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Faster time-to-production for computer vision AI on Arm powered edge devices, but just how fast is fast?
Davis Sawyer: Cofounder and Chief Product Officer
Charles Marsh: Chief Commercial Officer

When it comes to the deployment of AI applications, it's never as easy as it seems. Particularly when it comes to embarking on a full-fledged MLOps pipeline to train, optimize and deploy complex deep neural networks on constrained hardware. In this Tech Talk, Deeplite will provide insights on its ground-breaking software approach to successfully deploy computer vision AI (classification, detection models) on Arm Cortex-A CPUs and how they produced efficiencies for the Arm Ethos-U55 microNPU and Cortex-M55 CPU. Plus all the fun challenges along the way!

This talk is part of the bi-weekly AI Virtual Tech Talk Series: https://developer.arm.com/solutions/machine-learning-on-arm/ai-virtual-tech-talks

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Feb 8, 2022 04:00 PM in London

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Davis Sawyer
Cofounder and Chief Product Officer @Deeplite
Davis is a Canadian tech entrepreneur with interdisciplinary start-up & AI industry experience. Recognized as a C2 Montreal Emerging Entrepreneur and a Fundica Roadshow Finalist in 2018, he drives product direction and commercialization strategy. Davis is responsible for managing the current software release and delivery of Deeplite's roadmap, which includes gathering customer input on key requirements and features.
Charles Marsh
Chief Commercial Officer @Deeplite
Charles is a seasoned business leader, specializing in market growth acceleration for high-tech companies and has enjoyed great success at start-up companies in Montreal, with two successful exits at OZ Communications Inc. and Mnubo Inc. As Chief Commercial Officer, Charles is driving Deeplite’s go-to-market strategy to establish long-term customer relationships and deliver value via Deeplite’s ground-breaking software.