Google's Agentic Data Cloud rewires BigQuery, its data catalog and pipeline tooling around autonomous AI agents — not the ...

Modern data analytics and AI infrastructure depend on one simple truth: useful data must move fast, stay available, and ...

Alibaba's HDPO framework trains AI agents to skip unnecessary tool calls, cutting redundant invocations from 98% to 2% while ...

Questel, a world leader in intellectual property solutions—including AI-assisted patent search, translation and ...

Google is recasting its data and analytics portfolio as the Agentic Data Cloud, an architecture it says is aimed at moving enterprise AI from pilot to production by turning fragmented data into a ...

The company’s QaECTER model can retrieve patent data when users use patent-specific language in their search queries.

In practice, retrieval is a system with its own failure modes, its own latency budget and its own quality requirements.

As technology and regulations evolve, enterprises need to address data governance throughout pipelines, models, and AI agents ...

SQL Server 2025 is introducing AI-native capabilities alongside new approaches for secure integration with large language models. Enterprises can now run local AI models such as Llama 3 via Ollama for ...

The post The Future of AI Defense: Implementing Quantum-Resistant Cryptography for MCP appeared first on Read the Gopher ...