Context graphs is the new buzzword for agentic Systems of Knowledge, uncovering the key role of the tribal knowledge hidden in decision threads that inform enterprise activity.

Text mining and knowledge graphs connect cell-culture parameters to glycosylation for faster bioprocess optimization.

Haven applies artificial intelligence to modernize incident investigations, root cause analysis, and prevention across ...

Reco's $30 million Series B round will fuel expansion of its AI SaaS governance platform as enterprises adopt generative AI ...

Under the agreement, Draslovka and Avathon will collaborate closely on go-to-market initiatives, jointly commercializing and cross–selling the combined offering. The combined Draslovka–Avathon ...

Draslovka a.s. (Draslovka), a global innovator in sustainable chemical technologies and AI-enabled services for the mining sector, and Avathon, a leader in […] ...

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Reco's rapid growth reflects a broader market shift. The company has seen increasing inbound demand from large organizations seeking a way to secure sprawling SaaS and AI environments. Reco today ...

Digital strategist who coined 'Answer Engine Optimization' says SEO and GEO each address only one-third of how AI ...

GEOsAI is accessible to all fiduciary advisors on Datalign's platform, with paid access available to RIAs outside the Datalign network. To explore how GEOsAI can inform your site selection strategy, ...

Last year Twilio created a new role - Head of Marketing Innovation and AI, a job taken on by Piyush Sagar Mishra who explains ...

As AI agents move into production, teams are rethinking memory. Mastra’s open-source observational memory shows how stable context can outperform RAG while cutting token costs.