

AI's Impact in the World of Structured Data Analytics (w/ Juan Sequeda, data.world)
21 snips Mar 10, 2024
Topics discussed include semantics, text-to-SQL performance, AI's impact on structured data analytics, evolution of semantic web, knowledge graphs, observability in business analysis, GPT-4 for text to SQL, design patterns in LLM interaction, and knowledge management in the data industry.
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Juan's Semantic Web Journey
- Juan Sequeda shares his journey from discovering the semantic web as an undergrad to integrating it with relational databases in his PhD work.
- His startup Ultra-Rep commercialized semantic web technology, later acquired by data.world, connecting his academic work to industry impact.
Semantic Web Powers Knowledge Graphs
- Modern knowledge graphs used by Google and others are founded on semantic web principles developed in the early 2000s.
- Semantic markup like schema.org has been widely adopted, enabling rich data representation across the web.
Knowledge Over Data in Catalogs
- Data catalogs must evolve beyond data indexing to capture organizational knowledge and context.
- This knowledge is critical to enable AI applications that understand business semantics and provide accurate insights.