Sangeeta Chakraborty, Chief Customer Officer
As the Chief Customer Officer of Ayasdi, Sangeeta Chakraborty focuses on the design, development and deployment of intelligent applications at some of the world's largest and most complex enterprises. At Ayasdi she works with with Citi on a number of regulatory risk items stemming from Ayasdi's pioneering work with the bank on CCAR. Additionally, Sangeeta pioneered the development of a Center of Excellence at HSBC to capitalize on the gains achieved by applying artificial intelligence to the bank's anti-money laundering efforts.
Previously, she served as VP of Professional Services for Accela, the leading provider of cloud-based civic engagement solutions for governments. She built multiple professional service practices across a number of successful startups including Digital Fuel (acquired by VMWare), Inquira (acquired by Oracle) and Interwoven. Sangeeta began her career in consulting with Tata, Fujitsu and Vitria, and earned her BS in Computer Science from the National Institute of Technology in Warangal, India and her MBA from UC Berkeley.
Dr. Jennifer Kloke, VP Product Innovation
Dr. Jennifer Kloke is the VP of Product Innovation at Ayasdi. For the last three years, she has been responsible for the automation and algorithm development for the entire Ayasdi codebase and led many efforts to development cutting edge analysis techniques utilizing TDA and AI. During that time, she was the principal investigator for a Phase 2 DARPA SBIR developing automation and data fusion capabilities. These have led to breakthroughs in the field and several patents. Jennifer also served five years as a Senior Data Scientist analyzing a wide variety of data including point cloud, text, and networks from diverse industries including large military contractors, finance, bio-tech, and electronics manufacturing. Her work includes developing prediction algorithms for reducing the number of false alarms for a large military jet manufacturer as well as developing and deploying a predictive program management application at a large government contractor.
Jennifer received her Ph.D. in Mathematics from Stanford University with an emphasis on topological data analysis. She has collaborated with chemists at Lawrence Berkeley National Laboratory and UC Berkeley to develop topological methods to mine large databases of chemical compounds to identify energy efficient compounds for carbon capture. She also developed a de-noising algorithm to efficiently process high dimensional data and has published in the Journal of Differential Geometry.
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INDUSTRY-FOCUS: HEALTHCARE & FINANCIAL
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