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Delivering AI-Powered Insights from Data Center to Field with NVIDIA DGX Systems

Watch the webinar replay for a special look at how Avitas Systems, a GE Venture, turned to NVIDIA DGX Systems to enable advanced robotic inspection and automated defect recognition services for across the oil and gas, transportation, and energy industries.

By watching you’ll learn:
  1. NVIDIA DGX Systems are enabling a new GE business model for ‘inspection as a service’ extending the reach of AI to some of the most remote locations on Earth
  2. GE Venture’s Avitas Systems leverages advanced AI algorithms and technology to deliver differentiated inspection services for industrial industries, including drones for aerial inspection, robotic crawlers for ground inspection, and autonomous underwater vehicles (AUV) for subsea inspection
  3. NVIDIA DGX Systems give a time-to-market, performance, and AI in-the-field advantage that meets the needs of Avitas Systems and its customers
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Presented By
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Tony Paikeday
Director of Product Marketing, AI and Deep Learning, NVIDIA

Tony Paikeday is the Director of Product Marketing for the NVIDIA DGX Family. Tony was previously with VMware, managing product marketing for the Horizon 7 portfolio and focused on key enabling technologies, including GPU virtualization and software-defined data center. Prior to joining VMware, Tony was at Cisco, building its data center solutions marketing practice focused on desktop and application virtualization. Prior to Cisco, he spent 12 years at Nortel selling into enterprise and service provider accounts, after having started his career as a Manufacturing Engineer for Ford Motor Company. Tony holds an engineering degree from the University of Toronto.
 
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Ser Nam Lim
Director of Advanced Analytics & Machine Learning, Avitas Systems, a GE Venture

Ser Nam Lim is the Director of Advanced Analytics & Machine Learning at Avitas Systems, a GE Venture. He leads a team of data scientists developing state of the art in descriptive, prescriptive and predictive analytics, which are utilized to automatically track and provide actionable analysis that determines the conditions of industrial assets. Ser Nam earned his PhD from the University of Maryland, College Park, in 2006, for which he had focused on multiple areas of computer vision and machine learning.
 
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