---
title: "Graph Gurus Episode 45: Smarter AI with Analytical Graph Databases"
description: Today's analytical graph databases are taking organizations to another level by connecting all their data, representing knowledge better, and obtaining answers to deeper questions in real time. 
image: https://info.tigergraph.com/hubfs/WEBINARS%20(17).png
---

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# Graph Gurus Episode 45: Smarter AI with Analytical Graph Databases - Best Practices and Case Studies

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**Graph Gurus 45: Smarter AI with Analytical Graph Databases - Best Practices and Case Studies**

**Recorded January 6, 2021**

Today's analytical graph databases are taking organizations to another level by connecting all their data, representing knowledge better, and obtaining answers to deeper questions in real-time.

These benefits extend to the world of machine learning and AI. This talk will illustrate several ways in which graph databases and graph analytics can deliver smarter AI:

- Unsupervised learning with graph algorithms
- Feature extraction and enrichment with graph patterns
- In-database ML techniques for graphs

Join us as we share client case studies from **7 out of the top 10 banks in the world, China Mobile, Xandr (part of AT&T), UnitedHealth Group, and Intuit Corporation**. We will cover use cases including entity resolution, customer 360, recommendations, and real-time fraud detection.

**Speakers:**

Victor Lee, Head of Product Strategy and Developer Relations, TigerGraph 

 

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