Modern engineering needs a shift from "gates" to "guardrails." Scale via decentralized architecture that treats teams like ...

Learn how logistics architecture integrates automation and efficiency, influencing the future of urban design and ...

Corgan, HDR, Gensler, Stantec, AECOM, HKS, Page, HED, Arcadis North America, and DGA top Building Design+Construction's ranking of the nation's largest data center ...

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 ...

You’ve heard the pitch a thousand times: AI is the silver bullet that will solve everything from customer churn to supply-chain bottlenecks. But the truth is messier. The pace of change in AI and ...

Generative AI (GenAI) is driving a surge in computing demand, pushing data center competition beyond server performance toward infrastructure efficiency and deployment density, with power architecture ...

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

Ashmin Swain has made himself essential to the modern companies he serves, but you've probably never seen what he does. As a data engineer, Swain's main job is to take the massive amounts of raw data ...

Beneath the visible surface of cities lies an invisible architecture. Subways, tunnels, water systems, data cables, and bunkers form a dense network that sustains urban life while remaining largely ...

Right now, AI technologies are not just enhancing existing technology portfolios—they are reshaping how organizations think about modern data architecture, elevating modernization from a competitive ...

The redesign of data pipelines, models, and governance frameworks is integral in facilitating the adoption of automation across asset servicing. Through re-engineering — which usually involves ...

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 ...