Webinar: How to approach machine learning on the edge for effective intelligent products
What are the key advantages of running machine learning algorithms directly on edge devices?
Data upload, processing and cloud storage can become extremely costly as well as being dependent on a reliable internet connection. However, sensor data can be processed locally intelligent IoT edge devices, reducing the data burden while capturing events of interest. So, what are the key advantages of running machine learning algorithms directly on edge devices? And what are the best approaches to designing these IoT systems?
In this webinar, Tom Kruczynski, Sector Manager, Pradipto Biswas, Data Science & Insights Lead and Ross Jones, Science & Technology Team Leader, explore how choosing the right analytics techniques, architecting flexible solutions and futureproofing hardware can reduce operational costs and enable companies to launch and sustain effective and efficient intelligent products.
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