Semantics Drives Machine Self Dependency







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Complexity is driving the high cost and time-intensive nature of machine management.

However, this challenge can be met with automated M2M intelligence which leverages a standardized semantic web communication format.

This universal language is being applied to provide a more 'machine readable' format for Machine-To-Machine Intelligence.

Consequently, it is taming Complex Adaptive Systems such as Grid, Internet Multimedia Systems (4G IMS), Financial Services (Risk), and The DoDís Global Information Grid.

We interview Geoff Brown to gain m2mi's perspective on Machine Self Dependency.

Geoff is the CEO of m2mi.

Click here to get more information from m2mi.

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