Hallucinated answers erode trust in AI fast. On September 29, Graphwise’s Kent Strocker joins KM + RAG: Building Trustworthy, Context-Aware AI to explore how verified, connected knowledge keeps retrieval accurate and traceable.
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Kent Stroker
Kent Stroker is a Senior Pre-Sales Field Engineer at Graphwise with expertise in developing the semantic layers that underpin sophisticated data architectures. His work centers on using ontologies and taxonomies to create a robust semantic backbone for enterprise knowledge graphs, ensuring clarity and interoperability across diverse systems. As both an engineer and an evangelist, Kent is skilled at translating the complexities of graph-based knowledge representation into scalable solutions for the modern data stack and AI-grounding challenges.
Thought Leadership post
The Squishy World of Context Graphs
Kent Stoker talks to HPC Wire about context graphs, semantic reasoning, semantic backbone and more.
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Event
Graphwise Talk#3: Under the Hood of Trustworthy AI: Memory, Meaning, Infrastructure
In our third Graphwise Talk, ontologist Kurt Cagle joins Graphwise to get under the hood of trustworthy AI — how ontologies encode meaning, how semantic memory makes AI auditable, and what it actually takes to build systems that can explain themselves.
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Event
Graphwise Talk#2: Symbolic AI: What Enterprise AI Actually Needs to Know
Most AI teams are building fast, but few are building AI they can actually defend. In this session, we break down what it takes to move from unreliable prototypes to governed, explainable AI systems that hold up under scrutiny.
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