Graph Algorithms to Build Efficient Apps & Unlock Insights
Thursday, August 14
10:00 BST | 11:00 CEST
30 Minutes
A developer, data scientist, engineer, or analyst can extract deep insights from connected data with graph algorithms. With graph, you can model your data intuitively — the way you use it — with its relationships intact.
Graph algorithms explore these relationships to uncover hidden patterns to reveal new paths, influential nodes, and communities. Then you can optimize your model of a real-world network.
As a result, you have meaningful insights that can guide decision-making, sharpen analysis, and help build efficient applications. You can solve complex problems, like how to find fraud faster, make better product recommendations, optimize networks, and more.
Join us on 14 August for a 30-minute primer on the different types of graph algorithms. You’ll learn how to:
Graph algorithms explore these relationships to uncover hidden patterns to reveal new paths, influential nodes, and communities. Then you can optimize your model of a real-world network.
As a result, you have meaningful insights that can guide decision-making, sharpen analysis, and help build efficient applications. You can solve complex problems, like how to find fraud faster, make better product recommendations, optimize networks, and more.
Join us on 14 August for a 30-minute primer on the different types of graph algorithms. You’ll learn how to:
- Choose the right graph algorithm for the right problem
- Prepare and structure your data for graph analysis
- Work with Neo4j’s extensive library of 65+ ready-to-use graph algorithms
SPEAKER
Corydon Baylor
Sr. Manager, Technical Product Marketing
