14–17 Oct 2019
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Cofounder and Head of Analytics, Gramener
Ganes Kesari is a cofounder and head of analytics at Gramener, where he leads analytics and innovation in data science, advising enterprises on deriving value from data science initiatives and leading applied research in deep learning at Gramener AI Labs. He’s passionate about the confluence of machine learning, information design, and data-driven business leadership and strives to simplify and demystify data science.
11:55–12:35 Thursday, 17 October 2019
Location: King's Suite - Balmoral
Secondary topics: Computer Vision, Deep Learning, Health and Medicine, Machine Learning, Temporal data and time-series
Ganes Kesari (Gramener), Soumya Ranjan (Gramener)
(5.00, 1 rating)
In many countries, policy decisions are disconnected from data, and very few avenues exist to understand deeper demographic and socioeconomic insights. Ganes Kesari and Soumya Ranjan explain how satellite imagery can be a powerful aid when viewed through the lens of deep learning. When combined with conventional data, it can help answer important questions and show inconsistencies in survey data. Read more.
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