Breaking down marketing database silos requires more than APIs. Here is how the Open Semantic Interchange standardizes ...

Abstract: Medical and health data are collected and stored in various document types and databases including clinical treatment records, medical examinations, prognosis health information, health ...

Indirect prompt injection attacks are now draining cryptocurrency from AI agents in production. Zscaler ThreatLabz documented ...

Recent discussion of artificial intelligence in intelligence analysis has consistently framed the technology as a means of accelerating an existing process. The intelligence cycle (collection, ...

Most data teams discover quality problems the same way: a dashboard looks wrong, a stakeholder files a ticket, and an engineer traces the damage backward through the pipeline. By then, the bad data ...

Meta has provided a rare glimpse into the company's storage infrastructure, claiming the system underpinning its AI ...

The approach could cut token use and errors as developers build more complex multi-agent workflows with changing schemas.

AWS S3 Annotations allow up to 1 GB of structured metadata per object. This simplifies data management and AI workflows.

Think of tokenomics as a cloud budget for AI; it stops your team from accidentally racking up massive bills on giant prompts and oversized model responses.

Actian’s Ole Olesen-Bagneux explains why AI agents need metadata, lineage, context, and governance before enterprises can trust them at scale.