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HPCC Systems is working with organizations to solve Big Data problems. See below for our latest news updates.


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.
Flavio Villanustre talks about the career opportunities in the data science field.
HPCC Systems tested their open-source THOR workload with NFS 3.0 protocol and reached 200Gb/s throughput on a single blob storage account.
HPCC Systems is listed in the article on 15 big data tools and technologies to know about in 2021.
Atlanta-based FinTech company, leveraging HPCC Systems open source data lake platform, is recognized as 2021’s Most Innovation Payments Tech Company.
Flavio Villanustre shares his thoughts on responsible AI and how it can offer companies a competitive edge.
HPCC Systems offers a challenge at Kennesaw State University's inaugural Hackathon for Social Good.
Modeling and tracking Covid-19 cases using Big Data analytics on HPCC system platform

Press Releases

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.