AI has been reshaping how operations-heavy companies think about data infrastructure, and it could fundamentally reshape ...

Enterprise data systems now sit beside ranking, inference and decision pipelines that influence what users see, interact with ...

As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

Modern CX depends less on where data lives and more on how signals, AI, and governance come together at decision time.

Right now, AI technologies are not just enhancing existing technology portfolios-they are reshaping how organizations think ...

Digital transformation. Infrastructure modernization. Global data center demands. All these forces and more are driving enterprises around the world to seek out next generation cloud-based ...

There are many ways to describe a database: the role it plays in a distributed architecture, the various internal components that make it work, and the various levels that define specific roles and ...

An open, services-oriented approach has clear advantages for building modular and scalable applications. We should take the same approach to our data. Data analytics solutions are continuing to emerge ...

Architecting modern applications is a tough job, and architecting a solid data model for modern applications is one of the toughest, yet most important, parts of a modern application architecture.