Themes

Although the financial services, telecommunication, and retail industries have been investing in Big Data analytics (BDA) for a while, adoption by utilities is still at a relatively early stage—partly because of their predominantly cautious mentality.

This analysis chooses the somewhat provocative thesis: "Big Data Analytics and Lean Six Sigma – A Marriage Made in Heaven?" It explores the validity of this thesis through five main sections. First, it starts with a brief introduction to the key aspects of Lean Six Sigma (LSS).

Globally, the situation is similar. In 2014, the European Central Bank (ECB) published a report that highlighted fraud trends: €1 in every €2.635 spent on credit and debit cards was lost to fraud. According to a recent report from Barclays, the United States contributes disproportionately to global credit card fraud, accounting for more than 47...

Artificial intelligence (AI) is the new buzzword both in labs and in public. Advancements in deep learning and neural networks are improving computers' ability to perform difficult machine intelligence problems such as vision, language, and movement.

IBM announced on 15 June 2015 that it would invest in and support the development of the Apache Spark open-source Big Data processing framework.

Large volumes of unstructured and structured data from a variety of sources contain valuable insights about customer behavior, which has the ability to contribute to the growth of retail businesses. There is tremendous growth potential in European market, which is a mix of growing and nascent market. This report will introduce the big data opportun...