This podcast interviews Inna Tokarev Sela, CEO of Illumex, about her company's approach to enterprise data analysis. The discussion covers Illumex's unique methodology of using metadata to create a "canonical" data model for different industries, automating the mapping of a company's data onto this model, and enabling natural language querying of data without direct access to the underlying data itself. Illumex's application-free vision, aiming to provide data access through existing communication platforms like Slack, is also explored. A key takeaway is Illumex's 91% accuracy in automatically generating ontologies, surpassing many open-source alternatives. The interview concludes with a discussion on the future of data analytics roles, suggesting a shift towards data moderation rather than creation.
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