In the simplest terms, a logical data model is a visual representation of the business rules and requirements covering the universe-of-discourse for a given solution or enterprise, along with some ...

Occasionally one may hear that a data model is “over-normalized,” but just what does that mean? Normalization is intended to analyze the functional dependencies across a set of data. The goal is to ...

Enterprise software is moving beyond data collection toward decision intelligence. Cloud platforms, APIs, and analytics ...

How will the Model Context Protocol shape AI development? Learn how MCP standardizes data access, enhances context awareness, ...

As AI moves from hype to measurable results, one truth is becoming clear: Enterprise AI needs business context to be fully trusted.

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...