AI can’t deliver full value unless it’s fed a complete picture of structured data from systems of record, combined with ...

To unlock the full benefits of agentic AI, organizations need to bring together data from multiple sources in a way that users can trust. Strong guardrails, clear permissions, and full audit trails ...

For a long time, companies have been using relational databases (DB) to manage data. However, with the increasing use of large AI models, integration ...

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These are all signs that, in the enterprise software arena, the race for both users and data is on. It will be up to decision ...

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even ...

With the advent of the data-driven era, NL2SQL technology has emerged, enabling users to generate database query statements using simple natural language, significantly lowering the barriers to data ...

DBTA's webinar, Succeeding with Modern Data Applications, gathered a series of experts to evaluate key technologies, tools, and best practices for developing modern data apps that enable a data-driven ...

Open-source data orchestration platform Kestra reaches 1.0 as organizations grapple with increasing complexity for getting ...

Industry Characteristics: Industries like electricity and finance are typical examples of critical information infrastructure ...

Small Language Models (SLMs) are redefining enterprise AI by offering faster, more efficient, and cost-effective solutions ...