Customer Conversations: Cummins – AI-Ready Data Stack With Graph
Thursday, May 8
10:00am PT | 1:00pm ET
30 Minutes
With a graph database, you can uncover hidden relationships and insights in your data. A graph database can also prove critical in enabling an AI-ready data stack that automates data enrichment and improves system intelligence.
By continuously analyzing and learning from data, AI enhances data accuracy and usability. This lays a foundation to get pilots for AI applications and assistants off the ground.
Join us on May 8 to hear why Cummins, Inc. chose graph over other database options. Learn real-world examples of what you can do with a graph-based approach to enterprise data management, including optimizing supply chain routes, building better knowledge graphs, and creating digital twins.
In 30 minutes, you’ll find out how to:
- Implement a graph database as a digital core to enable an AI-ready data stack
- Integrate graph with existing systems and data platforms like Snowflake and Databricks
- Enhance your data ecosystems and system performance
Improve insights and decision-making - Power AI-driven automation, metadata management, and digital transformation
- Improve insights and decision-making
Register today to learn the benefits of graph and an AI-ready data stack.
SPEAKERS
Jim Jacob
Vice President, Executive Director - Digitization, Advanced Analytics and Artificial Intelligence, Cummins
Neha Bajwa
Vice President, Product Marketing, Neo4j
