Ep. 19 – AI, ontologies, and componentized content w/ Yanko Ivanov
Yanko Ivanov, Enterprise Solution Architect at Enterprise Knowledge, and Noz Urbina define and then differentiate between the often and easily confused areas of
domain models
content models
ontologies, and
knowledge graphs.
They also make the connections between these and AI technologies like large language models including ChatGPT.
By zooming out and covering all these terms together, they illuminate how each contributes to different business scenarios by addressing different aspects of structured content and data.
Sections:
[00:00] Introduction, Noz, Yanko & the OmnichannelX Podcast
Noz Urbina introduces himself, the podcast, today's guest.
[02:03] Domain and Content Modeling Explained
The relationship between domain and content modeling is explained with a focus on structured content and semantics.
[07:01] Content Models and Semantic Structured Content
Urbina shares examples to illustrate how content models and semantic structured content contribute to personalized content delivery.
[08:10] Ontology and Knowledge Graphs
What are ontologies? Yanko Ivanov discusses the evolution from domain modeling toward the implementation of ontologies in knowledge graphs. Noz and Yanko provides examples where and how they could be used.
[19:25] What You Can Do with a Machine-readable Ontology?
Specific applications that can be supported with an ontology - the structuring of truth. Recommendation engines, related information, knowledge bases, or other applications that require real machine understanding of complex collections of content.
[25:45] Knowledge Graphs vs Content Model
How do a graph and a model work together? What does what and what functionality do they each deliver to a solution?
[30:17] AI and Structured Content - What's ChatGPT Got to Do With it?
How structured content can help and support use of Large Language Models (LLMs) and language interfaces like ChatGPT to make them more accurate and reliable for enterprise or sensitive applications.
[37:30] An Example Enterprise System - the Microsoft Copilot System
An example of enterprise graph, LLM, and the MS Office Suite working together.
[46:48] Conclusion and Looking Forward
Wrapping up with some open questions about what life will be like in a few years with AI.
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