eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Data modeling, at its core, is the process of transforming raw data into meaningful insights. It involves creating representations of a database’s structure and organization. These models are often ...

Data modeling is the procedure of crafting a visual representation of an entire information system or portions of it in order to convey connections between data points and structures. The objective is ...

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

By Abhas Ricky, Chief Strategy Officer at Cloudera Artificial intelligence drives the next wave of enterprise transformation, ...

The following article is an excerpt (Chapter 3) from the book Hands-On Big Data Modeling by James Lee, Tao Wei, and Suresh Kumar Mukhiya published by our friends over at Packt. The article addresses ...

Co-founder and CTO of Docsumo, I am at the forefront of revolutionizing document processing through cutting-edge AI/ML technology. Smart Search and Query: Large language models significantly enhance ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

In a data-driven world, pauses in government economic data do more than inconvenience economists, they create dangerous blind spots for investors and business leaders.