Creators of AI systems have a responsibility to figure out how they might go wrong, and govern them accordingly.
From Gurjeet Singh’s Interval talk, “The Shape of Data and Things to Come.”
About this Talk
Big Data promises unparalleled insights, but the larger the data, the harder they are to find. The key to unlocking them was discovered by mathematicians in the 18th century. A modern mathematician explains how to find patterns in data with new algorithms for old math.
About Gurjeet Singh
Gurjeet Singh is Chief AI Officer and co-founder of Symphony AyasdiAI. He leads a technology movement that emphasizes the importance of extracting insight from data, not just storing and organizing it. Beginning with his tenure as a graduate student in Stanford’s Mathematics Department he has developed key mathematical and machine learning algorithms for Topological Data Analysis (TDA) and their applications. Before starting Ayasdi, he worked at Google and Texas Instruments.
Dr. Singh holds a Technology degree from Delhi University and a Computational Mathematics Ph.D. from Stanford. He serves on the Technology Advisory Board at HSBC and on the U.S. Commodity Futures Trading Commission’s Technology Advisory Committee. He was named to Silicon Valley Business Journal’s “40 Under 40” list in 02015. Gurjeet lives in Palo Alto with his wife and two children and develops multi-legged robots in his spare time.
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