AI case studies using {model/tool}






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Rogo, an AI finance platform, uses OpenAI's GPT-4 to provide real-time financial intelligence to investment professionals, automating tasks like meeting prep, company profiling, and market research. By fine-tuning OpenAI's models and integrating financial datasets like S&P Global, Crunchbase, and FactSet, Rogo helps shift focus from manual work to high-value decision making.
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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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Parloa built an AI-powered customer service automation platform using Azure Cognitive Services and Azure OpenAI Service to provide human-like interactions across phone, chat, and messaging apps.
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Decagon, a company focused on automating customer support, uses OpenAI's suite of GPT models, including GPT-3.5 and GPT-4, to manage large volumes of support inquiries without human intervention. The models are configured for tasks such as query rewriting, complex decision-making, and API request processing, offering scalable, nuanced responses tailored to each customer's needs.
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Siemens Industrial Copilot assists engineers in programming and troubleshooting industrial machines by translating natural language into automation code and offering real-time guidance, easing the learning curve for less experienced workers.
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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.
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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.
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UC Berkeley developed 61A-Bot, an AI chatbot using GPT-4 via Azure OpenAI Service, to assist students in their Intro to Computer Science class. The bot provides personalized hints and feedback to help students solve complex coding challenges independently, integrated within their coding environment.
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Ada uses GPT-4 to power a customer service automation platform, enhancing resolution rates by focusing on customer satisfaction.
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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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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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MavenAGI uses GPT-4 to power automated customer support agents. It integrates with CRMs like Salesforce and Zendesk to personalize responses, evaluate answers, and resolve 93% of customer queries autonomously. This results in a 60% reduction in resolution time and reduces the cost per ticket from $40 to $8, enhancing both customer and employee experience.
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Canva uses OpenAI's GPT-4 to power its Magic Studio, integrating multiple AI tools like Magic Write, Magic Design, and Magic Switch. These tools allow users to generate content across text, images, and video, supporting multimodal workflows while maintaining simplicity. The suite enhances design processes for non-professionals by enabling content generation, format conversion, translation, and more, all through intuitive AI-driven prompts.
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Unity built Muse Chat, an AI assistant integrated directly into the Unity Editor using Microsoft Azure OpenAI Service. They implemented the solution by leveraging GPT-4 and GPT-3.5 Turbo models along with Azure AI Content Safety to provide tailored troubleshooting and coding solutions based on Unity’s extensive documentation and project-specific settings. The integration streamlined the development process by enabling developers to resolve issues quickly and efficiently.
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Paradigm uses OpenAI’s GPT-4 API to evaluate clinical trial data sets, significantly improving the speed, accuracy, and cost of patient screening. By replacing traditional models with GPT-4, Paradigm achieved a 90% reduction in clinician time spent on model validation and a 10% increase in accuracy. This allows faster, more equitable access to clinical trials, especially for underserved patients with unstructured medical data.
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Lifespan uses GPT-4 to simplify complex surgical consent forms from a college reading level to a 6th grade reading level, reducing word count by 25% and improving patient comprehension. The revised forms were implemented across the Lifespan healthcare system, including intake and chemotherapy consent forms, leading to more accessible medical documentation and better patient outcomes.
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Typeform uses GPT-3.5 and GPT-4 to create Formless, a dynamic AI-powered platform that replaces traditional forms with conversational data collection. The AI adapts to responses, allows for two-way conversations, supports multiple languages, and integrates data from various sources for analysis and actionable insights.
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Digital Green uses OpenAI's GPT-4 to develop Farmer.Chat, a generative AI chatbot that supports agricultural extension services in countries like India and Kenya. It provides farmers with tailored advice by integrating Digital Green's vast library of agricultural knowledge, including training videos and research factsheets. By enhancing extension agents' ability to assist farmers, Farmer.Chat reduces the cost of traditional services and improves access to localized farming expertise.
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Viable uses GPT-4 to analyze qualitative data from platforms like Zendesk and Intercom at scale, providing businesses with actionable insights to improve customer support, reduce churn, and optimize product roadmaps. The AI model fine-tunes analysis for unstructured data, offering context-rich insights that surpass traditional summarization tools.
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Retool uses GPT-4 to help businesses quickly build AI-powered applications for various business processes, such as inventory management, customer support, and custom product experiences. The platform provides pre-built AI actions like generating text and chatbots, making it easier for companies to integrate AI with secure data access and promote efficiency.
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WHOOP integrates GPT-4 into its wearable device companion app to offer personalized, 24/7 fitness and health coaching. WHOOP Coach analyzes users' unique health data and provides conversational, actionable recommendations based on their goals, such as improving sleep or training for a marathon, revolutionizing how users engage with their health data.
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Summer Health uses GPT-4 to automatically generate pediatric visit notes from doctors' written observations, reducing the time for note-taking by 5x and increasing note accuracy and consistency. This frees up more time for doctors to focus on patient care, reduces administrative fatigue, and improves parent satisfaction with clear, concise, and jargon-free notes.
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Stripe uses GPT-4 to enhance user support by customizing responses based on detailed understanding of how businesses use the platform. It also helps improve documentation support by answering user queries and summarizing technical documents. Additionally, GPT-4 aids in fraud detection by analyzing community interactions and flagging suspicious behavior.
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The Government of Iceland partnered with OpenAI to use GPT-4 to preserve and promote the Icelandic language. Through reinforcement learning from human feedback (RLHF), GPT-4 is being trained to produce more accurate Icelandic translations, correcting grammar, cultural context, and fluency. This initiative aims to support Iceland's cultural heritage and provide resources for preserving other low-resource languages in the face of global digitalization.
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Morgan Stanley uses GPT-4 to power an internal-facing chatbot that helps wealth management advisors quickly search and retrieve insights from a vast internal knowledge base. The AI assists in organizing and synthesizing hundreds of thousands of pages of investment strategies, market research, and analyst insights, drastically improving the efficiency of financial advisors. Over 200 employees use it daily, transforming how advisors access and use company knowledge.
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Duolingo uses GPT-4 to enhance its language learning app with two key features: Role Play, an AI conversation partner, and Explain My Answer, which offers grammar explanations for user mistakes. These features, integrated into a new subscription tier called Duolingo Max, provide users with dynamic, contextual conversation practice and improve learning outcomes.
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Khan Academy is using GPT-4 to power Khanmigo, an AI assistant that serves as a virtual tutor for students and a classroom assistant for teachers. The pilot program aims to personalize learning by asking individualized questions to deepen student understanding, and to help teachers quickly tailor lessons and materials for their classrooms.
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Be My Eyes uses GPT-4's visual input capability to develop a Virtual Volunteer™ within its app, helping blind and low vision users navigate daily life tasks like identifying objects or navigating environments. The AI provides real-time contextual information and allows for interactive conversation, significantly enhancing independence for users.
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