The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.

A linchpin of this transition is the emergent data and AI platform, what we call the system of intelligence and what Google ...

As the way of managing enterprise data assets evolves from simple accumulation to value extraction, the role of AI has shifted accordingly: it is no longer limited to basic data processing and ...

Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.

Already, BAND's early users — and enterprises more broadly — are mixing and matching AI agents powered by models from various ...

Which technologies, designs, standards, development approaches, and security practices are gaining momentum in multi-agent ...

This AI-driven RPG platform, called Voyage, enables players to design their own gaming worlds with the help of AI. Players ...

Prompt engineering keeps adding new techniques. One is the String Seed-of-Thought (SSoT) that aids options-choosing, game ...

The new version of Agent Fabric brings cross-vendor control and deterministic process specifications to multi-agent workflows ...

By moving into AI observability with Galileo and identity with Astrix, Cisco is repositioning its secure network as the ...

LLM-as-a-judge is exactly what it sounds like: using one language model to evaluate the outputs of another. Your first ...

In other words, a telecom-based data clean room provides a privacy-first alternative to third-party cookies, device IDs, or ...