Red Summit Board Services & Advisory reposted this
🧠 AI isn’t suffering from a model problem. It’s suffering from a context problem. One of the biggest shifts I’ve seen over the past year is that executive conversations are finally moving beyond “Which LLM should we use?” to “How do we make AI understand our business?” That is a much more important question. Too many organizations are investing heavily in AI while overlooking the layer that gives those models meaning: relationships, context, governance, and trusted knowledge. Knowledge graphs and ontologies aren’t just academic concepts anymore—they’re becoming foundational infrastructure for enterprise AI. From a CEO perspective, I’ve watched organizations dramatically improve AI outcomes when they stop treating data as isolated records and start treating it as connected knowledge. From a board advisor’s perspective, I see this as a governance issue just as much as a technology issue. Boards need to be asking: ✅ Does our AI understand our business? ✅ Can we explain and trust the answers it produces? ✅ Are we creating knowledge assets that become competitive advantages over time? The companies that answer those questions well won’t just deploy AI faster—they’ll build AI that executives, employees, customers, and regulators can actually trust. This article is an excellent look at why knowledge graphs, ontologies, and semantic technologies are becoming central to the next generation of enterprise AI. I’d love to hear your thoughts. Where do you think organizations are today—still chasing bigger models, or finally investing in better context? #ArtificialIntelligence #KnowledgeGraphs #EnterpriseAI #SemanticAI #DataStrategy #BoardLeadership #DigitalTransformation #DataGovernance #Innovation #Leadership
Graphs, Ontologies, and the Room Where It’s Happening: KGC 2026 https://lnkd.in/gbdQVKgi