The Big Problems of Big Data
June 30, 2017
Companies are producing volumes of data. However, no fully functional system is able to provide actionable insights to decision makers in real time. Bayesian methods might pave the way to the solution seekers.
In an article published by PHYS and titled Advances in Bayesian Methods for Big Data, the author says:
Bayesian methods provide a principled theory for combining prior knowledge and uncertain evidence to make sophisticated inference of hidden factors and predictions.
Though the methods of data collection have improved, analyzing and presenting actionable insights in real time is still a big problem for Big Data adopters. Human intervention is required at almost every step which defies the entire purpose of an intelligent system. Hopefully, Bayesian methods can resolve these issues. Experts have been reluctant to adopt Bayesian methods owing to the fact that they are slow and are not scalable. However, with recent advancements in machine learning, the method might work.
Vishal Ingole, June 30, 2017
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