In 2011 LexisNexis Risk Solutions generously released the platform as an open source project. Today, the open source HPCC Systems platform has adopted a number of standards and developed capabilities in a broad range of areas, including machine learning and analytics and an improved security model.

The presentation spotlights a free coding and mentoring program that the company funded and hosted for 29 students in collaboration with the Technology Association of Georgia Education Collaborative (TAG-Ed ) and Higher Ground Education.

Quod, the first Brazilian fintech company handling database management focused on “positive credit scoring,” selected LexisNexis Risk Solutions as its strategic technical provider for two primary reasons. LexisNexis Risk Solutions’ high-powered data processing platform, HPCC Systems® and LexisNexis Risk Solutions analytic expertise that facilitates a deeper understanding of consumer behavior. HPCC Systems® will allow Quod to efficiently process and analyze complex datasets in a matter of seconds.

LexisNexis Risk Solutions uses its proprietary statistical linking model, Scalable Automated Linking Technology (SALT), to achieve accurate record linkage.

Robust solution promotes provider directory accuracy to benefit payers, clinicians & consumers.

Cooperative venture to explore early detection of research integrity issues and to develop tools for Text & Data Mining.

Call for competition entries to advance scalable solutions for water and sanitation challenges.

Brazilian banks' effort paves the way to financial inclusion for millions of consumers and efficient assessment of consumer credit risk.