Jump Start AI with Intel Xeon, Transfer Learning, and Open Source – Intel Chip Chat – Episode 562

December 7th, 2017 |
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In this Intel Chip Chat audio podcast with Allyson Klein: Dr. Bob Rogers, Chief Data Scientist for Analytics and AI, leads the portion of Intel’s business that helps customers and end users achieve their data analytics goals in this new, data-driven world. To understand where customers are in their analytics journey, Intel uses the analytics maturity curve to help customers appropriately expand their capabilities and infrastructure for what they need to solve. Dr. Rogers shares that most enterprises do not have a lot of data at their fingertips, but most have an AI solution they need now. Dr. Rogers says the good news is many enterprises use Intel Xeon infrastructure, and with that, they can already run their analytics workloads. They can start with transfer learning, a leading methodology to jump start an analytics program. Intel has also invested in optimized software and AI frameworks available through open source, such as BigDL, Intel Optimization of Caffe and TensorFlow, which all run on Intel Xeon.

View the Intel One Minute Misconceptions series which exposes common misconceptions around advanced analytics at:
intel.com/analytics

Learn how Intel and Fero Labs are empowering advanced analytics and machine learning in manufacturing in this solution brief at:
intel.ly/2BBXG9I

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Posted in: Audio Podcast, Cloud Computing, Intel, Intel Chip Chat
 


 


Learn more with Intel IT’s expert on IT Cloud Computing, Das Kamhout on:
Intel.com, LinkedIn, Google+, or follow him on Twitter.