Generation (RAG)-powered real-time recommendation engines with OpenAI and Aerospike

Join us for a hands-on workshop in your city

Join us for a hands-on, two-part technical workshop series hosted in partnership with Aerospike where we’ll dive into real-world implementations of graph-based fraud detection and real-time recommendation engines—now supercharged with RAG and OpenAI integration.

Part 1:

Fraud Detection with Aerospike Graph

Uncover hidden fraud patterns using real-time graph analytics.

In this session, you’ll:

  • Learn how Aerospike Graph detects fraud rings and anomalies at enterprise scale
  • Visualize and execute fraud queries using real-world datasets
  • Follow a “cooking show” demo walking through data modeling, graph traversal, and advanced detection logic

 

Part 2:

RAG-Powered Recommendations with Aerospike Cloud + OpenAI

Build intelligent, real-time recommendation engines that combine live behavioral data, ML features, and generative AI.

In this session, you’ll:

  • Work with an eCommerce dataset to power ML-based recsys pipelines
  • Use Aerospike Cloud and OpenAI to generate and serve dynamic content in real time
  • Watch how a real-time UX adapts as users engage — with context-rich, AI-generated output

Who Should Attend

♦ Software Engineers & Data Scientists
♦ ML Engineers & Architects
♦ Technical Decision-Makers modernizing real-time infrastructure

Whether you’re building real-time fraud pipelines, RAG-powered recsys, or infrastructure for agentic AI applications, this workshop will give you hands-on exposure to tools that scale — with performance you can feel.

Spots are limited [50]— reserve your seat today.

Bonus Module:

Aerospike Cloud APIs & Scalable Integration

Explore how to connect Aerospike Cloud with your enterprise stack to drive low-latency, high-throughput use cases—at a fraction of the cost of legacy systems.

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