Agentic AI
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Applications and Use Cases of Natural Language Processing (NLP)
Main takeaways Introduction Natural language processing becomes most useful when language is connected to a specific task, such as interpreting a voice command, extracting clinical information, or analyzing customer sentiment.
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Mapping Structured Data with Agentic Workflows
Read about a skill-based agentic workflow that automates schema mapping to ontology-aligned RDF, with human review of key modeling decisions.
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What is a Context Graph?
A context graph is a knowledge graph in which every statement carries metadata about its source, validity period, confidence level, and access scope.
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What Is a Semantic Backbone?
The Semantic Backbone serves as a source of truth, unifying data silos & providing contextual grounding for scalable and trustworthy Agentic AI.
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