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Bringing the Power of the Data Center to IoT & Edge AI
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I have been doing my life's best work to date at NVIDIA since 2013 in areas of AI, edge computing, and graphics. Been incredibly fortunate to be a member of NVIDIA executive staff (report to Jensen Huang, NVIDIA Founder & CEO). Easiest way to learn more about what we are doing is to join NVIDIA - we are always looking for exceptional talent.
View the profileI'm an industry analyst, speaker and business advisor at Lopez Research focused on digital transformation. I'm the author of a John Wiley & Sons book called Right-time Experiences and Co-founder of the Emerging Technology Research Council. I help companies understand and navigate digital transformation by analyzing today's most powerful tech trends, including artificial intelligence, mobile, cloud, and IoT. My company offers strategic advisory, speaking and market research services. In the past, I've worked at Motorola, IDC, Shiva Corporation, and Forrester Research. Specialties: public speaking, moderation skills, strategic advice, market research, and market positioning
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Giant industries such as manufacturing, retail, healthcare, transportation and more are harnessing the power of AI to improve their competitiveness, responsiveness and efficiency. The majority of these AI applications are running in the cloud and data center today.
Trillions of devices and sensors used in these industries are continuously generating data, using AI for greater insights. In some cases it’s not practical to send all of the data to the cloud (or core data center) due to high cost, security and latency constraints.
To deliver data center performance at the edge, we need high compute power and
infrastructure that supports low latency and security requirements. In this keynote session, NVIDIA’s VP & GM of Embedded & Edge Computing, Deepu Talla, shares use cases, insights and best practices on the right strategy, platform, tools, and ecosystem needed to make this transformation a reality.
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