In an era where data is a strategic asset, organizations often falter not because they lack data—but because their ...

Architecture is a profession that stands between art and science. Building aesthetics is valued for its role in enhancing the ...

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 ...

Data centres, logistics buildings, renewable energy and transport infrastructure are presenting emerging opportunities for ...

Design thinking is critical for developing data-driven business tools that surpass end-user expectations. Here's how to apply the five stages of design thinking in your data science projects.

In the last decades, and not always by choice, architects have been moving slowly behind technological advances, timidly embracing them rather on the fly. Computer-aided design, better known as ...

Datadog created a dedicated data ingestion architecture offering exactly-once semantics for their third-generation event store, Husky. The event-driven architecture (EDA) can accommodate bursts in tra ...

Data Mesh was a paradigm shift, with teams aligned around the ownership of data products. This fits the idea of data-driven architecture, as well as incorporating Conway’s Law into the overall ...

Harnessing the potential of data through AI is essential in today’s business environment. A McKinsey report says data-driven organizations demonstrate EBITDA increases of up to 25%.