Rapid deforestation detection
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Project Guacamaya integrates daily satellite imagery from Planet Labs with Amazon-specific AI models to monitor deforestation in the rainforest. It employs a custom multimodal audio language model (CLAP) for bioacoustic analysis and open-source image models developed using the Pytorch Wildlife framework to rapidly identify deforestation patterns and animal species. This integrated solution supports government agencies and research institutions by streamlining environmental monitoring and enabling prompt conservation actions.
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10x faster species identification
19
AI use cases in
Non-profit
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Kenya Red Cross worked with Pathways Technologies to develop an AI-powered mental health chatbot called Chat Care using Azure AI services. The chatbot initiates conversations on mental health, suggests ways to help such as breathing exercises and in-person services, operates in English and Swahili, and is available 24/7. It expands the reach of mental health services without overstretching human counselors and helps overcome stigma.
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Qatar Charity partnered with Netways to implement INNOV8 for Copilot Studio on a unified cloud-based call center platform built on Microsoft Azure and Dynamics 365 Customer Service, consolidating disparate communication channels into one integrated interface. They leveraged low-code tools such as Microsoft Power Apps and Azure Logic Apps alongside AI-driven automation via Microsoft Copilot Studio and Azure AI Services to streamline call handling processes, consolidate data management, and reduce IT maintenance complexity.
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British Heart Foundation, Europe's largest funder of heart and circulatory disease research, is testing Microsoft 365 Copilot with about 300 employees. Staff are using the AI assistant to stay up to date on office communication, craft emails and documents, and search across the nonprofit’s tech platforms. They delegate tasks to Copilot, which helps them save time on routine tasks and focus on their mission.
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149
companies using
Data Agents
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Aura Intelligence integrated Anthropic's Claude via Amazon Bedrock into its data pipeline to automatically classify over 200 million job titles and industry pairings from multi-language data, replacing manual lookups and fuzzy matching. They fine-tuned foundation models on proprietary datasets and leveraged AWS infrastructure, including SageMaker and prompt management, to automate QA, report generation, anomaly detection, and real-time hiring trend analysis.
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LaunchNotes leverages Claude in Amazon Bedrock in their product 'Graph' to transform engineering data into actionable insights. Graph functions as an ETL platform with Claude managing data pipelines, helping engineering managers understand development metrics, reduce incident identification time, automate updates, and generate customized release notes and technical documentation.
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Snowflake integrated Anthropic's Claude into their platform to enable natural language queries on complex databases, allowing customers to extract insights without SQL expertise while maintaining security and governance.
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226
solutions powered by
Microsoft
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The school deployed Microsoft Reading Progress and Microsoft Immersive Reader, two AI-powered apps integrated within Microsoft Teams, to support individualized learning. The tools record reading sessions, provide real-time feedback on pronunciation and errors, and translate texts to enable comprehension across multiple languages. This setup streamlines classroom instruction, personalizes student learning, and reduces teacher workload.
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Vodafone uses Azure OpenAI Service, Azure AI Foundry, Microsoft Copilot, and Azure AI Search to enhance their virtual assistant TOBi and develop SuperAgent to assist customer service agents. TOBi uses conversational AI to handle customer inquiries, while SuperAgent helps agents solve complex problems faster.
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Ontada leveraged Microsoft’s Azure OpenAI Service Batch API and Azure AI Foundry to build its ON.Genuity platform, which processes 150 million unstructured oncology documents to automatically extract nearly 100 critical data elements across 39 cancer types. They integrated the new platform with their structured iKnowMed system using Azure Databricks for data ingestion and Azure Document Intelligence for text extraction, transforming manual chart review processes into an automated workflow that supports clinical decision-making and life science product development.
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40
AIÂ use cases in
South America
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704 Apps implemented an AI solution using Vertex AI and Gemini 1.5 Pro to automate and accelerate driver identity verification and safety monitoring. They integrated these AI models into their existing cloud infrastructure built on Firebase and Google Kubernetes Engine, centralizing real-time data for document validation and audio sentiment analysis. The system alerts the central monitoring team when risk-related language is detected, streamlining operational decision-making and enhancing security.
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Nubank implemented a custom AI-driven enterprise search solution by integrating GPT‑4o and GPT‑4o mini with fine-tuned domain-specific models and Retrieval-Augmented Generation techniques, enabling employees to access FAQs, policies, and internal documents rapidly. They also developed a call center copilot using GPT‑4o that integrates the bank’s knowledge base and chat history to provide real-time conversation summaries, next-reply suggestions, and step-by-step guidance for agents, and launched an AI assistant to handle Tier 1 inquiries. Furthermore, Nubank piloted a fraud quality assurance system using GPT‑4o vision to analyze transactions and visual data, ensuring robust fraud detection according to regulatory requirements.
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Advolve, a B2B SaaS company, uses Claude from Anthropic as the central orchestrator of their AI platform to automate digital marketing across multiple platforms. Claude enables them to manage millions of ads simultaneously, automate workflows, generate creative assets and copywriting, and dynamically allocate budgets for optimal return on ad spend.
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