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Interview: Jennifer Marsman, Principal Software Development Engineer at Microsoft

In this podcast interview, I caught up with Jennifer Marsman, Principal Software Development Engineer at Microsoft, to find out what it’s like to be a data scientist at Microsoft and get her take on the upward trajectory of AI and deep learning that we’re seeing in the industry today.

Interview: Dr. Danielle Dean, Senior Data Scientist Lead at Microsoft

In this podcast interview, I caught up with Dr. Danielle Dean, Senior Data Scientist Lead at Microsoft in the Algorithms and Data Science Group within the Cloud and Enterprise Division, to find out about her experience at Microsoft and get her take on the upward trajectory of AI and deep learning that we’re seeing in the industry today.

Interview: Anusua Trivedi, Data Scientist on Microsoft’s Advanced Data Science & Strategic Initiatives Team

In this podcast interview, I caught up with Anusua Trivedi, a Data Scientist on Microsoft’s ADS team, to get her take on the upward trajectory of AI and deep learning that we’re seeing in the industry today.

Slidecast: Announcing the Nvidia Deep Learning SDK

In this slidecast, Marc Hamilton from Nvidia describes the latest updates to the company’s Deep Learning Platform. “Great hardware needs great software. To help data scientists and developers make the most of the vast opportunities in deep learning, we’re announcing today at the International Supercomputing show, ISC16, a trio of new capabilities for our deep learning software platform. The three — NVIDIA DIGITS 4, CUDA Deep Neural Network Library (cuDNN) 5.1 and the new GPU Inference Engine (GIE) — are powerful tools that make it even easier to create solutions on our platform.”

The Hadooponomics Podcast Series

The Hadooponomics Podcast series is a creation of Blue Hill Research and hosted by James Haight, a principal analyst at the company. The mission of the Hadooponomics Podcast series is simple: to advance the Big Data conversation beyond its traditional buzz-heavy roots, and to take a look at the real story of what drives the value of Big Data.

Podcast: New Xeons Power Cisco UCS Realtime Analytics

Jim McHugh from Cisco describes how the new Intel Xeon processor E7 v3 processor family will bring to Cisco UCS systems in the big data and analytics arena. He emphasizes how new insights driven by big-data can help businesses become intelligence-driven to create a perpetual and renewable competitive edge within their field.

GridGain Webinar: Hyperscaling Your SaaS Infrastructure

Software as a Service (SaaS) is a software distribution model in which applications are hosted by a vendor or service provider and made available to customers over the Internet. Instead of companies installing software on their own servers, known as the on premises distribution model, application software providers host the software in the cloud and […]

Slidecast: Fortissimo Foundation – A Clustered, Pervasive, Global Direct-remote I/O Access System

“Fortissimo Foundation is a clustered, pervasive, global direct-remote I/O access system that linearly scales I/O bandwidth, memory, Flash and hard disk storage capacity and server performance to provide an “in-memory” scale-out solution that intelligently aggregates all resources of a data center cluster into a massive global name space, bridging all remote compute and storage resources to look and act as if they were local.”

Celebrity Photo Hack Shows Need for End-to-End Data Security

How safe is your Big Data repository? In this podcast, the Radio Free HPC team discusses the recent iCloud theft of celebrity photos. Henry thinks this is simply the data breach of the week and that the real issue is the need for two-factor authentication and end-to-end security.

Slidecast: IBM Fellows Tackle Grand Challenges of Big Data

“A common thread for many of this year new IBM Fellows is their commitment to developing solutions and practical applications in the field of Big Data and Analytics. IBM is a leader in the space – with 1500 Big Data and Analytics-related patents in 2013 alone, and $24 billion in investments since 2005 through both acquisitions and R&D – and these fellows maintain the drumbeat of momentum that has made IBM number one in Big Data market share for the second year running.”