Today’s forward-looking organizations are increasingly turning to artificial intelligence (AI) and machine learning (ML) to solve problems, create opportunities, and improve core processes like fraud detection, improved customer visibility, and supply chain optimization.
Specifically designed for data scientists and Cloud Architects, you’ll learn about Neo4j’s leading graph technology and Google Cloud Vertex AI to apply graph feature engineering to your own datasets. We’ll walk through just a few simple steps to deploy Neo4j and Vertex AI on Google Cloud to begin building a machine learning pipeline with a real-world dataset powered by Neo4j Graph Data Science to improve predictions in Google Cloud Vertex AI.
Join us for this 30-minute webinar to learn how to:
- Load data from Google Cloud into Neo4j’s leading graph database-as-a-service, AuraDS
- Get a view of the Cypher query language to explore relationships and analyze data
- Create a graph using data science for export to Vertex AI and show the power of predictable algorithms
If you are a data science practitioner or Cloud architect, this is a session you won’t want to miss.
Technology professional with more than 25 years of experience in different sales and technical roles while working with customers and business partners on solutions, technologies and services from companies like Microsoft and Dell.
Felipe is a presales engineer for the Latin America team in Neo4j.
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