As organisations accelerate the adoption of tools such as Microsoft Copilot and AI agents, a consistent challenge is emerging: AI outputs are only as trustworthy as the knowledge they are built on. In ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

The best agentic AI innovation in 2026 includes AWS Agentcore, Google Gemini, Microsoft Copilot, Cisco, Databricks, Dell Deskside, Nutanix Agentic AI and VMware.

Part of the SD Times 100 2026 series. See the full SD Times 100 2026 list for every category and honoree. Every conversation ...

Explore the leading application security tools of 2026 designed for enterprises. Understand their features, pricing models, and integration guidance for Indian and APAC businesses to enhance cyber ...

Telecom networks generate an enormous amount of operational data, and the people running them have spent years trying to make sense of it at scale. A modern 5G network exposes dozens of metrics per ...

AVEVA, a global leader in industrial software, today announced a broad set of product innovations spanning its industrial software portfolio at AVEVA World 2026. The updates will make it faster and ...

At Knowledge 2026, ServiceNow expanded its AI control tower with agent governance as markets question the future of SaaS despite accelerating growth.

Retrieval-augmented generation (RAG) has emerged as a pivotal framework in AI, significantly enhancing the accuracy and relevance of responses generated by large language models (LLMs) leveraging ...

Building retrieval-augmented generation (RAG) systems for AI agents often involves using multiple layers and technologies for structured data, vectors and graph information. In recent months it has ...

State of the art in the graph-vector hybrid era of agent memory. 4-pillar cognitive model, Neo4j graph storage, HNSW vector indices. 81.3% on LongMemEval. The only published benchmark comparison where ...