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New Site Lists all Comparable Features from AWS, Azure, and Google Cloud

Are you shopping for Public Cloud services? A new Public Cloud Services Comparison site gives a service & feature level mapping between the 3 major public clouds: Amazon Web Service, Microsoft Azure & Google Cloud. Published by Ilyas F, a Cloud Solution Architect at Xebia Group, the Public Cloud Services Comparison is a handy reference manual to help anyone to quickly learn the alternate features & services between clouds.

Call for Papers: International Workshop on High-Performance Big Data Computing (HPBDC)

The 3rd annual International Workshop on High-Performance Big Data Computing (HPBDC) has issued its Call for Papers. Featuring a keynote by Prof. Satoshi Matsuoka from Tokyo Institute of Technology, the event takes place May 29, 2017 in Orlando, FL.

Remote Visualization Accelerating Innovation Across Multiple Industries

Remote visualization tools allow employees to dramatically improve productivity by accessing business-critical data and programs regardless of their location. Remote visualization technologies allow users to launch software applications on the server side and display the results locally, letting them leverage the bandwidth and compute power of the cluster while circumventing the latency and security risks of downloading large amounts of data onto their local client.

The Festivus Airing of Grievances from Radio Free HPC

In this podcast, the Radio Free HPC team honors the Festivus tradition of the annual Airing of Grievances. Our random gripes include: the need for a better HPC benchmark suite, the missed opportunity for ARM servers, the skittish battery in the new Macbook Pro, and a lack of an industry standards body for cloud computing.

Artificial Intelligence Becomes More Accessible

With the advent of heterogeneous computing systems that combine both main CPUs and connected processors that can ingest and process tremendous amounts of data and run complex algorithms, artificial intelligence (AI) technologies are beginning to take hold in a variety of industries. Massive datasets can now be used to drive innovation in industries such as autonomous driving systems, controlling power grids and combining data to arrive at a profitable decision, for example. Read how AI can now be used in various industries using the latest hardware and software.

insideBigData Industry Predictions for 2017

In this special guest feature, Daniel Gutierrez from insideBIGDATA offers up his 2017 roundup industry predictions from Big Data thought leaders. “AI, ML, and NLP innovations have really exploded this past year but despite a lot of hype, most of the tangible applications are still based on specialized AI and not general AI. We will continue to see new use-cases of such specialized AI across verticals and key business processes. These use-cases would primarily be focused on the evolutionary process improvement side of the digital transformation.”

HPE IDOL Machine Learning Engine Adds Natural Language Processing

“Building on HPE IDOL’s history of delivering industry-leading analytics engineered for human data, IDOL Natural Language Question Answering is the industry’s first comprehensive approach to delivering enterprise class answers,” said Sean Blanchflower, vice president of engineering, Big Data Platform, Hewlett Packard Enterprise. “Designed to meet the demanding needs of data-driven enterprises, this new, language-independent capability can enhance applications with machine learning powered natural language exchan

Maxeler Dataflow Engine Speeds Compliance Capture and Analytics for Financial Institutions

“As financial institutions acknowledge the importance of data as an asset and as they continue to deploy sophisticated analytics to realize the benefit of that asset, we will begin to see some achieve competitive advantages in this fast-paced marketplace. Of course, these organizations also face continued regulatory scrutiny and disruptive changes to technology that can pose challenges,” said Michael Hay, Vice President and Chief Engineer at Hitachi Data Systems. “Together with our partner Maxeler Technologies, Hitachi Data Systems can help our customers address business demands, stay compliant and transform data into information, insight and opportunities to win.”

Nimbus Data Patents Parallel Memory Architecture

Today Nimbus Data announced the award of a patent for its non-blocking all-flash architecture. Nimbus Data’s Parallel Memory Architecture scales capacity and performance linearly within each ExaFlash system, offering latency and throughput performance up to 6x faster scale-up designs. “Conventional HDD-centric architectures employed by the majority of all-flash array vendors trap flash performance behind legacy shared bus and scale-up designs,” stated Thomas Isakovich, CEO and Founder. “Now patented, Nimbus Data’s Parallel Memory Architecture overcomes the limitations of generic off-the-shelf servers, capturing the full performance potential of all-flash technology.”

Podcast: Deep Learning 101

In this AI Podcast, Host Michael Copeland speaks with NVIDIA’s Will Ramey about the history behind today’s AI boom and the key concepts you need to know to get your head around a technology that’s reshaping the world. “AI has been described as ‘Thor’s Hammer’ and ‘the new electricity.’ But it’s also a bit of a mystery – even to those who know it best. We’ll connect with some of the world’s leading AI experts to explain how it works, how it’s evolving, and how it intersects with every facet of human endeavor.”