For brands and online publishers, developing and deploying predictive modeling techniques to identify customers at-risk to churn is not rocket science. But it is pretty close. One of the simplest ...

As today’s businesses work to adapt to the new era of AI, one of the big questions is whether to trust this technology to ...

Besides being somewhat of a buzzword in many sectors, artificial intelligence (AI) in drug development shows the potential to ...

Effective AI-driven predictive maintenance begins with comprehensive data collection. Data centers generate vast quantities ...

Open-source AI platform provider H2O.ai believes a blend of generative and predictive AI models makes for more consistent responses which enterprises want from an AI agent. H2O.ai launched its new ...

As you assess progress and analyze results, be prepared to iterate your approach so you can continuously improve your predictive modeling techniques regularly. Using predictive modeling right can ...

Some common techniques for creating predictive forecasted data include regression, event or profile, and classification. Figure 1. Predictive analytics models create a projection of future data, ...

Once knowledge has been obtained from a human expert or extracted through discovery techniques ... are used to create useful applications (models). Data mining models typically classify or predict, so ...