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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.”

insideBIGDATA Guide to Healthcare & Life Sciences

The insideBIGDATA Guide to Healthcare & Life Sciences is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. The guide provides an overview of the utilization of big data technologies as an emerging discipline in healthcare and life sciences. It explores the characteristics of this business strategy and the benefits of leveraging big data technologies within these sectors. It also touches on the challenges and future directions of big data and analytics in the healthcare and life sciences industries.

Finding and Treating Sufferers of Rare Diseases: Big Data Techniques at Work

In this special guest feature, Dr. Ritu Chadha, IEEE Senior member, Executive Director at Vencore Labs, explains one commercial application of machine learning and information theoretics, among other techniques, to big data to reduce human suffering.

Rescuing Lost History: Using Big Data to Recover Black Women’s Lived Experiences

“A lot of times when people think about big data, they think about it in ahistorical times…outside of this political context,” said Ruby Mendenhall, an associate professor of sociology at UIUC. “It’s really important to think about whose voice is digitized, in journals and newspapers. A lot of that for black women has been lost and you need to make a concerted effort to recover it.” Mendenhall’s study employs Latent Dirichlet allocation (LDA) algorithms and comparative text mining to search 800,000 periodicals in JSTOR (Journal Storage) and HathiTrust from 1746 to 2014 to identify the types of conversations that emerge about Black women’s shared experience over time.

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.

Artificial Intelligence: Shaking Things Up in E-commerce

The infographic below from our friends over at Visenze was inspired by the growing trend on how AI capabilities and applications are attempting to solve real-world issues that e-commerce businesses are facing.

Why Data Management Is An NGO’s Best Friend

In this contributed by Julie Whipple, Global Director of Corporate Social Responsibility at Qlik, examines how visual analytics and BI can help nonprofits.

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.

Envestnet | Yodlee Augments Financial Transaction Data Through a Streamlined DaaS Model

Envestnet | Yodlee, a leading data aggregation and data analytics platform powering dynamic, cloud-based innovation for digital financial services, announced the newest advancement to the Envestnet | Yodlee Financial Data Platform, Transaction Data Enrichment.

Big Data’s Big Impact Coming to Oil and Gas

In this special guest feature, Nav Dhunay, President & CEO at ambyint, presents a high-level view of how Big Data is poised to disrupt the oil & gas industry.