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

When most people hear “observability,” they think of on-call rotations, alerts and dashboards for SREs. That narrow view is ...

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 ...

Autoregressive models predict future values using past data patterns. Discover how these models work and their application in ...

Data modeling tools play an important role in business, representing how data flows through an organization. It’s important for businesses to understand what the best data modeling tools are across ...

How does deploying an aircraft carrier affect the future readiness of the fleet? A new data-modeling tool aims to predict it. (MC3Hannah Kantner/Navy) When it’s time to make a decision about sending a ...

What Is A Hierarchical Models? Hierarchical models, also known as hierarchical statistical models, multilevel models or random-effects models, are tools for analysing data with a nested or grouped ...

To feed the endless appetite of generative artificial intelligence (gen AI) for data, researchers have in recent years increasingly tried to create "synthetic" data, which is similar to the ...

The most important test of a data architecture is not how it performs on day one. It is how it behaves when the business ...