Data science features a blend of Bayesian statistics, predictive modeling, time-series analysis, clustering algorithms, and regression modeling to solve analytically advanced pains.

We explore the thorough impact of an expert from the industry who is working in fraud detection, anti-money laundering, and marketing analytics, paving the way for a safer and more resilient ...

Data science is responsible for mapping social networks and illustrating customer personas. It also identifies demographics and locations, in addition to tracking target audience responses and moods.

Predictive analytics is the next level of using that data for marketing success. Predictive analytics is the use of data, statistical algorithms and AI techniques to identify possible future outcomes.

The release of iOS 14 may have been a step towards greater consumer privacy protection, but it is not the end of target marketing.

The retailer turned to data science to help improve on-shelf availability, reduce inventory levels and create operating efficiencies.

Data is becoming more and more important to the online advertising game. Soon, the ability to use data and algorithms will be a basic requirement in online advertising.

The algorithms that underlie modern artificial-intelligence (AI) systems need lots of data on which to train. Much of that data comes from the open web which, unfortunately, makes the AIs ...

The age of big data is frightening to a lot of people, in part because of the implicit promise that algorithms, sufficiently supplied with data, are ...