Big data technology changes rapidly, new projects usurp old ones—and that’s what makes it so exciting. Today, we’re going to talk about the trends that drive the big data and cloud convergence, and what’s significant about it.
Within machine learning, there are several techniques you can use to analyze your data. Today I’m going to walk you through some common ones so you have a good foundation for understanding what’s going on in that much-hyped machine learning world.
We’re going to take you behind the scenes and give you a layman’s view of machine learning so you can see what kind of problems they can solve. But this article is designed for technical people who hear the buzzword, who know that it's something important, but don't really know what it is or what it can do.
Call for Speakers now Open: Analytics and Data Summit March 20-22, 2018, at Oracle HQ, Redwood Shores, CA. Deadline for Submissions: Dec. 3rd. Please Help Spread the Word to Customers and Partners! [OK to share this blog link] All Analytics. All Data. No Nonsense. March 20–22, 2018 We’ve changed our name! Formerly called the BIWA Summit with the Spatial and Graph Summit. Same great technical content – great new name! We want to hear your story The call for speakers...
Predictive maintenance and the value that big data and analytics can play in moving from reactive to predictive - the potential use cases include: Connected Car, Utility Suppliers, Research, Manufacturing, Insurance, and the Internet of Things.
Criminals are getting ever-more inventive. In response, companies have declared war against fraud and are using big data analytics as their weapon. By looking for hidden correlations across the immense volume of customer, market and third-party data at their disposal, businesses are beginning to detect suspicious behavior and prevent criminal activity.