What do Google driverless cars and Stanford University autonomous helicopters have in common?

Both rely on machine learning technology to make sense of complex environments, while ensuring good decisions are made sooner.  Machine learning’s ability to make good decisions faster in complex environments also can be applied to solve challenges in IT operations.

In today’s dynamic IT environments driven by virtualization, mobility, and cloud, application and infrastructure issues are popping up constantly. When an issue affecting service unfolds, there can be multiple underlying root causes that are simultaneously cascading across technology domains – apps, servers, storage, networks and, increasingly, private to public cloud hybrids.

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