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OPLIN 4cast #464: Genius networks

Posted in 4cast

Last updated on November 19, 2015

Artificial Intelligence (AI)When we think about Artificial Intelligence (AI), many of us probably picture a robot that thinks and acts like a human. Some of us picture frightening robots. But what if an AI is something you can’t even picture at all? That’s the case with one possible scenario that is getting some discussion lately: an artificially intelligent Internet. Some people feel this is a very likely scenario, and a beneficial use of AI as the network becomes even bigger and more complex.

  • The future of networking is Watson (Network Computing | Patrick Hubbard)  “AI-defined networks won’t be about automating routine tasks, programmatically managing networks or providing a platform where humans create evermore clever access policies. Instead, we’ll become teachers to machines that watch our network traffic, monitor our applications and cognitively recognize novel behavior on our firewalls. Many, like financial services CIOs, will be incredibly resistant to handing over security to ‘a machine,’ but we won’t have a choice. Increasing complexity of highly converged and hybrid infrastructures is creating more, not less security risk.”
  • Andy Rubin: AI is the future of computing, mobility (InformationWeek | Eric Zeman)  “More specifically, [Google’s Andy] Rubin believes Internet-connected devices (smartphones, tablets, thermostats, smoke detectors, and cars, for example) will create massive amounts of data that will be analyzed by deep-learning technologies. This process will be the foundation of the first artificial intelligence networks. They will be able to tell people, for instance, what their thermostat is set to, when it’s time to hit the gym, and whether or not your pool has too much chlorine.”
  • SkyNet = AI + SDN? Dave Meyer shares his view of the role of AI in networking (SDX Central | Art Fewell)  “When you think about how your intelligence works, you’ve got all these sensors; eyes, ears, tactile, etc. What that’s doing is throwing a big stream of data at your neocortex which is then building statistical models that allow you to understand the world around you. The network is doing the same thing. Part of what makes this possible is the way the network was built.”
  • The impact of IBM’s Watson on network management (Entuity | Jay Maiellano)  “Imagine a network with devices that could think for themselves? If every switch, router, or server could direct data flow to its top efficiency on its own, would we even need configuration? What if devices could sense problems in a network and adjust to them automatically, or even further, fix it on its own? The potential for AI in a network is endless.”

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