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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.

Models/tools
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2
Use case
Handle complex customer inquiries automatically
Context

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.

Models/tools
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5
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
Automating customer service resolutions
Context

Ada uses GPT-4 to power a customer service automation platform, enhancing resolution rates by focusing on customer satisfaction.

Models/tools
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1
Use case
Automating customer support
Context

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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1
Use case
Simplifying design workflows
Context

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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1
Use case
Improving patient trial screening
Context

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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1
Use case
Simplifying medical consent forms
Context

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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1
Use case
Transforming forms into conversational data collection
Context

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.

Models/tools
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2
Use case
Providing tailored agricultural advice via chatbot
Context

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.

Models/tools
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1
Use case
Analyzing qualitative data for insights
Context

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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1
Use case
Simplifying AI application development
Context

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.

Models/tools
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1
Use case
Delivering personalized health coaching
Context

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.

Models/tools
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1
Use case
Automating pediatric visit note generation
Context

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.

Models/tools
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1
Use case
Enhancing independence for blind users
Context

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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1
Use case
Personalizing learning with virtual tutors
Context

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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1
Use case
Improving language learning outcomes
Context

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.

Models/tools
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1
Use case
Streamlining financial advisor knowledge access
Context

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.

Models/tools
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1
Use case
Safeguarding Icelandic language and culture
Context

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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1
Use case
Customizing user support and fraud detection
Context

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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1

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