Time Warp and Self-Learning Behavioral Models

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Been working on a very interesting initiative in space of Machine Learning analytics but now trying to get back in groove of things and continue exploring some of the emerging technologies, ask hard question, and see how we (as a community of technologies) see the world evolving as we going through all kinds of transformations that are pushed both by business initiatives as well as technologies.

Let’s begin our conversation on the topic of time warps and self-learning behavioral models.

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The knobs won’t start turning by themselves



Finally, looks like the “knobs war” is coming to its logical conclusion. In the past 5 years there was a huge hit on the knobs, and by knobs I mean APIs (interfaces) that being exposed by different virtulization/cloud platforms. The “hit” was in particular centered around providing a layer on the top (the MASTER knob) that would provide ability to manipulate through a higher level interface (aggregated/federated knob) the knobs underneath.  But with that the announcement of the AWS Management Portal for vCenter it becomes clear that this place is now closed.

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