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

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document ...

While AI holds the promise of radically transforming KM, human oversight takes on intensified responsibilities for ensuring the knowledge provided is accurate, timely, and relevant as well as guarding ...

A technical guide to building management systems: how BMS components work, key protocols, network design, and the path to ...

Spread the love“`html Did you hear about Google’s latest move in the artificial intelligence space? Probably not, and that’s precisely the point. While the tech giant is famous for its splashy product ...

Marketing Evolution CEO Stephen Williams on why unified data is the missing link for fintechs looking to scale AI and deliver ...

Key market opportunities in the global semantic web market include leveraging knowledge graphs to enhance AI ecosystems, boosting biomedical research through semantic interoperability, and improving ...

As AI continues to advance, infrastructure must evolve to enable access and delivery of real-time information at scale.

Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...

A study led by researchers from IMDEA Networks and Carlos III University of Madrid (UC3M) has carried out the first ...