Job Description Within our Datalab team, we are looking for a junior-level data scientist & software developer with a strong quantitative background and an affinity for geopolitics and national and ...

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

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

Discover the best software development project management tools, tested for agile teams, DevOps pipelines, and enterprise ...

Abstract: The integration of knowledge graphs into industrial product development workflows offers a promising solution for managing complex and heterogeneous data to enhance development efficiency.

Companies have been developing AI very quickly to stay ahead of the market, but Favaro and Clark argue that a slowdown would allow more time to deal with the technology’s implications. US-based AI ...

Researchers at Google Threat Intelligence Group (GTIG) say that a zero-day exploit targeting a popular open-source web administration tool was likely generated using AI. The exploit could be leveraged ...

Abstract: This systematic literature review investigates how evolvable knowledge graphs (KGs) enhance manufacturing. Evolvable KGs adapt to changing knowledge by leveraging machine learning algorithms ...

To be more effective as a leader, should you focus on building your strengths or fixing your weaknesses? Shannon Anderson-Finch is an executive coach and leadership consultant with nearly 20 years of ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...