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Cities, agricultural lands, remote environments (e.g., streams), and buildings are all examples of environments where IoT technology is transforming them into smart connected spaces. The main aspect they share is the large geographical areas they span. Additionally, these environments may also present challenges like limited wireless connectivity, installations in remote or difficult locations, and harsh operating conditions.
IoT and edge-cloud deployments can open up new possibilities to facilitate new business models and unlock societal benefits that serve the greater good. Rural environments in particular, are in need of a digital transformation that IoT and edge solutions can provide, but come with a number of challenges.
What advantage do you have that developers at Adobe, Cisco, Citrix, Microsoft, and Sophos didn’t have when they were porting their apps to native Arm on Windows?
You can get a lot of innovation out of running machine learning inference on mobile devices, but what if you could also train your models on mobile devices? What would you invent if you could fine-tune your models at the network edge?
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