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Volume 30, Issue 3

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Friday, 19 May 2017 16:28

Business Continuity and Machine Learning

According to certain industry analysts and software vendors, we are now midway between a stage 10 years ago when few applications used machine learning, and a stage 10 years into the future when apparently, most applications will function with it.

The Gartner “Hype Cycle” shows machine learning due to become mainstream in software in about four or five years’ time. In that case, business continuity, like any other area of business activity, is likely to be affected. The time to start thinking about it may well be now. But what is machine learning, and how might it influence BC planning and management?

Simply put, machine learning is the capability of systems to construct models from data, without the intervention of human beings. Examples of machine learning today include self-driving vehicles and fraud detection, both of which reflect aspects of business continuity. Machine learning can be done in two ways.