As AI systems evolve from assistants into autonomous collaborators, enterprises will need durable memory, explicit semantics, lineage, governance, and explainability. AllegroGraph and GraphTalker ...

Why every eCommerce platform needs a knowledge graph: better search, smarter recommendations, and AI-powered enterprise ...

Abstract: Benefiting from exploiting the data topological structure, graph convolutional network (GCN) has made considerable improvements in processing clustering tasks. The performance of GCN ...

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

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Spread the love“`html In a move that few anticipated, Google has unveiled a groundbreaking open standard for AI agents called the OKF AI standard. Launched in June 2026, this innovative framework has ...

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 ...

High-impact AI implementations are more likely to treat data architecture, governance, and operationalization as strategic requirements, according to TDWI's 2026 Blueprint report.

This buzzy sleep system’s temperature regulation is transformative, but the privacy trade-offs and subscription costs are ...

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