At its heart, data modeling is about understanding how data flows through a system. Just as a map can help us understand a city’s layout, data modeling can help us understand the complexities of a ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...

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 ...

Let’s not deny it; we’ve all been captivated by the elegant symmetry of Data Products. If you haven’t encountered them yet, you might be living under a rock. But don’t worry, before we delve into ...

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 ...

Conceptual data models communicate a high-level perspective into the idea of the data under discussion. Because of this high-level nature, conceptual data models often lack much of the detail found in ...

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.

Explore the insights of Andrei Marius Popescu on data modeling and the idea that not every model error is a failure.

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 ...

The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...