New AWS Software Competencies — Financial, Auto, GenAI, and ML | Learn Now
When building apps, traditional architectures, such as relational databases, offer pain more than speed and flexibility. They chop your data up, then lock it in rows and columns. You lose the connections and relationships between data points. You miss out on valuable context and insights.
Restoring these valuable connections requires a slow, painful JOIN.
Fortunately, a graph database assures speed and flexibility when building apps. It preserves the connections and relationships so you can easily uncover new patterns in your connected data to find new relationships, context, and insights. When you add new datasets, the flexible schema allows you to scale as you improve and evolve your apps.
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Greg Posten, Neo4j
Welcome
Neha Bajwa, Vice President, Product Marketing, Neo4j
The Power of Seven Graphs – Neo4j Graph Database and Analytics
Neha Bajwa, Vice President, Product Marketing, Neo4j
Jim Mackey, Regional Vice President, Enterprise Sales, Neo4j
Christian Mikha, Senior Account Executive, Neo4j
GenAI in the Real World: What’s Working and What Are The Challenges
John Stegeman, Product Specialist, Neo4j
Using Transaction Graphs for Fraud Detection
Justo Delbanco, CEO, Duck
Andreas Kollegger, Senior Developer Advocate, Neo4j
How Duck Uses the Power of AI and Neo4j to Create Enterprise Quality Products