agentic ai

Author: benofben

README.md

@@ -5,7 +5,7 @@ In this hands on lab, you’ll get to learn about [Neo4j](https://neo4j.com/) an
 
 We’re going to analyze the quarterly filings of asset managers with $100m+ assets under management (AUM).  These are regulatory filings made to the Securities and Exchange Commission’s (SEC) EDGAR system.  We’re going to show how to load that data from a Google Cloud Storage bucket into Neo4j.  We’ll then explore the relationships of different asset managers and their holdings using the Neo4j Browser and Neo4j’s Cypher query language.
 
-If you’re in the capital markets space, we think you’ll be interested in potential applications of this approach to creating new features for algorithmic trading, understanding tail risk, securities master data management and so on.  If you’re not in the capital markets space, this session will still be useful to learn about building machine learning pipelines with Neo4j and Microsoft Foundry.
+If you’re in the capital markets space, we think you’ll be interested in potential applications of this approach to creating new features for algorithmic trading, understanding tail risk, securities master data management and so on.  If you’re not in the capital markets space, this session will still be useful to learn about building agentic AI pipelines with Neo4j and Microsoft Foundry.
 
 ## Venue
 These workshops are organized onsite in a Microsoft office.