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How OpenVINO Simplifies Deployment Of AI Workloads At The Edge

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Guest: Matthew Formica (LinkedIn)
Company: Intel (Twitter)
Show: To The Point
Keyword: OpenVINO

OpenVINO is an open-source toolkit for optimizing and deploying AI inference onto Intel hardware. Created four years ago, the project was originally developed from a need to do a lot of deep analytics and analysis in factories, retail stores, and hospitals on computer vision data. At the time, there was no solution optimized for Intel hardware so Intel decided to develop its own. Matthew Formica, Senior Director, AI Inference (OpenVINO) Product Marketing & Developer Ecosystem at Intel, discusses the OpenVINO project in this video.

About Matthew Formica: Matthew Formica is Senior Director running Intel’s OpenVINO AI Software Product Marketing organization. AI, especially computer vision related, is increasingly a part of use cases across the spectrum: defect detection on assembly lines, disease detection by medical imaging equipment and shopper help needed alerts in retail stores to name just a few. Getting the best performance and ROI requires the right tools. With OpenVINO™, developers can easily accelerate their inferencing solution performance by several times using the general purpose Intel compute already built into their solutions, and using OpenVINO APIs they can write once and deploy across a wide range of Intel processors.

About Intel: Intel is an industry leader, creating world-changing technology that enables global progress and enriches lives. Inspired by Moore’s Law, we continuously work to advance the design and manufacturing of semiconductors to help address our customers’ greatest challenges. By embedding intelligence in the cloud, network, edge and every kind of computing device, we unleash the potential of data to transform business and society for the better.

The summary of the show is written by Emily Nicholls.

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