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9 Ways Artificial Intelligence Can Be Used To Bring IoT, Edge Computing To Life

Tech executives dish on how they're training their AI models for edge computing, the role that data collection plays in IoT strategy, and why having a robust backend is key to supporting it.

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Making Smart Devices Even More Intelligent

Artificial intelligence (AI) can be injected into every stage of the digital lifecycle, regardless of where the computing is taking place or where the data is being collected.

Some of the IT industry's leading AI experts addressed how artificial intelligence should be incorporated into conversations around the Internet of Things and edge computing during a CRN roundtable discussion last month at XChange Solution Provider 2018 in Orlando, Fla.

Technology leaders from Cybereason, Cylance, IBM, SAS and Aruba, a Hewlett Packard Enterprise Company, address how they're training their AI models for edge computing, the role that data collection and real-time action play around IoT strategy, and why having a robust backend is vital to supporting AI on the edge.

Here's a look at how these vendors are applying artificial intelligence to their IoT and edge computing practices.

 
 
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