Artificial intelligence (AI) processing rests on the use of vectorised data. In other words, AI turns real-world information into data that can be used to gain insight, searched for and manipulated.

As organizations scale their AI and analytics efforts, a data architecture that is “up to snuff” is even more critical to business success. Data teams are being asked to deliver faster insights, ...

Digital infrastructure is rapidly evolving daily, the volume and complexity of operational data continue to surge and organizations face unprecedented challenges in managing their data. When a website ...

Lorenzo-Eiroa, Pablo "Digital Signifiers in an Architecture of Information: From Big Data and Simulation to Artificial Intelligence", Routledge, London 2023 This book proposes a new critical ...

A headless data architecture means no longer having to coordinate multiple copies of data and being free to use whatever processing or query engine is most suitable for the job. Here’s how it works.