While the component supply crunch remains the headline, this also underscores that AI infrastructure architectures need to adapt.

Most projects benefit from having a data model. This article gives an overview of the most common types. At its heart, data modeling is about understanding how data flows through a system. Just as a ...

The policies and rules surrounding business processes change suddenly and developers may not be available when change occurs. Good software design anticipates change and stores rules in data models ...

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations prepare, manage, and move their data. AI-ready data platforms, vector databases ...

As artificial intelligence (AI) is now a central pillar of enterprise strategy, many organizations are rushing to integrate AI into their analytics and data ecosystems. From predi ...

Databases were traditionally highly specialized data stores that were designed for specific tasks and until recently, they've been getting even more specialized. Recall data warehouses? Somebody once ...

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When it comes to providing reliable, flexible, and efficient object persistence for software systems, today's designers and architects are faced with many choices. From the technological perspective, ...