CASE STUDY
Cloudera has partnered with Mercy Corps , a leading global organization working with communities in over 40 countries affected by crisis , disaster , poverty and climate change to address urgent needs and develop long-term solutions for lasting change .
Formed through the company ’ s participation in Tech To The Rescue ’ s AI for Changemakers program , the collaboration leverages Cloudera ’ s new AI Inference solution with NVIDIA AI on Amazon Web Services ( AWS ) to enable Mercy Corps to advance the precision and effectiveness of its aid distribution technology .
In regions like the Middle East and Africa , agricultural crises can quickly become humanitarian disasters , threatening millions of lives . Despite this urgency , humanitarian organizations often struggle to access timely , accurate data to anticipate and respond effectively to these crises and minimize their impact .
To help close this gap , Cloudera partnered with Mercy Corps to develop the AI-driven Methods Matcher tool .
Methods Matcher , an AI-powered solution , can summarize , reference and recommend research , best practices , and data-driven crisis responses for global humanitarian aid experts . It equips Mercy Corps ’ field teams with examples of relevant AI projects successfully executed in other regions , giving them insight into analyses for program design , implementation , and decision-making .
This tool , built from end-to-end by Cloudera Professional Services , reduces research time and boosts response efficiency when humanitarian teams – and communities – need it most .
Running on AWS with full-stack NVIDIA AI accelerated computing , this cloud-based application offers Mercy Corps teams access to an AI assistant that queries
AI WILL ENABLE US TO RESPOND TO
CRISES FASTER AND MAKE CRITICAL ,
DATA-DRIVEN DECISIONS WHEN IT
MATTERS MOST .
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