Machine Learning in Analytics: Grasping its Disruptive Force

Machine learning as part of the analytics portfolio has hit the topical chatter list in a major way. It has also become a focus for start ups, PE and VC investments, and the object of a growing number of acquisitions. Suppliers of all types are rushing to show off their credentials.

As part of the predictive analytics ecosystem, its rise to prominence is driven by the recognition that better, faster insight into data is necessary to optimise a host of business operations from customer engagement and supply chain optimisation, through to risk management. It is increasingly viewed as a way to gain a competitive edge as businesses become more digital and more data driven. We view it as an approach that can have an impact on the bottom line for most organisaitons. 

This is Part One in a series of research notes exploring machine learning. 

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