# GraphBI: Expanding Analytics to All Data Through the Combination of GenAI, Graph, & Visual Analytics // Paco Nathan & Weidong Yang // #310

Page: https://stenobird.com/podcast/mlops-community/graphbi-expanding-analytics-to-all-data-through-the-combination-of-genai-graph-visual-analytics-paco-nathan-weidong-yang-310
Text version: https://stenobird.com/podcast/mlops-community/graphbi-expanding-analytics-to-all-data-through-the-combination-of-genai-graph-visual-analytics-paco-nathan-weidong-yang-310.md
Podcast: [MLOps.community](https://stenobird.com/podcast/mlops-community)
Published: 2025-04-29T14:41:27+00:00
Episode link: https://podcasters.spotify.com/pod/show/mlops/episodes/GraphBI-Expanding-Analytics-to-All-Data-Through-the-Combination-of-GenAI--Graph---Visual-Analytics--Paco-Nathan--Weidong-Yang--310-e3256of
Audio file: https://anchor.fm/s/174cb1b8/podcast/play/101931215/https%3A%2F%2Fd3ctxlq1ktw2nl.cloudfront.net%2Fstaging%2F2025-3-29%2F399275900-44100-2-d019745625b9e.mp3
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Duration seconds: 4441

## Resource

GraphBI: Expanding Analytics to All Data Through the Combination of GenAI, Graph, & Visual Analytics // MLOps Podcast #310 with Paco Nathan, Principal DevRel Engineer at Senzing & Weidong Yang, CEO of Kineviz. Join the Community: https://go.mlops.community/YTJoinIn Get the newsletter: https://go.mlops.community/YTNewsletter // Abstract Existing BI and big data solutions depend largely on structured data, which makes up only about 20% of all available information, leaving the vast majority untapped. In this talk, we introduce GraphBI, which aims to address this challenge by combining GenAI, graph technology, and visual analytics to unlock the full potential of enterprise data. Recent technologies like RAG (Retrieval-Augmented Generation) and GraphRAG leverage GenAI for tasks such as summarization and Q&A, but they often function as black boxes, making verification challenging. In contrast, GraphBI uses GenAI for data pre-processing—converting unstructured data into a graph-based format—enabling a transparent, step-by-step analytics process that ensures reliability. We will walk through the GraphBI workflow, exploring best practices and challenges in each step of the process: managing both structured and unstructured data, data pre-processing with GenAI, iterative analytics using a BI-focused graph grammar, and final insight presentation. This approach uniquely surfaces business insights by effectively incorporating all types of data. // Bio Paco Nathan Paco is a "player/coach" who excels in data science, machine learning, and natural language, with 40 years of industry experience. He leads DevRel for the Entity Resolved Knowledge Graph practice area at Senzing.com and advises Argilla.io, Kurve.ai, KungFu.ai, and DataSpartan.co.uk, and is a lead com…

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