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Driving High Frequency Trading and Compliance with In Memory Computing

In the video presentation below, courtesy of our friends over at GridGain, Eric Karpman shares how some of the world’s largest financial institutions use in-memory computing to address the challenges of high frequency trading.

Video: Why use Tables and Graphs for Knowledge Discovery System?

In this video from the 2016 HPC User Forum in Austin, John Feo from PNNL presents: Why use Tables and Graphs for Knowledge Discovery System? “GEMS software provides a scalable solution for graph queries over increasingly large data sets. As computing tools and expertise used in conducting scientific research continue to expand, so have the enormity and diversity of the data being collected. Developed at Pacific Northwest National Laboratory, the Graph Engine for Multithreaded Systems, or GEMS, is a multilayer software system for semantic graph databases. In their work, scientists from PNNL and NVIDIA Research examined how GEMS answered queries on science metadata and compared its scaling performance against generated benchmark data sets. They showed that GEMS could answer queries over science metadata in seconds and scaled well to larger quantities of data.”

Visualizing and Understanding Deep Neural Networks

In this presentation, Matthew Zeiler, Ph.D., Founder and CEO of Clarifai Inc, speaks about large convolutional neural networks. These networks have recently demonstrated impressive object recognition performance making real world applications possible.

Deep Learning at Google with Jeff Dean

In the Google TechTalk video presentation below, luminary Jeff Dean discusses the use of Deep Learning at Google – “Large-Scale Deep Learning for Intelligent Computer Systems.”

Solving the Data Integration Challenge with a Purpose-Built IIoT Application

In the video presentation below, Alex Clark, Chief Software Architect & Founder at BitStew, talks about Industrial Internet of Things (IIoT), its challenges, and opportunities.

How Viacom Built a Just-in-Time Data Warehouse

In the video presentation below from Spark Summit East 2016 conference, Viacom, the global media company, explains how they are using Apache Spark and Databricks to quickly adapt to their audience by building a just-in-time data warehouse.

Data Science at Ticketmaster

In the video presentation below, Jenn Webb, Managing Editor at Radar, interviews John Carnahan who serves as Executive Vice President of Data Science at Ticketmaster.

The Science of Data-Driven Storytelling

The video presentation below captures the highlights of the all-day data-driven storytelling event produced by DataScience, Inc. and the National Science Foundation (NSF)’s West Big Data Innovation Hub.

Scalable Deep Learning Platform On Spark In Baidu

In the presentation below, Weide Zhang is a Senior Architect at Baidu, talks about his team’s work in using Spark to drive deep learning training and prediction using Paddle, the deep learning library developed by Baidu IDL.

Detecting and Mitigating Fraud at Scale

The presentation below by Eric Levine, Engineering Manager at Airbnb shows how Airbnb’s Trust and Safety team has built machine learning infrastructure from the ground up to catch and defuse fraudsters on the platform.