SOURCE: LexisNexis HPCC Systems

LexisNexis HPCC Systems

July 13, 2012 13:00 ET

LexisNexis Vice President Dr. Flavio Villanustre to Deliver Keynote Address at WORLDCOMP'12 on Leading Edge Developments in Distributed Machine Learning to Help Organizations Better Glean Insight From Big Data

ATLANTA, GA--(Marketwire - Jul 13, 2012) - LexisNexis® Risk Solutions announced that Dr. Flavio Villanustre, vice president, technology architecture and product, will deliver a keynote address at WORLDCOMP'12 - The 2012 World Congress in Computer Science, Computer Engineering, and Applied Computing.

Dr. Villanustre will give a technical overview of leading edge developments in distributed machine learning utilizing the HPCC Systems platform that helps organizations glean knowledge from big data to solve problems quicker and compete more effectively. HPCC Systems® is the big data analytics and processing platform from LexisNexis Risk Solutions.

The rise of big data and the need to extract knowledge from it have made machine learning methodologies important to many industries. Data analysis techniques applied to, for example, large scale classification problems, recommendation systems, sentiment analysis, social graph traversal and fraud detection, are leveraged across different industries for industry knowledge, product development, customer insight and detection of important data patterns and trends. The effectiveness of organizations to solve problems, compete, or launch products to market will depend on their ability to quickly leverage the most appropriate algorithms and machine learning methods to quickly extract knowledge from big data to make critical decisions.

The keynote address titled "ECL and Distributed Machine Learning with the HPCC Systems platform" will focus on how machine learning algorithms can scale to big data processing, through parallel execution across multiple computing cores and interconnected commodity nodes, leveraging cost-efficient architectures. The keynote will also provide an overview of a programming language called Enterprise Control Language (ECL). The combined power of ECL and machine learning bypasses the challenges inherent in traditional data analysis, and gives organizations a competitive advantage.

As vice president of technology architecture and product, Dr. Villanustre is responsible for overall platform architecture strategy and new product development. Prior to 2001, Dr. Villanustre served in a variety of roles at different companies including Infrastructure, Information Security and Information Technology. In addition to this, Dr. Villanustre has been involved with the open source community for over 15 years through multiple initiatives. Some of these include founding the first Linux User Group in Buenos Aires (BALUG) in 1994, releasing several pieces of software under different open source licenses, and evangelizing open source to different audiences through conferences, training and education. He is a frequent speaker in the areas of data-intensive computing and machine learning, and has coauthored papers on parallel and data-intensive computing. Before his technology career, Dr. Villanustre was a neurosurgeon.

Session Title
Keynote Lecture 3
ECL and Distributed Machine Learning with the HPCC Systems Platform

07/16/2012 11:00 - 11:55a.m.

The Monte Carlo Theatre
The Monte Carlo Resort and Casino
3770 Las Vegas Blvd. South
Las Vegas, Nevada, 89109

About HPCC Systems®
HPCC Systems® ( from LexisNexis® Risk Solutions offers a proven, data-intensive supercomputing platform designed for the enterprise to process and solve big data analytical problems. As an alternative to legacy technology, HPCC Systems offers a consistent data-centric programming language, two processing platforms and a single, complete end-to-end architecture for efficient processing.

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About LexisNexis Risk Solutions
LexisNexis® Risk Solutions ( is a leader in providing essential information that helps customers across all industries and government predict, assess and manage risk. Combining cutting-edge technology, unique data and advanced scoring analytics, we provide products and services that address evolving client needs in the risk sector while upholding the highest standards of security and privacy. LexisNexis Risk Solutions is part of Reed Elsevier, a leading publisher and information provider that serves customers in more than 100 countries with more than 30,000 employees worldwide.

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