In this podcast interview, we caught up with Matt Winkler, Group Program Manager for Machine Learning at Microsoft, to get his take on the upward trajectory of data science, machine learning and the cloud – specifically Azure. Matt leads a team crafting tools and services to enable data scientists and developers to do more with their data. Originally from St. Louis, Matt has been at Microsoft for 11 years working on developer tools and cloud services such as the .NET Framework, Visual Studio, Azure Websites, Data Lake and HDInsight.
Interview: Jennifer Marsman, Principal Software Development Engineer at Microsoft
May 10, 2017 by
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
May 4, 2017 by
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
April 13, 2017 by
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
June 27, 2016 by
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
April 7, 2016 by
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
May 5, 2015 by
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
March 26, 2015 by
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
September 16, 2014 by
“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
September 9, 2014 by
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.
