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Image created using AI under the prompt: A futuristic architectural landscape exemplifying data-driven architecture. Image via DALL.E 2 Although cultural, social, and even religious factors can ...

Forbes contributors publish independent expert analyses and insights. Kathleen Walch covers AI, ML, and big data best practices. Jun 04, 2025, 03:32am EDT AI is helping reshape how buildings are ...

Becoming truly data-driven requires more than adopting new tools—it demands clear alignment between business goals and data architecture. The annual Data Summit conference returned to Boston, May 6-7, ...

It’s time to rethink data architecture. The architectures that have been built over the years were suitable for on-premise, legacy environments but tended to be static, inflexible, and accessible to ...

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...

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.

Transforming an initial idea into a concept design is a complex process. It requires understanding project requirements like context, program, budget, and functionality and rapidly iterating—usually ...

When it comes to business information, chief information officers (CIOs) and chief data officers (CDOs) are tasked with bringing order to chaos. As firms gather ever more data, they face both ...