Semantics Drives Machine Self Dependency

 

 

 

 

 

 

35 Minutes Click Here to Play MP3 Audio (Download MP3 - Right Click, Save Target As)

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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