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Presenter Profile:

How they describe themselves: Ayasdi is transforming how the world uses data to solve complex problems by automatically discovering and operationalizing insights from complex datasets. Founded in 2008 after a decade of DARPA and NSF funded research at Stanford, the Ayasdi Platform executes and merges the results of hundreds of machine learning algorithms using Topological Data Analysis (TDA), enabling users to explore their data within interactive and intuitive applications. Funded by Khosla Ventures, Institutional Venture Partners (IVP), GE Ventures, Citi Ventures, and FLOODGATE, Ayasdi’s customers include General Electric (GE), Citigroup, Anadarko, Boehringer Ingelheim, the University of California San Francisco (UCSF), and Mount Sinai Hospital.

How they describe their product/innovation: Ayasdi’s finance application allows capital markets businesses to automatically identify persistent relationships between market conditions and client trading behaviors and generate alerts based on this dynamic information. In addition, this application utilizes Ayasdi’s novel mathematical framework to predict model failure and systematically update the model in states where it fails.

This application leverages Ayasdi’s powerful platform, which integrates machine learning algorithms within a topological framework. This platform gives the application its ability to generate results that take several types of data into account, including, but not limited to: social data, numeric data, and the macro economy.

Product distribution strategy: Direct to Business (B2B), licensed

Contacts:

Bus. Dev.: Andrew Bowles, VP Bus. Dev.
Press: Dan Reidy, Reidy Communications Principal, dan@reidycommunications.com
Sales: Eric Knapp, VP North American Sales, eric.knapp@ayasdi.com