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 ...

“Emerging applications such as deep neural network demand high off-chip memory bandwidth. However, under stringent physical constraints of chip packages and system boards, it becomes very expensive to ...

VAST Data Introduces End-To-End Fully Accelerated AI Data Stack With NVIDIA. VAST AI OS will leverage NVIDIA libraries to accelerate both compute and data services for RAG, vector search, real-time ...

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 ...

Based on 560 verified end-user reviews from Info-Tech's SoftwareReviews platform, the 2026 Enterprise Architecture Data Quadrant Report identifies the leading enterprise architecture software ...

For decades, organizations have approached data architecture with a monolithic mindset—centralized platforms, complex codebases and rigid structures. While these systems were built with the noble goal ...