Machine Learning and its Role in IoT Analytics

Jane A — Fri, 20 May 2016 09:00:45 +0000

The key to value creation in the Internet of Things is the model. The model is used by both the app and analytics. It quantifies the value proposition, so the better the model, the higher the value. Developing these models in traditional markets is time consuming enough but given the volume, velocity and variety of IoT data, the load on the IoT data scientist can be overwhelming. Enter machine learning or ML for short. Machine learning can augment the skills of the data scientist by helping to select the algorithms or weighted ensemble of algorithms that provide the underlying structure for the model.

Watch this video (or read the transcript) video to see Rob Patterson discuss how machine learning is being used to help create and maintain Internet of Things models

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Tough and Tougher: IoT Security and Privacy

Jane A — Wed, 28 Oct 2015 12:00:33 +0000

Episode 33

The more I dig into it, the more I’m convinced that privacy is a bigger issue than security in IoT. Don’t get me wrong, the challenges facing IoT security are huge and in many cases, unchartered but, we’ll figure them out. Why? Because we’re good at figuring out tech. What’s going to be more challenging is teasing out the rules of engagement from the tangled web of IoT privacy. This involves people, companies, special interests and the law – much more difficult and with huge business implications.

Listen to this podcast (or read the transcript) with privacy philosopher Justin Klein Keane about the challenges we face and some mental frameworks in which to consider them

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Machine Learning and its Role in IoT Analytics

Tough and Tougher: IoT Security and Privacy

Episode 33