AI & Machine Learning

In the big data world, we have heard about data scientists, but now the industry thought leaders are more

According to McKinsey, a comfortable 20% of marketing budgets can actually be redirected to other necessary expenditure without the

The world has gone digital, and there is a push toward a paperless economy. In addition, companies are making an intelligent

Linear programming is a mathematical problem solving technique widely used in various industries to optimize operations and is widely recognized as one of the core concepts of Operations Research. In this post, Professor Lahiri gives a summary of the technicalities of this method. 

 The importance of predictive analytics in analyzing customer behavior and the potential value of incorporating temporal dynamics into predictive models.

The Problem  If you already own an e-commerce storefront like Amazon.com or Cold Stone Creamery, then you probably recognize

In the big data world, we know the power of the descriptive, prescriptive, and predictive data analytics. Another kind

As consumerism remains a favorite preoccupation in the global community, one of the popular questions that pops up in conversation

When IBM released its Cloud-based Intelligent Operations software suite, it certainly had the increasingly overpopulated cities around the globe

A Google and Shopper Sciences study reported that the average shopper in 2011 used almost twice the number of