Why modern observability systems fail during incidents, and how new architectures fix them.

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

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 ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Our world is inherently decentralized. Over the last two decades, the ...

Raghvendra Tripathi is a principal enterprise architect at one of the largest U.S. health insurance providers, where he specializes in designing intelligent, data-driven systems to optimize patient ...

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 ...

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 ...

Enterprise data platforms become harder to scale as data volumes grow. Organisations then tend to use multiple tools to fix, ...

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

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 ...