Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community.
In this flashpod, Jessie Pechmann, Humanitarian GIS and Data Protection Lead with Humanitarian OpenStreetMap, speaks with Humanitarian AI Today producer Brent Phillips about satellite imaging, GIS, and the uses of AI in assessing building damage. They touch on how different AI models and methods can produce wildly different results for the same area, highlighting the need for transparency and better validation practices, including humans in the loop providing local knowledge and oversight. They also discuss the importance of "data commons," the open, shared data resources that humanitarian organizations rely on, and the challenges of supporting them amid a shift away from traditional government funding, which risks data becoming "siloed" as funding moves toward philanthropic or paid-for services.
Substack notes: https://humanitarianaitoday.substack.com/p/jessie-pechmann-from-humanitarian
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Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community.
In this flashpod, Jessie Pechmann, Humanitarian GIS and Data Protection Lead with Humanitarian OpenStreetMap, speaks with Humanitarian AI Today producer Brent Phillips about satellite imaging, GIS, and the uses of AI in assessing building damage. They touch on how different AI models and methods can produce wildly different results for the same area, highlighting the need for transparency and better validation practices, including humans in the loop providing local knowledge and oversight. They also discuss the importance of "data commons," the open, shared data resources that humanitarian organizations rely on, and the challenges of supporting them amid a shift away from traditional government funding, which risks data becoming "siloed" as funding moves toward philanthropic or paid-for services.
Substack notes: https://humanitarianaitoday.substack.com/p/jessie-pechmann-from-humanitarian
Neha Bajwa from Neo4j Unveils New Tools to Build, Test, and Deploy AI Agents
Humanitarian AI Today
11 minutes 42 seconds
1 month ago
Neha Bajwa from Neo4j Unveils New Tools to Build, Test, and Deploy AI Agents
Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community.
In this flashpod, Neha Bajwa, Vice President of Product Marketing at Neo4j, joins Humanitarian AI Today producer Brent Phillips to discuss Neo4j’s major plans to support agentic AI systems that will directly benefit nonprofits and humanitarian organizations. Neo4j is the world’s leading graph intelligence platform for AI systems, and the company’s two new tools, Neo4j Aura Agent and the Model Context Protocol Server for Neo4j, will address critical development obstacles and help organizations rapidly build, test, and deploy AI agents. They also discuss Neo4j’s Graphs for Good program and Neo4j’s upcoming “NODES” developer conference, which is the biggest graph community gathering dedicated to applications, data intelligence, knowledge graphs, and AI.
Substack notes: https://humanitarianaitoday.substack.com/p/neha-bajwa-from-neo4j-unveils-new
Humanitarian AI Today
Voices is a new mini-series from Humanitarian AI Today. In daily five-minute flashpods we pass the mic to humanitarian experts and technology pioneers, to hear about new projects, events, and perspectives on topics of importance to the humanitarian community.
In this flashpod, Jessie Pechmann, Humanitarian GIS and Data Protection Lead with Humanitarian OpenStreetMap, speaks with Humanitarian AI Today producer Brent Phillips about satellite imaging, GIS, and the uses of AI in assessing building damage. They touch on how different AI models and methods can produce wildly different results for the same area, highlighting the need for transparency and better validation practices, including humans in the loop providing local knowledge and oversight. They also discuss the importance of "data commons," the open, shared data resources that humanitarian organizations rely on, and the challenges of supporting them amid a shift away from traditional government funding, which risks data becoming "siloed" as funding moves toward philanthropic or paid-for services.
Substack notes: https://humanitarianaitoday.substack.com/p/jessie-pechmann-from-humanitarian
