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Explore how GraphBI combines GenAI, graph technology, and visual analytics to unlock the full potential of enterprise data in this 73-minute podcast episode from MLOps.community featuring Paco Nathan (Principal DevRel Engineer at Senzing) and Weidong Yang (CEO of Kineviz). Learn how traditional BI solutions only utilize about 20% of available information (structured data), while GraphBI aims to incorporate the remaining 80% of unstructured data. Unlike black-box RAG systems, GraphBI uses GenAI for transparent data pre-processing, converting unstructured information into graph-based formats that enable reliable, step-by-step analytics. The discussion covers the complete GraphBI workflow, from managing diverse data types to pre-processing with GenAI, iterative analytics using graph grammar, and effective insight presentation. Topics include PII anonymization techniques, differences between Graph RAG approaches, ontologies versus embeddings, data visualization strategies, access control considerations, and practical use cases across various domains including IoT.
