Data-driven approaches have led to powerful prediction, optimization and automation techniques. Powered by large-scale, networked computer systems and machine learning algorithms, these have been very impactful to-date and hold great promise in many disciplines, even in the humanities and social sciences. However, no new technology arrives without complications, and we have recently seen the press and various political circles illustrating problematic implications of Big Data. This presentation aims to balance the opportunities provided by Big Data and its associated artificial intelligence techniques with a discussion of the various challenges that have ensued.
Alfred Spector is Chief Technology Officer at Two Sigma, a firm dedicated to using information to undertake many forms of economic optimization. Dr. Spector's career has led him from innovation in large scale, networked computing systems (at Stanford, CMU, and his company, Transarc) to broad research leadership: eight years leading Google Research and five years leading IBM Software Research. He received an AB in Applied Mathematics from Harvard and a Ph.D. in Computer Science from Stanford.
This event is free and open to the public.