AI may be the visible goal, but data architecture is what determines whether that goal can actually be achieved.

Scaling agentic AI demands a strong data foundation - 4 steps to take first ...

A modern data fabric makes it possible to turn existing enterprise knowledge into a trusted foundation for AI.

Time flies in the world of data analytics and artificial intelligence (AI). Seemingly every day, new technologies rise, new use cases emerge, and new frontiers unfurl themselves before a world that ...

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 ...

In today’s data driven world businesses turn to modern data architectures to harness data, drive innovation and stay ahead of ...

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 ...

In the first quarter of 2025, nearly 60% of DBTA subscribers told us they were actively researching GenAI with LLMs, including RAG and knowledge graphs. On top of this, when asked which technologies ...

Enterprises used data to understand what happened. Now systems are being built to decide what should happen next. But before ...

BearingPoint’s Shruti Goyal talks about zero-copy architecture and why it’s ultimately a game-changer for data teams.

Under the Bank of England’s Banking Data Review (BDR), data architecture has mutated from a back-office concern into a possible determinant of Pillar 2A capital requirements. The supervisory paradigm ...

AI applications do not run on models alone. They run on timing. A support copilot, fraud system, recommendation engine, or AI ...