Applying Bayes Theorem to a Big Data World

Bayes Theorem One of the challenges in analyzing Big Data is its volume—there is just so much of it. Then mix in high velocity, or fast data, and standard analytical methodologies to make sense of its breakdown, and it becomes even more cumbersome and ineffective. Machine-learning techniques that self-adjust and improve over time are a more cost-effective approach than a

Welcome to the Open Analytics Era

The explosion in enterprise data is paving the way for expanding analytics strategies in business applications. The embedded analytics market is estimated to nearly double to 46 billion between 2016 and 2021, according to Markets and Markets. The same research firm also estimates the advanced analytics market will be worth close to 30 billion by 2019. Demand for ‘open analytics’