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With AI becoming increasingly integrated into professional workflows, it's reasonable to ask whether our traditional approaches to organizing knowledge remain relevant. This talk explores why taxonomies matter, now more than ever, as a way of mediating between human expertise and AI capabilities in complex domains.
We'll examine how taxonomies can enhance AI systems through improved data organization, output validation, nuanced context and domain-specific tuning.
We'll demonstrate how taxonomies can be key to data quality in complex domains, and review some technical principles in taxonomy design, classification schemes, and quality control mechanisms,
We'll showcase the Data Operations IL open source taxonomy project as a practical case study. The project is mapping the professional landscape of data professionals in Israel, to benefit the community with a data foundation for various needs such as career path analysis, skills gap identification, job market trend analysis, and more.
Speaker: Noemie Guthmann
Host: Gabor Szabo
Location: Zoom
Language: Hebrew
