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Use case
Conducting targeted searches
Context

Product teams at Zoom use Perplexity’s Focus functionality for targeted search.

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Use case
Enhancing sales prospecting
Context

HP’s salesforce taps into Perplexity for rapid, in-depth prospect research, empowering them to craft compelling pitches and expedites the sales process.

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Use case
Accelerating R&D processes
Context

Databricks uses Perplexity Enterprise Pro to accelerate R&D, enabling its engineering, marketing, and sales teams to execute faster and more efficiently. The company estimates saving 5,000 working hours monthly.

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Use case
Simplifying enterprise financial analysis
Context

Fortune partnered with Accenture to develop Fortune Analytics, an AI-powered tool designed to analyze over 20 years of Fortune 500 and Global 500 financial data and related articles. This tool allows users to generate visualizations and receive ChatGPT-style responses, making data-driven insights more accessible. The platform is set to launch in beta on June 4, 2024, and aims to enhance enterprise decision-making by providing easy access to financial data and journalism archives.

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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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Use case
Building open AI with cutting-edge tools
Context

Hugging Face is collaborating with Google across open science, open source, cloud, and hardware to enable companies to build their own AI with the latest open models from Hugging Face and Google Cloud hardware and software.

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Use case
Customizing AI grounded in internal data
Context

Contextual is working with Google Cloud to offer enterprises fully customizable, trustworthy, privacy-aware AI grounded in internal knowledge bases.

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Use case
Streamlining email management
Context

Superhuman uses OpenAI's API to build AI-driven email features like Write with AI, Rewrite in Your Voice, and Instant Reply. These features help users manage email more efficiently, doubling their email processing speed and saving hours per week. The AI tools improve inbox management by auto-summarizing emails, drafting replies, and allowing speech-to-text composition, resulting in higher engagement and faster workflows.

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Use case
Automating large-scale code refactoring
Context

ClearPoint integrated Meta's Llama 3 with Google's code scanner lint to perform an automated refactor of over 500 code files in a large Kotlin codebase. With less than 500 lines of automation code, they produced a migration that runs with a single build command without human intervention, saving an estimated 11 engineering weeks and improving efficiency without risking IP or vendor lock-in.

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Use case
Streamlining contract redlining
Context

Ironclad uses OpenAI’s tech to power their AI assistant, a contract lifecycle management tool that identifies and redlines contract irregularities. The integration allows legal teams to reduce contract redlining time from 40 minutes to 2 minutes, improving efficiency without replacing human oversight.

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Use case
Indexing massive digital libraries
Context

Tune AI is a fine-tuning and deployment platform assisting large enterprises. For an information services enterprise, Tune AI selected Meta's Llama 3 to index a massive 7B+ page digital library, reducing costs from $18 to $0.60 per document and processing time from 1 hour to 7 minutes, achieving a 99% accuracy rate, significantly enhancing efficiency and cost-effectiveness.

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Use case
Streamlining corporate workflow automation
Context

Attache, a company connecting corporate professionals with monthly furnished rentals, uses Gemini for Google Workspace to automate and enhance internal workflows. Employees leverage generative AI features like "Help me write" in Gmail and "Help me organize" in Sheets to draft emails, create meeting notes, design onboarding processes, and streamline customer service tasks. This automation improves productivity, reduces time spent on mundane tasks, and enhances employee satisfaction by allowing focus on more meaningful work.

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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.

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3
Use case
Enhancing global employee collaboration
Context

Match Group uses ChatGPT Enterprise to improve employee creativity, productivity, and collaboration. Employees use the AI to prototype new products, enhance cross-functional collaboration, run focus groups, boost engineering efficiency, and facilitate knowledge sharing. AI is also used to overcome language barriers between international teams, fostering deeper global collaboration.

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Use case
Automating customer service tasks
Context

Salesforce integrates OpenAI's LLMs into its Einstein 1 Platform, enhancing applications like Sales Cloud, Service Cloud, and Commerce Cloud with generative AI capabilities. This allows employees to automate tasks such as account summaries, chat replies, and case summaries, while maintaining high security standards with the Einstein Trust Layer for data privacy.

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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.

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2
Use case
Boosting productivity with AI across departments
Context

GitLab integrates Claude for Work across departments to boost productivity, improve collaboration, and automate processes. The AI assists with RFP responses, content creation, data analysis, and internal tool development, resulting in 25-50% productivity gains. Claude's large context window and secure features enhance workflows while maintaining data privacy.

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Use case
Enhancing employee productivity with AI assistant
Context

CMA CGM, a global logistics company operating in over 160 countries, uses Mistral's AI models to power MAIA, their internal personal assistant. MAIA can chat about documents, perform translation and summarization, and integrate expert chatbots using RAG. High accuracy scores led CMA CGM to choose Mistral as their generative model of choice. MAIA has been deployed to thousands of employees, with plans to expand to all staff.

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Use case
Accelerating website content creation
Context

Wix uses OpenAI's GPT to power its AI Text Creator, allowing users to generate high-quality website content quickly and efficiently. This tool drastically reduces content creation time from hours to minutes, improving user engagement and conversion rates to premium subscriptions.

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Use case
Improving developer efficiency with AI-driven tools
Context

JetBrains integrates OpenAI's API into its AI Assistant product, enhancing developer productivity by providing intelligent code suggestions, writing tests, generating documentation, and refactoring code. This AI Assistant has become JetBrains' fastest-growing product, with 77% of developers reporting increased productivity and 55% finding more time for engaging tasks.

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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.

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Use case
Providing personalized product recommendations
Context

HP uses Microsoft Copilot Studio to provide personalized product recommendations on its website. Small business customers can use natural language to find the best products for their needs, reducing the number of clicks compared to traditional methods. This enhances the user experience and builds trust by offering real-time responses using Generative AI.

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Use case
Enhancing customer engagement with AI concierge
Context

Holland America Line, in partnership with Acuvate, uses Microsoft Copilot Studio's generative AI to power an online concierge. This AI-driven solution assists customers throughout the booking journey, handling inquiries about room options, packages, and entry requirements. Acuvate's involvement ensures seamless integration and optimization, improving customer engagement and satisfaction while driving revenue growth.

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Use case
Improving employee support with AI copilot
Context

PayPal uses Copilot Studio to build an employee-facing copilot that can reason over multiple knowledge sources, providing consistent and relevant answers. This implementation has reduced the workload and costs of the support team while increasing employee engagement and loyalty.

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Use case
Enhancing DevSecOps with AI features
Context

GitLab uses Claude to power AI-driven features across their DevSecOps platform. These include generative code generation, chat, and summarization tools. By integrating Claude, GitLab accelerates development while maintaining security and stability, ensuring privacy-first AI solutions across the software lifecycle.

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Use case
Boosting team productivity with AI collaboration tools
Context

WebFX, a global digital marketing company, adopts Duet AI for Google Workspace to enhance collaboration, innovation, and idea generation. Employees use AI-powered features like "Help me write" and "Shorten" in Docs and Gmail to draft emails and documents faster, brainstorm ideas, and streamline project planning. This integration accelerates productivity, supports creative and strategic pursuits, and allows teams to focus on higher-impact tasks, enabling better client outcomes.

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Use case
Improving project clarity with AI insights
Context

Asana uses Claude 2.1's 200K token context window to power Asana Intelligence, enabling faster status updates and better insights for their customers, driving clarity and impact at scale. This helps organizations process large volumes of data with precision and transparency.

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Use case
Simplifying complex work with large context AI
Context

SAP is evaluating Anthropic's Claude 2.1 with a 200K token context window for tasks like document processing, sophisticated dialogue, creative content generation, and complex reasoning. These efforts aim to simplify day-to-day work for employees and enhance both internal operations and customer solutions.

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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.

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Use case
Unifying data for real-time AI applications
Context

MongoDB extends Mistral's performance and efficiency from the model layer to the data layer by securely unifying application data, metadata, and vector embeddings in a single platform. Developers can create rich, real-time AI applications across various use cases, from conversational AI to complex reasoning, gaining a competitive edge by building with Mistral AI and MongoDB.

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