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Automating Taxonomy Generation With Compound AI on Databricks

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Overview

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Explore a modern approach to solving taxonomy generation challenges across retail, manufacturing, and e-commerce industries using Databricks platform and compound AI architecture. Learn how incomplete or inconsistent taxonomies can lead to fragmented data insights, missed monetization opportunities, and stalled revenue growth, then discover scalable solutions to address these critical business problems. Understand the business significance and implications of taxonomy systems before diving into technical implementation details for building automated taxonomy generation on the Databricks platform. Examine the anatomy of taxonomy generation through an innovative solution that combines multimodal and text-based large language models, internal data sources, and external API calls in an ensemble approach. Master the compound AI architecture that ensures more accurate, comprehensive, and adaptable taxonomies aligned with specific business needs. Gain insights from industry experts Allistair Cota, Lead Consultant for Data & AI at Lovelytics, and Sudhir Gajre, Managing Director of GenAI at Lovelytics, as they demonstrate practical implementation strategies and showcase real-world applications of this cutting-edge technology for enterprise-scale taxonomy automation.

Syllabus

Automating Taxonomy Generation With Compound AI on Databricks

Taught by

Databricks

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