Financial Services organizations around the world are collecting and analyzing exabytes of data in order to gain a competitive advantage. As data grows exponentially in both volume and complexity, effectively analyzing it becomes extraordinarily difficult.
During this webinar, Michael Woods, Principal Data Scientist, discusses how Ayasdi's technology helps financial companies tackle some of their toughest data problems, such as screening lenders, identifying rogue traders, modeling credit card fraud, segmenting their customer base, and finding sales opportunities.
Michael holds a Bachelors in Mathematics from Stanford where he studied under Ayasdi co-founder Gunnar Carlsson. He has a decade of experience in capital markets, researching and deploying quantitative investment systems. Michael resides in Palo Alto, and plays the clarinet.