Enterprise AI success depends less on access to models and more on the architecture that makes them valuable.​ ...

Why the layer underneath hotel AI matters more than the tools on top — Marriott's Colin Coleman ahead of Skift Data + AI ...

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 ...

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While the component supply crunch remains the headline, this also underscores that AI infrastructure architectures need to adapt.

Enterprises racing to deploy generative AI often focus on models. In practice, outcomes depend on how well organizations prepare, manage, and move their data. AI-ready data platforms, vector databases ...

Data access is no longer just an IT problem — it’s a business acceleration issue. In this episode of DEMO, Keith Shaw sits down with Chris Brown, Field CTO at Immuta, to explore how their platform is ...

Acceldata is explaining how (in its view) the next era of data belongs to autonomous, hybrid-native, cross-lake (xLake) ...

TiDB is a prime example of an intrinsically scalable and reliable distributed SQL database architecture. Here’s how it works. In the good old days, databases had a relatively simple job: help with the ...