Sukender Reddy Mallreddy, a Salesforce Consultant and data science expert, explains these concepts in his new book, "Real-Time Data Structures: Innovations for Machine Learning with Streaming Data." ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

A crucial part of the machine learning lifecycle is managing data drift to ensure the model remains effective and continues to provide business value. Data is an ever-changing landscape, after all.

The Big Data Analytics, Artificial Intelligence and Machine Learning research cluster tackles important problems and develops real-life applications, harnessing technologies to extract insights and ...

Differential privacy is a method for protecting people’s privacy when their data is included in large datasets. Because differential privacy limits how much the machine learning model can depend ...

The potential for machine learning to transform data-intensive businesses is undeniable, but realizing this potential requires more than just an investment in technology.