Practical AI Mapping the intersection of AI and GIS
Mar 30, 2020
Daniel Wilson, AI lead for professional services at Esri, and Rob Fletcher, a senior data scientist at Esri, discuss the exciting intersection of AI and GIS. They cover how AI enhances geospatial analysis, transforming satellite imagery into actionable insights for disaster response. Their work with the DoD's Joint AI Center highlights the use of AI for humanitarian assistance. The duo also explores the challenges of data labeling and the potential of multimodal datasets to revolutionize predictions in urban planning and disaster management.
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Daniel Wilson's Path to Data Science
- Daniel Wilson's career began in engineering physics, but a desire to apply math led him to data science.
- He's self-taught in machine learning, using Bishop's book and mentorship to grow his expertise in the field.
Rob Fletcher's Journey to Esri
- Rob Fletcher transitioned from particle physics research, using machine learning at the Large Hadron Collider, to data science at Esri.
- He was drawn by the opportunity to apply AI to the unexplored territory of GIS.
Esri's Role in Geospatial Data Management
- Esri manages geospatial data, offering tools for analysis and visualization.
- Their software, ArcGIS, aids in mapping, analysis, and managing geospatial data like language survey maps.
