A machine learning classification model helps to group data into pre-defined classes. For instance, the model can look at past data to group players into “High-Value,” “Regular,” or “At-Risk” classes.

Anupam Bansal of Liberty Shoes explains how India’s changing retail landscape demands a mix of data analytics and human ...

The AI’s learned behavior shows a clear preference for high-density, mixed-use development, increasing the spatial clustering ...

AI-powered businesses are closing deals faster than ever, while many companies still struggle to qualify leads and rely on ...

As digital-asset activity grows globally, cryptocurrency exchanges and trading platforms face increasing pressure to defend ...

This shift in data analysis enables what can be called a “precision medical affairs” approach. Instead of a one-size-fits-all ...

CRM systems equipped with analytics help companies organize, study, and interpret customer data to understand patterns and ...

Researchers from King's College London have found that molecules in stool samples can accurately reflect what people eat and ...

SLMs are not replacements for large models, but they can be the foundation for a more intelligent architecture.

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

An AI-integrated smart crypto wallet leverages AI to assist users in making better decisions. It can analyze transactions, ...

AI is making medical diagnoses sharper and helping doctors plan treatments that are just right for each person. Hospitals are ...