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HPCC Systems blog contributors are engineers and data scientists who for years have enabled LexisNexis customers to use big data to fulfill critical missions, gain competitive advantage, or unearth new discoveries. Check this blog regularly for insights into how HPCC Systems technology can put big data to work for your own organization.

Flavio Villanustre on 05/20/2019
While humans aren’t as fast or accurate as computers when it comes to analyzing data, computers are no match for us when it comes to the informed application of that analysis, creativity, lateral thinking and emotional intelligence. We possess critical thinking and experience that today’s computers simply can’t replicate. Likewise, computers don’t have the capability for ethical thinking that humans do.
Cassandra Walker on 05/07/2019
This ECL Tip spotlights the Enterprise Control Language (ECL) SET and the functions that incorporate SET. ECL SET is a useful tool in query design and processing. One of the most common applications for ECL SET is to simplify code by eliminating multiple “OR” conditions in a filter.
Jessica Lorti on 05/02/2019
Jo Prichard is a senior data scientist at LexisNexis Risk Solutions and a long-time HPCC Systems user. Focusing on big data research and development, Jo helps enterprises target fraud, collusion and other socio-behavioral risk factors.
Roger Dev on 04/09/2019
Text Vectorization allows for the mathematical treatment of textual information. Words, phrases, sentences, and paragraphs can be organized as points in high-dimensional space such that closeness in space implies closeness of meaning. HPCC Systems' new TextVectors module supports vectorization for words, phrases, or sentences in a parallelized, high-performance, and user-friendly package.
Cassandra Walker on 04/03/2019
The Enterprise Control Language (ECL) LOOP function has always been a powerful, yet tough function to understand and use. For this reason, changes were made to the HPCC Systems ECL Language Reference manual. The documentation updates make it easier to understand and effectively use the ECL LOOP function.
Sharon Vanairsdale on 04/01/2019
Imagine a hard hat that can detect, alert, and prevent hazardous industrial work-related incidents through the use of advanced technology. GuardHat CTO, Anupam Sengupta, and his co-founders created just that.
Richard Chapman on 03/18/2019
Although Java was the first language that we created a plugin for (not counting embedded C++ for which didn’t need a plugin), in some ways the support for using Java with ECL has been a bit more limited than for some other languages, particularly Python. However, in the upcoming 7.2 release of the platform, that’s going to change.
Flavio Villanustre on 03/13/2019
Most businesses are now very familiar with technologies like big data analytics, artificial intelligence (AI) and machine learning (ML). Executives have poured over case studies and performance statistics to better understand how these technologies can improve their products and services, as well as improve efficiencies and reduce costs associated with their own internal processes and operations.
Lorraine Chapman on 03/12/2019
Our Academic Program supports a number pf PhD students in their research studies. This blog features the most recent work of Jingqing Zhang, a PhD student working in the Data Science Institute at Imperial College, London. At our last meeting, Jingqing took us through his plans for the coming months as he works to make progress on his latest project involving deep learning models.
Lili Xu on 03/04/2019
Imagine you are sitting in front of thousands of articles and trying to organize them into different folders. How would you accomplish it and how long would you expect to finish it? Reading all the articles one by one and spending days or even months to finish the task? If you have some sort of data but have no clue how to efficiently cluster them, then this article should be a right place to start.