Intel Chip Chat

Andrew Mitry, Lead for OpenStack and Public Cloud at Walmart, joins us to discuss Walmart's embrace of OpenStack and open source culture. Walmart, the world's largest private employer, supports more than two million employees, eleven thousand stores, and 250 million weekly customers with a 170,000-core, 30-region OpenStack private cloud. In this interview, Mitry talks about engaging with OpenStack's community, adopting open source culture, and how this is enabling Walmart to develop, deploy, and scale new services more rapidly. For more information on Walmart's work with OpenStack, please visit http://walmartlabs.com and http://techbetter.com and follow Mitry on Twitter at http://twitter.com/amitry.

Michael Draugelis, Chief Data Scientist for Penn Medicine, joins us live from Intel AI Day. Penn Medicine's Penn Signals big data platform harnesses machine learning and a data lake of more than three million patient records to identify potential health issues before they can be detected by traditional means. In this interview, Draugelis discusses why Penn Medicine has a Chief Data Scientist, how Penn Medicine's data scientists and clinicians are working together to improve patient outcomes, and how Intel's Trusted Analytics Platform (TAP) is facilitating collaboration across institutions and data standards. For more information on Draugelis' and Penn Medicine's work in AI, please visit http://www.med.upenn.edu/predictivehealthcare/ and follow Draugelis on Twitter at http://twitter.com/mdraugelis.

Sandra Rivera, Vice President and General Manager for the Network Platforms Group at Intel, joins us to discuss network innovation. Significant network transformation progress occurred in 2016, with many large communications service providers moving away from fixed-function hardware and towards standards-based virtualized infrastructure. Rivera reports on this work and talks about how the Network Platforms Group and Intel® Network Builders program are helping drive innovation to pave the way to 5G. Additionally, Rivera looks ahead to the key priorities for network transformation in 2017. For more information on Rivera's work, please visit https://networkbuilders.intel.com/ and follow her on Twitter at http://twitter.com/SandraLRivera.

Gayle Sheppard, General Manager for Saffron Cognitive Systems at Intel, joins us live from Intel AI Day in San Francisco. Saffron, a leader in natural intelligence computing, produces technologies combining machine learning, deep learning, and emerging techniques to automatically find connections in big, sparse, dynamic data sets. In this interview, Sheppard talks about how Saffron's associative learning technology differs from other AI offerings, how Saffron technology is currently being used in the market, and where Saffron is headed in the future. For more information on Saffron's work, please visit http://saffrontech.com and follow Saffron on Twitter at https://twitter.com/saffrontech.

Dr. Bob Rogers, Chief Data Scientist for Analytics and Artificial Intelligence Solutions at Intel, joins us to discuss shifting the conversation from big data to artificial intelligence. Intel is unleashing the next wave of AI by delivering advances in compute capacity, algorithm sophistication, and data availability. In this interview, Dr. Rogers theorizes that AI will bring forth not a "rise of the machines," but instead a "rise of the humans," as AI continues to augment human capabilities through intelligent systems like Google Search. Dr. Rogers additionally talks about the ways that the data scientists of today and tomorrow can engage with Intel AI to "bring data to the people." For more information on Dr. Rogers' work, please visit http://intel.com/machinelearning, check out his recent IT Peer Network post, "Rise of the Humans: Augmenting Human Capabilities with Artificial Intelligence" (http://intel.ly/2fM4Guw) and follow him on Twitter at http://twitter.com/scientistbob.

Don Hsi, Chairman for Viscovery, joins us live from Intel Developer Forum in San Francisco. Viscovery provides cloud based visual content recognition services with applications including contextual advertising, video search, and illegal content filtering. In this podcast, Hsi discusses how deep learning has enabled Viscovery to advance video content recognition. Hsi notes that where earlier video search engines relied on manually tagged search results, Viscovery takes video search to the next level by analyzing seven major content classes: face, image, text, audio, motion, object, and scene. Additionally, Hsi talks about the suite of technologies that make this analysis possible and how customers are already using Viscovery in the wild. For more information on Viscovery's work, please check out Joe Spisak's recent Intel IT Peer Network post "Delivering Full Stack Video Analytics with Viscovery and Quanta" (http://intel.ly/2dS2O2m) and follow Viscovery on Twitter at https://twitter.com/viscovery.

Hugo Saleh, Director of Marketing and Enabling for Intel's Scalable Datacenter Solutions Group, updates us on recent progress with Intel® Scalable System Framework (Intel® SSF) and Intel® HPC Orchestrator. Saleh reports that Intel® SSF has facilitated significant progress to deliver HPC capabilities to the masses through an ecosystem that included 31 partners at SC 16. Saleh predicts that 2017 will see Intel® SSF further democratizing HPC with turnkey solutions designed for specific workloads. Saleh additionally shares news about Intel® HPC Orchestrator, a modular, integrated, and validated software stack made available to Intel's partners in October. For more information on Saleh's work, please visit http://intel.com/ssf and follow him on Twitter at http://twitter.com/hugo_saleh.

Dr. Figen Ulgen, General Manager, High Performance Computing Platform Software & Cloud at Intel, joins us to discuss artificial intelligence workloads that are emerging as a result of greater access to high performance computing. Noting that "wherever there is computational complexity, HPC can help," Dr. Ulgen talks about the ways that technologies like voice recognition and natural language processing are growing more sophisticated as compute power increases. Dr. Ulgen additionally highlights Intel's work with the OpenHPC based Intel® HPC Orchestrator, which promises to be an important step forward in making HPC more accessible to a broader array of customers. To learn more about Intel® HPC Orchestrator, please visit http://intel.com/hpcorchestrator.

Doug Fisher, Senior VP and GM of the Software and Services Group at Intel, joins us to discuss Intel's work to accelerate innovation in artificial intelligence. In this interview, Fisher talks about Intel's upstream investments in academia and open source communities. Fisher highlights efforts including the launch of the Intel® Nervana™ AI Academy aimed at developers, data scientists, academia, and startups that will broaden participation in AI. Additionally, Fisher reports on Intel's engagements with open source ecosystems to optimize the performance of the most-used AI frameworks on Intel architecture. For more information on Intel's work in AI, please visit https://software.intel.com/ai and follow Doug on Twitter at http://twitter.com/dougwfisher.

Dr. Michael Voss, Software Architect at Intel, and Robert Geva, Senior Principal Engineer and Compiler Writer at Intel, join us to discuss parallel computing with Intel® Threading Building Blocks (Intel® TBB). Intel® TBB is a C++ library that enables developers to add parallelism to their applications without closely managing threading details. In this interview, Voss and Geva assess the software industry's current use of parallelism, highlight Intel® TBB's ability to optimize parallelized applications for current and future architectures, and report on benefits customers in industries like visual effects, financial services, and healthcare have already realized with Intel® TBB. For more information on Intel® TBB, please visit https://www.threadingbuildingblocks.org/.