AI Engineer Meetup #6

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Neo4j and AWS Generative AI Workshop – Berlin

Join Neo4j and AWS experts for a hands-on lab for data scientists and engineers where you will learn how to use graph technology to build intelligent, context-driven applications with lightning-fast queries and real-time insights.

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JAX

Java 21 und Beyond: Praxisnahe Einblicke in die neuesten Java-Entwicklungen und -Technologien. Zukunftssichere Software-Architekturen: Best Practices für Enterprise Java, Microservices und DevOps für skalierbare IT-Systeme. Aktuelle IT-Trends verstehen und anwenden: Deep Dive in JavaScript, Cloud-Native und Serverless-Technologien. Generative AI und… Read more →

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Customer Conversations: Cummins – AI-Ready Data Stack With Graph – Europe

Join us on May 8 to hear how Cummins, Inc. used a graph database to enable an AI-ready data stack. In 30 minutes, learn how to follow their example to improve metadata management, knowledge graph capabilities, and decision-making. Find out… Read more →

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GraphRAG and Knowledge Graphs: Build Enterprise-Grade GenAI Application – Europe

Join us for a 45-minute overview of how to build enterprise-grade GenAI apps using GraphRAG. See how to combine knowledge graphs with RAG to ground LLMs to give GenAI results more context and accuracy.

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GraphRAG with Neo4j+GNN+LLM

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DUCK

$12.5B Predicted market size for Customer Intelligence Platforms by 2030 (Grand View Research) 41% Of consumers have discovered products through social media (AMZ Scout) 100,000+ Community subreddits on Reddit alone, boasting 22 billion posts and comments (DMEXCO) Most companies miss… Read more →

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