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How a nonprofit's AI tool is giving aid workers life-saving answers during humanitarian crises
- Mercy Corps developed an AI tool to assist aid workers in making faster decisions in the field by using generative AI to identify proven solutions from research and past projects.
- The tool aims to provide quick, reliable answers to aid workers' questions, based on past projects and research, enhancing decision-making in humanitarian crises.
- Alicia Morrison, the director of data science at Mercy Corps, recognized the potential of generative AI in speeding up information dissemination to decision-makers.
- Tech To the Rescue's AI for Changemakers program supported Mercy Corps in developing the tool, with Cloudera contributing engineering time and platform credits.
- The AI tool, called AI Methods Matcher, utilizes retrieval-augmented generation to offer recommendations by summarizing relevant information from successful projects.
- This tool helps aid workers receive evidence-based suggestions quickly, reducing the time and manual research required for data analysis in the field.
- Since its launch, Methods Matcher has seen strong adoption among field teams, prompting Mercy Corps to continue developing new AI tools and enhancing data literacy within the organization.
- Cloudera plans to introduce agentic AI into Methods Matcher through Agent Studio to automate tasks like real-time data gathering and trend analysis.
- The goal is to provide aid workers with richer, real-time context, improving the tool's responsiveness to events on the ground and enhancing decision-making processes during humanitarian crises.
- Mercy Corps sees AI tools as a priority investment area despite funding shifts and aims to refine and expand these tools based on team feedback.
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