Improving hospital discharge summaries
NoHarm.ai, a healthcare non-profit startup in Brazil, uses Meta Llama 2 and an open-source web application to improve hospital discharge summaries for patient care transitions. The NoHarm Discharge Summary tool extracts key information from inpatient records using Named Entity Recognition (NER) and generates discharge summaries in Portuguese for physicians to validate, enhancing data organization and communication within the healthcare system.
50
AI use cases in
Healthcare
Promega uses ChatGPT extensively across departments to streamline processes in manufacturing, sales, and marketing. ChatGPT assists in forecasting equipment replacement timelines, gathering protein specifications for custom assays, and automating customer requests in quality assurance workflows. Custom GPTs in sales and marketing also enhance prospecting and email campaign efficiency.
Inteleos uses Perplexity Enterprise Pro to assist their team in developing quiz questions for medical professionals, improving efficiency and maintaining security and accuracy. The tool helps automate research and drafting, allowing subject matter experts to create explanatory paragraphs and other content more quickly.
Neuromnia uses Meta's Llama 3.1 to develop Nia, an AI assistant for automating ABA therapy tasks.
94
companies using
Data Agents
AES uses Claude on Google Cloud’s Vertex AI to automate their safety audit process, employing a multi-agent system to analyze documents, break down tasks, and generate reports. This system processes hundreds of pages, evaluates compliance, and produces detailed audit reports in about an hour.
Local Falcon, a platform that helps businesses improve their Google search rankings, utilizes Anthropic's Claude to analyze millions of customer reviews. This enables them to deliver clear, actionable recommendations, enhancing their clients' local search visibility.
Grab, a leading food delivery and rideshare company in Southeast Asia, uses OpenAI’s GPT-4 with vision fine-tuning to process millions of street-level images collected from drivers, enabling it to accurately identify traffic signs and lane dividers and reduce manual mapping labor. This approach yields more reliable, hyperlocal map data that supports their ride-hailing, delivery services, and enterprise clients.
49
solutions powered by
Meta
Roboflow uses Meta's Segment Anything Model (SAM) to enable users to automatically segment objects in images and videos, significantly reducing the time required to create training datasets for computer vision models.
Untukmu.AI, an online gifting site in Indonesia, uses Meta's Llama 3.1 8B model with split inference processing to protect customer privacy. By running part of the AI model on customers' devices and the rest on their servers, they deliver personalized gift recommendations without accessing or storing personal data. This ensures customer privacy while still providing high-quality, tailored suggestions, enhancing trust and satisfaction.
CodeGPT, a popular coding assistant with over 1.4 million downloads, integrates Meta's Llama models to enhance developer productivity. By using Llama 3.2 (90B), CodeGPT helps developers not just generate code but also answer questions about their codebase, debug code, and onboard new team members. It includes a codebase graph mechanism that lets Llama understand entire repositories, allowing developers to effectively "talk" with their code. This integration leads to at least a 30% increase in productivity and accelerates onboarding from months to days.
16
AI use cases in
South America
Mania de Churrasco! centralized its data using Microsoft Azure, Power Platform, and Microsoft 365, improving operational efficiency. The company integrated sales, employee, and self-service data, leading to better decision-making. They are now leveraging OpenAI's models on Microsoft Azure Service for predictive models and AI integration.
Mercado Libre has incorporated semantic search into its digital shopping platforms, using AI embeddings from the Vertex AI Agent Builder, which greatly improved product recommendations and discoverability for more than 200 million consumers across Latin America.
Hemominas, Brazil's largest blood bank, developed a chatbot for donor search and scheduling.