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.






































