Behind many of today’s most impactful AI solutions lies a quiet yet essential force: mapping. From climate modeling to humanitarian logistics, from global supply chains to predictive health, geospatia…
Behind many of today’s most impactful AI solutions lies a quiet yet essential force: mapping. From climate modeling to humanitarian logistics, from global supply chains to predictive health, geospatial data and mapping technologies are the connective tissue that make AI actionable in the real world.
This keynote explores how maps—far more than visual tools—serve as critical data infrastructure, enabling AI systems to understand, navigate, and respond to our planet’s most urgent challenges. Drawing on real-world examples, we’ll highlight how this invisible layer underpins innovation across domains, and why its role in AI is only becoming more vital.
Through the lens of geospatial information, the keynote also uncovers the broader implications for open data ecosystems, showing how accessible, shared data infrastructure can accelerate responsible AI development and deployment across sectors.
Sobre Dr. Werner Vogels: Dr. Werner Vogels is Chief Technology Officer at Amazon.com where he is responsible for driving the company's customer-centric technology vision.
As one of the forces behind Amazon's approach to cloud computing, he is passionate about helping young businesses reach global scale, and transforming enterprises into fast-moving digital organizations.
Vogels joined Amazon in 2004 from Cornell University where he was a distributed systems researcher. He has held technology leadership positions in companies that handle the transition of academic technology into industry. Vogels holds a PhD from the Vrije Universiteit in Amsterdam and has authored many articles on distributed systems technologies for enterprise computing.
On his blog, all things distributed, Werner shares insights and thought leadership content on a range of topics, such as cloud computing, machine learning, artificial intelligence, as well as his annual technology predictions.
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