A 2020 report by Frost & Sullivan stated that 90% of industrial enterprises will be utilising edge computing by 2022. The value of the data that can be gleaned from intelligence ‘in the field’ is clear, but the current limitations of low power, on-device compute, data management and processing across the edge computing landscape continue to pose multiple engineering challenges.
We’re thrilled to announce the agenda for the 3rd annual Edge AI Summit, which was the first ever dedicated summit focused on deploying machine learning on devices, and on the network infrastructure that supports the intelligent IoT. This year is all about Edge AI case studies!
From ultra-low-power microwatt applications at the ‘sensor edge’, to larger milliwatt examples at the ‘device edge’ up to the non-power constrained ‘server-network edge’; we’ll be gathering a global audience (virtually!) to explore the most innovative real-world use cases of hardware and software facilitating AI at the Edge with examples from Uber AI, Google, Bosch, Magic Leap, Rakuten and many more…
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