FICO World Presentation
Join us as we explore some of the groundbreaking tools we’re building in the FICO® Scores lab to extract greater value in credit risk assessment from a diverse set of data sources. In order to derive important insights from data, one first has to be able to access it! In this age of increasing data privacy concerns, synthetic data generators offer the promise of access to large and representative datasets without the limitations on analytic innovation that can accompany many “real” datasets. This can help you make better use of data to improve your customers’ experience, while also mitigating compliance and reputational risks associated with the use of sensitive data. And even once the hurdles associated with accessing reams of data have been overcome, it can be overwhelming to make sense of that data without tools to help separate the wheat from the chaff. Automated feature detection tools help efficiently and effectively extract powerful variables from data, to streamline R&D efforts and get to more predictive models faster. These tools can be particularly helpful in the context of synthesizing less structured datasets such as raw transactional and/or relational data. In this session, we’ll also share our latest thinking on how automated feature discovery tools can be combined with synthetic data generation to effectively and securely capture the predictive content of less structured data.
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