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 ...

Pathlock's Chris Radkowski maps how 2026 brings a new focus on data sovereignty, with governments requiring that citizen data ...

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.

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, ...

Preparing for the inevitable implementation of AI, and whatever its future iterations may be, requires a look at architectural patterns. From cloud data warehouses and real-time analytics to data ...

Data pipelines are essential for connecting data across systems and platforms. Here's a deep dive into how data pipelines are implemented, what they're used for, and how they're evolving with genAI. A ...

Embracing modern architecture is now a necessity for staying competitive and innovative. Automation of high-quality data is at the forefront of modern data architecture, with security and flexibility ...

I've spent considerable time analyzing what separates winning financial institutions from the pack, and the answer is uncomfortable for many: most banks are still operating fragmented, siloed data ...