Introduction to Graph Analytics - Overview of GraphDB

Explore the fundamentals of graph analytics and GraphDB in this comprehensive 55-minute video presentation. Discover why graph technology is projected to be foundational for 80% of Analytics and ML workloads by 2025. Learn about the unique characteristics of graph databases, their optimal use cases, and how they differ from traditional databases. Dive into a specific fraud detection use case, complete with a demo of a potential graph-based solution. Gain insights into how graph analytics is being utilized by innovative organizations worldwide. By the end of the session, understand what makes graphs distinct, identify suitable use cases, recognize the value graph technology adds to current ML approaches, and learn how to leverage graphs in your work. The presentation includes Q&A breaks and provides resources for further learning in graph analytics, machine learning, and data science.

Introduction to Graph Analytics
Machine Learning and Algorithm Support
Common Use Cases
Q&A Break
Focus on Fraud
Fraud Detection in Financial Services
Q&A Break
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