Uncover hidden insights and tackle complex challenges with the power of knowledge graphs. Join Quantexa’s technical experts as they demonstrate how context-rich knowledge graphs reveal unknown unknowns, enabling organizations to identify hidden signals in vast data sets to support deeper analysis and investigation.
In this session, you’ll learn how multi-hop graph techniques explore proximity and paths to illuminate relationships and communities of interest. With examples from financial risk detection and customer intelligence, you’ll discover how data and operational teams can use graphs to look both wide and deep and take complex connections to better decision-making.
Whatever flavor of big data analytics you’re exploring - organized crime networks, sanctions evasion, uncovering customer opportunities, or something else - this webinar will provide practical methodologies and real-world examples for leveraging graph technology to its fullest potential.
In this webinar, you will learn:
- How knowledge graphs uncover hidden insights in the largest data sets
- How ego graphs mine and deliver deep insights How multi-hop techniques can apply to real-world use cases for risk detection, customer intelligence, and big data analytics
- How data scientists and analysts can combine for effective decision-making, with tools like notebooks and user interfaces
- Best practices for scaling graph-based infrastructures
Speakers:
@Matthew_Jackson, Lead Data Scientist
@Steve_Wilcockson, Technical Product Marketing Manager
