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The Analytics Engineering Podcast
AI's Impact in the World of Structured Data Analytics (w/ Juan Sequeda, data.world)
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.
48:18
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Quick takeaways
- Investing in knowledge engineering is crucial for improved problem-solving in data processing.
- Integration of knowledge graphs with AI models enhances accuracy in question-answering systems.
Deep dives
The Future Focus on Knowledge Work in the Data Industry
Investing in managing knowledge work and knowledge engineering is essential for the future of the data industry. Treating knowledge work as a first-class citizen can lead to improved problem-solving and efficiency in data processing. The hope is for industry and academic sectors to prioritize courses and training in knowledge engineering roles, shifting the focus towards managing critical business knowledge effectively and optimizing data practices for greater success.
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