Becoming truly data-driven requires more than adopting new tools-it demands clear alignment between business goals and data architecture. At Data Summit 2026, John O'Brien, principal advisor and ...

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 ...

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

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 ...

The persistent divide between what brands believe they are delivering and what customers actually experience comes down to ...

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 ...

As regulated industries accelerate AI adoption, Chennareddy's governed, audit-ready architecture spanning North America, ...

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Trust is fragile, and that's one problem with artificial intelligence, which is only as good as the data behind it. Data integrity concerns -- which have vexed even the savviest organizations for ...

Architecting modern applications is a tough job, and architecting a solid data model for modern applications is one of the toughest, yet most important, parts of a modern application architecture.

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...