Does AI need ontology standards?
Yes, AI does currently need ontology standards, insofar as users care about validated enterprise truth and correctly inferred meaning. Ontology…
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Articles & Insights
Does my AI agent need a Human-in-the-Loop (HITL)?
If your AI agent is performing mission-critical tasks that demand high levels of accuracy, you probably need humans in the…
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Does my agent need neurosymbolic AI?
Any AI agent performing high-stakes knowledge work that is subject to audits or regulation, is likely to benefit from a…
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Does my AI need an ontology or a taxonomy?
While taxonomies can usually handle applications such as CRM and warehouse management in our experience, more sophisticated tasks using vertical…
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Why do enterprise ontologies fail?
Ambitious ontologies that are designed from the top down to cover an entire enterprise, have a high risk of never…
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How can ontologies deliver measurable value?
Ontologies can deliver measurable value in our experience when they work as operational constraints, shaping how AI systems interpret data,…
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How do I get agreement on an AI trust layer?
Developing the rules and policies for a trust layer that can govern your AI needs consensus among key stakeholders –…
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What is AI trust layer infrastructure?
Trust layer infrastructure is a system to enforce machine-readable rules, policies and guardrails on AI so that it can be…
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How does LLM grounding work?
Grounding a large language model (LLM) means anchoring its outputs in reality, as defined by the organisation that is using…
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Does my LLM need an ontology?
A large language model (LLM) benefits most from an ontology in domains where hallucinations and errors can have serious consequences,…
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