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Key takeaways An agentic AI supply chain usually fails first on simple questions, such as where a part is, what's in transit and which orders a shortage will hold up, because each …
Key takeaways Agentic AI governance decides what an AI agent may read, say and do, and records what it actually did, at the moment it answers rather than in a policy document. Poli…
Key takeaways The AWS Context Ontology Accelerator is open-source software that drafts an ontology from your data, lets your experts review and approve it, and serves the result to…
Key takeaways A context layer holds the business rules, definitions and consequences behind your data, so an AI agent knows what a fact means for the decision in front of it and wh…
Key takeaways Ontology in AI is the business's own map of its things, relationships, definitions and rules, and a context ontology hands that map to an AI system at the moment it a…
Key takeaways The telematics company's CRM said 2,410 active customers, finance said 2,180 and product said 1,960, and each assistant it tried repeated whichever number sat closest…
Key takeaways The payments company in this guide paid about $5,174 a month for one nightly Spark workload, and the same jobs cost about $1,031 once its cluster shut down between ru…
Key takeaways The model is rarely what stalls an agent program. At the distributor in this guide, a quote-assist demo worked fine until it met three IDs for one customer and access…
Key takeaways The rental company's quote assistant hit the warehouse in bursts of narrow queries at 7 a.m., each one on behalf of a named counter rep, and within a month the team w…
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