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 ...

The architecture profession is increasingly facing the pressures of a rapidly changing era marked by urbanization, population growth, and climate change. To effectively navigate the complexities ...

Operator learning is key to leveraging artificial intelligence for scientific discovery by enabling the solution of partial differential equations that express core principles of physical modeling.

The models work. The cloud infrastructure is in place. The data teams are capable. Yet the results from AI are still wanting, and the timelines are slipping. This is not an unusual situation; it is ...

In an era where data is a strategic asset, organizations often falter not because they lack data—but because their architecture doesn’t scale with their needs. Leaders must design data ecosystems that ...

Atlanta-based architecture startup Cove is launching what it is billing as the first full-service architecture practice powered by artificial intelligence. The new practice, Cove Architecture, is the ...

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The evolution of data architecture is accelerating. In 2025, 85% of DBTA subscribers reported plans to modernize their data platforms—driven largely by the explosive rise of GenAI and large language ...

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. What is ...