IoT in AI, Computer Vision, and Simulation | NVIDIA's Adam Scraba | Internet of Things Podcast
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Adam Scraba, Director of Product Marketing at NVIDIA, joins Ryan Chacon on the IoT For All Podcast to discuss IoT in AI, computer vision, and simulation. They talk about the growth of IoT, vision AI and digital twins, how AI and IoT are creating value, the challenges of IoT adoption, the importance of domain knowledge for success, and cameras as IoT sensors.

Check out KORE Wireless Super SIM: https://bit.ly/44wrLEF)

Adam Scraba is Director of Product Marketing and drives worldwide evangelism and marketing for NVIDIA's accelerated computing platform in applying artificial intelligence and deep learning to video analysis to solve critical problems across a range of industries.

Prior to this, he was responsible for leading NVIDIA's business development and strategic alliances applying artificial intelligence and deep learning to video analysis for smart city initiatives worldwide. Throughout his career, he has worked with Fortune 500 companies, startups, and governments.

NVIDIA is the pioneer of GPU-accelerated computing. The company’s invention of the GPU in 1999 redefined computer graphics and gaming, ignited the era of modern AI, and is fueling the creation of the industrial Metaverse - with the GPU acting as the brains of robots, autonomous machines, and self-driving vehicles that can perceive and understand the world around them.

Discover more about AI and IoT at https://www.iotforall.com) More about NVIDIA: https://www.nvidia.com/en-us/) More about NVIDIA Metropolis: https://www.nvidia.com/en-us/autonomous-machines/intelligent-video-analytics-platform/) Connect with Adam: https://www.linkedin.com/in/adamscraba/) Our sponsor: https://www.korewireless.com/)

Key Questions and Topics from this Episode: (00:00) Sponsor (00:37) Intro (00:45) Adam Scraba and NVIDIA (01:34) What has the growth of IoT enabled? (03:32) Definition of vision AI and computer vision (06:00) How are IoT and AI technologies creating value? (08:02) Challenges of IoT adoption (11:20) Importance of domain knowledge for success (12:54) Digital twins and simulation (17:00) Cameras as IoT sensors (20:12) Learn more and follow up

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