Jingqing Zhang, a PhD Candidate in the Department of Computing at Imperial College London, has been working with HPCC Systems academic program to develop a deep learning framework. His research on natural language processing aims to extract intelligence from electronic health records and could give doctors a helping hand.
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.