Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the human-scale queries enterprise data stacks were built for.

As organizations look to build out more complex digital frameworks, breaking down data silos is essential. But there’s a catch: As data analysts, data scientists and others work across various groups, ...

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 ...

Over the past decade, the data boom has created exciting strategic opportunities for adaptive companies and enabled the development of entirely new enterprises. This wave was the result of the ...

Last year’s inaugural Supercloud event shed light on the accelerating popularity of multicloud infrastructures as a default enterprise standard and the eventual emergence of an eponymous supercloud ...

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 ...

Materials databases lie at the heart of future data-driven discovery in energy-related fields, say researchers from Tohoku ...

Explores modern, modular data architectures for SecOps, moving beyond legacy SIEMs to reduce costs while improving visibility ...

Data pipelines are essential for connecting data across systems and platforms. Here's a deep dive into how data pipelines are implemented, what they're used for, and how they're evolving with genAI. A ...

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