Global Bigdata Conference

And for businesses that want to invest in analyzing this data where traditional statistics don't fit, there is a huge opportunity–one that is feeding a new wealth of startups and new initiatives from established analytics companies who seem to be getting the message that calling a product "machine learning" even if it's just a slightly upped version of analytics, is the rage. That causes a problem of definition, and there are, without naming names, some serious examples of analytics and BI companies taking the same old software and slapping a "machine learning" label on it simply because it sounds more robust or complex than data analytics. This is one of the growing pains for any new technology area, especially when the hype machine revs its mighty engines. Hall says users need to understand their data and problem and once that happens, it will be clear whether or not a standard statistics and database solution will suit versus something more versatile (and likely complex).