AI case studies in {industry}






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Factory uses Claude 3 Opus and Haiku models to power autonomous "Droids" that automate various labor-intensive software development tasks, such as code reviews, migrations, and feature requests. These AI-powered Droids save customers over 550,000 hours and millions of dollars by streamlining development and reducing code churn by 3x.
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dida developed a custom, modular AI solution on Google Cloud that automates Enpal's manual sales quoting process. They implemented a machine learning pipeline that collected rooftop images via the Google Maps Platform API and stored them in Cloud Storage, then trained a robust ML model on GPU-enabled Compute Engine using projective geometry to accurately estimate roof angles. The solution streamlined Enpal’s sales workflow by integrating continuous development with Cloud Build and orchestrating model operations via Vertex AI and TensorBoard, automating complex measurements and quote generation tasks.
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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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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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HuggingFace introduced HuggingChat and HuggingChat Assistants, platforms that allow users to try out different open-source models and create customized assistants with unique personalities. By default, both platforms are powered by Mistral 8x7B, providing users with powerful, high-quality experiences and contextually relevant responses. Mistral 8x7B is currently the most popular model used on HuggingChat, enhancing user engagement.
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Cloudflare, a leading content delivery network provider, serves Mistral 7B through their Workers AI platform, allowing users to run AI models on Cloudflare's global network. Mistral offers low latency, high throughput, and impressive performance, generating tokens up to 4x faster than Llama due to Grouped-Query attention. This enhances Cloudflare's AI offerings, enabling developers to build and deploy AI applications more efficiently.
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Copilot Studio is also being used inside Microsoft itself. Microsoft uses a custom Copilot within its HRWeb portal to manage employee queries. The AI deflects 60% of incoming questions, allowing employees to reclaim over 21,000 hours of productivity and reducing 27% of incoming service tickets.
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Niantic, known for augmented reality games like Pokémon GO, uses Meta's Llama 2 to develop Peridot, a mobile AR game featuring virtual pets called "Dots." By integrating Llama 2, Dots exhibit dynamic and responsive behaviors, making interactions unique and enhancing user engagement. Additionally, Niantic employs computer vision with the Niantic Lightship ARDK to enable Dots to interact with the physical environment, creating a more immersive and lifelike gaming experience. This AI-driven approach accelerates development, reduces manual programming, and delivers personalized interactions, improving player satisfaction and engagement.
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OctoAI launched a production-ready Mixtral endpoint days after the model's initial announcement. Mixtral on OctoAI quickly became the most popular model on the platform, with about 9 out of every 10 new OctoAI sign-ups choosing Mixtral. Companies like Latitude Games and Otherside AI use Mixtral on OctoAI to deliver engaging LLM-powered experiences, generating billions of tokens daily.
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Brave, an open-source privacy-focused web browser with an integrated AI assistant called Brave Leo, uses Mistral's 8x7B model as its primary model for both free and premium versions. Brave also leverages Mistral's capabilities for its CodeLLM feature, addressing programming-related queries in Brave Search. The exceptional performance and open-source nature of Mistral's models align with Brave's commitment to open models and the open-source community.
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Amplitude's marketing and product teams use Perplexity to draft market landscape insights, accelerating research and improving the quality of strategic decisions.
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Lambda uses Perplexity Enterprise Pro to streamline technical research and workflows across 15+ teams, including sales, content, and engineering. The AI provides reliable, cited information, helping users like technical writers, engineers, and sales reps accelerate documentation, sales outreach, and complex research tasks. This results in 475+ hours saved, faster task completion, and improved productivity.
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Product teams at Zoom use Perplexity’s Focus functionality for targeted search.
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Kinaxis and Dematic are building data-driven supply chains to address logistics use cases including scenario modeling, planning, operations management, and automation.
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Workday is using natural language processing in Vertex Search and Conversation to make data insights more accessible for technical and non-technical users alike.
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Replit developers will get access to Google Cloud infrastructure, services, and foundation models via Ghostwriter, Replit's software development AI, while Google Cloud and Workspace developers will get access to Replit’s collaborative code editing platform.
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Glean leverages Vertex AI and BigQuery to provide powerful, unified enterprise search across all workplace applications, websites, and data sources. This comprehensive solution helps employees quickly find exactly what they need and discover valuable information to perform their best work.
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Box, Typeface, Glean, CitiBank, and Securiti AI discuss developing AI-powered apps across the enterprise, with measurable returns on investment for marketing, financial services, and HR use cases.
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Box, Typeface, Glean, CitiBank, and Securiti AI discuss developing AI-powered apps across the enterprise, with measurable returns on investment for marketing, financial services, and HR use cases.
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Symphony, the communications platform for the financial services industry, uses Vertex AI to help finance and trading teams collaborate across multiple asset classes.
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Adobe leverages Microsoft Azure to streamline the customer experience, using AI and big data capabilities via Azure's OpenAI models. The partnership enables development of industry-specific AI, allowing Adobe to integrate their solutions with Microsoft's cloud services to create personalized customer experiences.
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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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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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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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Adobe is partnering with Microsoft to integrate Adobe Experience Cloud workflows and insights with Microsoft Copilot in Microsoft 365 applications. This planned integration will allow marketers to access relevant marketing insights and workflows from Adobe Experience Cloud and Microsoft Dynamics 365 directly within Outlook, Teams, and Word, leveraging generative AI capabilities to create content, manage approvals, and deliver experiences more efficiently.
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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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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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Cognizant uses Microsoft Azure Machine Learning to enhance its performance management system GoPerform by integrating AI to improve manager feedback, ensuring employees receive meaningful, actionable feedback.
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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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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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