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, ...

Empromptu's Alchemy Models turns enterprise AI application outputs into a fine-tuning pipeline, letting companies own custom ...

As open-weight models catch up on leaderboards and benchmark reports, one of the biggest considerations is how to manage AI ...

As more organizations embrace big data and analytics to gain insight from extremely large datasets, the tools and systems used to manage data have grown, changed, and mul­tiplied. Instead of just ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Effective data modeling enables value creation, efficiency gains, risk reduction, and strategic alignment in an environment of uncertainty and disruption. At Data Summit 2026, Pascal ...

New work explaining the inner workings of artificial intelligence could provide a way around the threat of AI "model collapse," potentially averting growing numbers of AI hallucinations in the future.

The quest for more training data has created a glut of low-quality junk data that could derail the promise of physical AI.

Data modeling best practices help define a formal process that gives structure and direction to an organization’s data. Read more about data modeling now. Data modeling, at its core, is the process of ...

Identify which data modeling tools are right for your business. Discover the top tools of 2022 now. Data modeling tools play an important role in business, representing how data flows through an ...

A Covid-19 restrictions sign hangs outside a supermarket in Austin, Texas. Lauren Ancel Meyers at the University of Texas at Austin has shared her team’s modeling results with city officials who make ...