude into key features like AIR (AI Recruiter), which conducts initial screening interviews, and a job description generator that helps clients create compelling job postings.

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2
Use case
Efficient document analysis
Context

Hebbia, an AI platform for knowledge work serving asset managers, investment banks, and law firms, leverages Claude's capabilities to analyze vast amounts of complex documents efficiently, generating actionable insights through features like meta-prompting and natural language interactions without requiring users to master prompt engineering.

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3
Use case
Streamline communication & document creation
Context

Hydro Ottawa, a major electricity provider for Canada’s capital, implemented Google Workspace and Gemini to improve collaboration, create job posts, conduct legal and technical research, write policies, generate content, summarize documents, and organize meeting agendas across all teams.

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Use case
Efficient team collaboration
Context

Vimeo integrated Google Meet’s AI-driven note-taking and summarizing capabilities by implementing Gemini for Google Workspace across its videoconferencing and collaborative document platforms. They rolled out Google Docs, Sheets, and Slides company-wide to support simultaneous multi-user editing and integrated these tools with Google Meet to automatically generate meeting notes and action items. This implementation streamlined internal meetings and enhanced overall project collaboration across teams.

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