As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

For financial institutions, threat modeling must shift away from diagrams focused purely on code to a life cycle view ...

Count data modelling occupies a central role in statistical applications across diverse disciplines including epidemiology, econometrics and engineering. Traditionally, the Poisson distribution has ...

Most enterprise data lives outside databases. Here's why that's holding AI back — and how connecting context can change it.

Learn how this new standard connects AI to your data, enhances Web3 decision-making, and enables modular AI systems.

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

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 ...

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 ...

If your are wondering how to handle large datasets and complex calculations in your spreadsheets. This is where MS Excel PowerPivot comes into play. PowerPivot is an advanced feature in Excel that ...