Webinar
Retail Edge Computing 101: An Introduction to the Edge for Retail
The convergence of AI, IoT, and edge computing is revolutionizing the retail computing landscape. But how are leading retailers using edge computing to improve customer experiences and operational efficiency? What are some of the existing solutions designed for retail and how would they integrate with your current infrastructure? And which solutions should you deploy at the edge versus in the cloud?
Tune into the Retail Edge Computing 101 webinar to get a full introduction into everything you wanted to know about the edge from the leader in AI and accelerated computing. Come with questions, we’ll come with experts.
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Cynthia brings over 25 years of experience across marketing and product management, ecommerce, operations and development for both global and startup technology firms. Prior to NVIDIA, Cynthia led both product and marketing for MomentFeed, a leading mobile consumer engaged platform. US. She has served as an executive and product leader for several Silicon Valley firms, including Movoto Real Estate, the 2nd largest online brokerage in the US; HireMojo,a SaaS Hiring Automation solution for SMB market; Sawyer Media Systems and MarketFirst Software, Inc., a founder of the Marketing Automation space. Prior to MarketFirst, Cynthia led marketing technology and IT groups for industry leaders like Autodesk and Silicon Graphics. Cynthia received her BS in Industrial Automation from Carnegie Mellon University and her Masters degree focusing on Marketing and Information Technology from CMU’s Tepper School of Business.
Amanda Saunders leads product marketing for edge AI in the Edge and Enterprise Computing Solutions Group at NVIDIA. She brings to life edge computing solutions that bring intelligence to hospitals, stores, warehouses, factories and more. Amanda has additionally held sales and marketing roles at NVIDIA working with AI, data science, virtual GPU and many different industries.
Ward Eldred is a Solution Architect Manager with a team responsible for supporting the Retail Vertical by assisting customers in leveraging NVIDIA technologies to solve complex business problems. In addition, Ward also instructs courses as part of NVIDIA’s Deep Learning Institute which focuses on teaching students the fundamentals of Deep Learning through seminars and labs. Prior to joining NVIDIA, Ward spent 20 years at Sun Microsystems as a Systems Engineer architecting HA and Cluster solutions.
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Date & Time: Wednesday, April 22, 2018