Tags: data analytics


Patrick Ball
Patrick Ball, Director of Research, Human Rights Data Analysis Group, offered examples of when statistics and machine learning have proved useful and when they’ve failed in this presentation from Open Source Summit Europe.

Machine Learning, Biased Models, and Finding the Truth

Machine learning and statistics are playing a pivotal role in finding the truth in human rights cases around the world – and serving as a voice for victims, Patrick Ball, director of Research for the Human Rights Data Analysis Group, told the audience at Open Source Summit Europe. Ball began his...
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Removing the Storage Bottleneck for AI

If the history of high performance computing has taught us anything, it is that we cannot focus too much on compute at the expense of storage and networking. Having all of the compute in the world doesn’t mean diddlysquat if the storage can’t get data to the compute elements – whatever they might...
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Deep Learning Scaling Is Predictable, Empirically

Deep learning scaling is predictable, empirically Hestness et al., arXiv, Dec.2017 With thanks to Nathan Benaich for highlighting this paper in his excellent summary of the AI world in 1Q18 This is a really wonderful study with far-reaching implications that could even impact company strategies in...
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Linux Foundation Launches LF Deep Learning Foundation to Accelerate AI Growth

As this week’s Open Network Summit gets underway, The Linux Foundation has debuted the LF Deep Learning Foundation, an umbrella organization focused on driving open source innovation in artificial intelligence, machine learning and deep learning.  The goal of the LF Deep Learning Foundation is to...
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GPU Computing: The Key to Unleashing the Mysteries of All That Data

To effectively handle all the data being created in the world today, we need GPU computing. To harness this goldmine of data, artificial intelligence and machine learning has emerged, which uses algorithms to train data to find patterns. The problem is, traditional CPUs (central processing units)...
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Improving Security Through Data Analysis and Visualizations

We’ve all heard the saying that a picture is worth a thousand words. When done properly, visualizing data enables people to see relationships and patterns in their data that they might never see, or alternately would take them a very long time to uncover. Visualizing data also enables humans to...
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LinkedIn Announces Open Source Tool to Keep Kafka Clusters Running

Today at The Kafka Summit in San Francisco, LinkedIn announced a new load balancing tool called Cruise Control, which has been developed to help keep Kafka clusters up and running. The company developed Kafka, an open source message streaming tool to help make it easier to move massive amounts of...
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Hadoop deployment
To follow up their recent webinar, John Mertic, Director of ODPi at the Linux Foundation, and Tamara Dull, Director of Emerging Technologies at SAS Institute, answer questions about moving Apache Hadoop into enterprise-wide deployments.

ODPi Webinar on Taking Apache Hadoop Enterprise-Wide: Your Questions Answered

ODPi recently hosted a webinar with John Mertic, Director of ODPi at the Linux Foundation, and Tamara Dull, Director of Emerging Technologies at SAS Institute, to discuss ODPi’s recent 2017 Preview: The Year of Enterprise-wide Production Hadoop whitepaper and explore DataOps at Scale and the...
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Yandex Open Sources CatBoost, A Gradient Boosting Machine Learning Library

Artificial intelligence is now powering a growing number of computing functions, and today the developer community today is getting another AI boost, courtesy of Yandex. Today, the Russian search giant — which, like its US counterpart Google, has extended into a myriad of other business lines, from...
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ODPi webinar
Dive into DataOps on June 28 with free webinar featuring John Mertic, Director of ODPi at The Linux Foundation, and Tamara Dull, Director of Emerging Technologies at SAS Institute.

ODPi Webinar on DataOps at Scale: Taking Apache Hadoop Enterprise-Wide

2016 was a pivotal year for Apache Hadoop, a year in which enterprises across a variety of industries moved the technology out of PoCs and the lab and into production. Look no further than AtScale’s latest Big Data Maturity survey, in which 73 percent of respondents report running Hadoop in...
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