These machine learning solutions demonstrate a change of emphasis in enterprise network architecture. Existing network elements sense events and traffic flows, but now report them via APIs to ...

In fact, many of the software challenges organizations face today can be solved by traditional machine learning (ML ... Enhancing network security by analyzing IP addresses and blocking users ...

Instrumenting these systems and then applying machine learning might yield insight that could allow us to do enterprise architecture ... Valley and into more traditional organizations and then ...

According to Goetz, "The way that you imagine, or envision, design, develop, roll out, and then run an AI capability, is not in a traditional ... use machine learning. Data architecture applies ...

Neural networks were inspired by the architecture of the ... Supervised learning of a neural network is done just like any other machine learning: You present the network with groups of training ...