The objective is to determine whether a given data point fits an existing pattern or if it is an outlier or anomaly, and as a result find what fits with existing data and what doesn’t.

Sumo Logic's answer combines machine learning and pattern recognition to detect anomalous events in your data. Organizations ... you can perform a search to find it. “CIOs don’t care about ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...

Microsoft went a step further in Excel 2013 and created Flash Fill. This new feature recognizes patterns in your data and will finish tedious tasks for you. Produced by Sara Silverstein Follow BI ...

Predictive analytics is the process of using data to find patterns, trends and relationships. The purpose of predictive analytics is to solve a problem by using data to deepen our understanding and ...

A KAUST team is taking a creative, combined deep learning approach that uses data from multiple sources to teach algorithms how to find patterns between genes and diseases. Machine learning uses ...

Learn More Boulder, Colorado-based Unsupervised, a big data analytics company leveraging AI to find patterns in business data, today announced that it raised $35 million in a series B round led by ...