BigDataFr recommends: Three Big Data Developments No One is Talking About

[…] We’ve recently seen data science shift markedly from a peripheral capability to a core function, with larger teams tackling increasingly complex analytics problems. We’ve watched rapid advances in data science platforms and their big implications for data and analytics teams. But what surprises are in store in the realm of data, analytics and machine learning going forward?

What new developments in data science will we be talking about in a year? Here are our three predictions:

1. Big data’s diminishing returns: De-emphasizing the size of the data.

We are increasingly seeing that bigger data is often not better. Companies are realizing that extracting more data may not help them address certain problems more effectively. […]

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By Nick Elprin (Domino Data Lab) and Philip Levinson (EdCast)
Source: informationweek.com