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

Tags: AI, AI frameworks, Allyson Klein, analytics, Audio Podcast, BigDL, Caffe, Chip Chat, Cloud Computing, Conversation in the Cloud, Dr. Bob Rogers, Fero Labs, Intel, Intel Xeon, machine learning, Open Source, TensorFlow
 
Posted in: Audio Podcast, Cloud Computing, Intel, Intel Chip Chat