The first-ever Predictive Analytics World conference dedicated to Financial Services will be held this October 23-27 in New York. These keynote speakers and other expert presenters will make history by participating in this inaugural event while showing attendees new and innovative ways to use data science to minimize risk and multiply profits. Register now for early bird pricing, and save an additional $150 with code KDN150.
| ||Big Data Analytics Front-to-Back: Application Case Studies in Financial Services in the Back and Front Offices |
Presented by Usama Fayyad, Chief Data Officer at Barclays
This talk will focus on issues and opportunities in adopting Big Data technology and supporting predictive analytics in banking applications. We will cover case studies in front and back offices: from consumer-facing applications to drive engagement and revenue to applications in back office functions including Finance, Risk, Treasury and Compliance. With Big Data comes a very strong need to apply the proper Data Governance approach which is a pragmatic necessity and not just a regulatory and controls issue in order to avoid the "data chaos" that many institutions find themselves in once they embark on the Big Data journey.
|Accelerating Analytics Maturity in the Financial Services Industry |
Presented by Bin Mu, VP of Business Analytics at MetLife
Analytics have been recognized as one of the most important value drivers in today's business. Most financial companies have created analytics capability in different ways and forms. The benefits are obvious, but sometime it also brings back challenges that many companies have experienced in the past: overlapping, redundancy, and conflicting. Bin Mu, Chief Analytics Officer of MetLife, will discuss how to create efficacy in analytics, and maximize analytics capabilities across business and function.
| ||Fraud Screening for 2/3rds of All Card Transactions: A Consortium and Its Data |
Presented by Scott Zoldi, Chief Analytics Officer at FICO
FICO scores 65% of all the world's payment card transactions for fraud. It accomplishes this by maintaining a payment card transaction consortium utilized in the production of the Falcon platform, which monitors a majority of the world's payment cards. Maintaining this data consortium poses challenges given the large number of financial services contributors. FICO utilizes analytics ranging from automated statistical testing, massive model robustness tests, outlier analytics, and auto-encoder technologies focused on ensuring data quality and integrity. Learn how FICO tackles the consortium with advanced analytics to monitor new trends in the global payment card space and ferrets out new transaction patterns used to protect your payment card.
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