Supply Chain Resilience: Mapping Multi-Tier Risk with Graphs and AI on Azure

Thursday, June 18
8:00am PT | 4:00pm BST
30 minutes

How do you uncover risks hiding three tiers deep in your supplier network? Moving beyond siloed ERP tables is the first step.

Join Neo4j and Microsoft to discover how leading enterprises are modeling their supply chains as living networks on Azure. By connecting shipments, routes, and dependencies into a unified knowledge graph, you can eliminate structural blind spots and see the real-time ripple effects of any disruption.

In this webinar, we will demonstrate how combining Neo4j’s graph database with Azure AI allows technical teams to build advanced, context-aware applications. You will see firsthand how to leverage agentic AI and natural language queries, enabling your business to shift from reactive firefighting to proactive decision-making.

What you’ll learn:

  • How to turn disconnected data silos into a dynamic supply chain graph.
  • How to map multi-tier supplier dependencies without complex SQL joins.
  • How to ground Azure AI models for trustworthy, natural language logistics insights.


SPEAKER

Corydon Baylor Image

Corydon Baylor
Sr. Manager, Technical Product Marketing

Corydon has nearly a decade of experience in data science consulting and currently works as a technical product marketer focused on Graph Analytics at Neo4j. He is interested in how graph algorithms can help businesses uncover relationships, improve decision-making, and maximize ROI, and is the author of A Practical Introduction to Graph Algorithms.
Benjamin Squire Image

Benjamin Squire
Senior Developer Advocate

Benjamin Squire is a Senior Developer Advocate at Neo4j with over 10 years of experience applying machine learning, graph analytics, and optimization techniques to business challenges. He holds a Bachelor’s degree in Mathematics and a Master’s degree in Operations Research, and focuses on helping organizations integrate graph technology into the broader enterprise technology ecosystem.

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