Las Vegas

OpenAI + Aerospike Solution Showcase at Amazon re:Invent

We’re bringing real-time data and generative AI energy to AWS re:Invent and you’re invited.

Join Aerospike for a fast-paced Solution Showcase where you’ll see real demos of RAG-powered recommendations, graph-based fraud detection and low-latency AI workflows built with OpenAI and the Aerospike Real-Time Data Platform. Come learn how to bring these patterns into your own apps, grab a drink and connect with engineers and architects building next-generation AI on AWS.

This is a high-signal hands-on walkthrough of how modern teams build production-ready AI followed by karaoke, because it’s Vegas! 🎲 🎤

What you’ll see:

Real-time RAG recsys
Graph-driven fraud detection
How to layer real-time data and AI across the stack

📅 Thursday, Dec 3, 2025
🕚 6:00 PM - 8:00 PM
📍 Kamu Karaoke

_{KAMU Ultra Karaoke}_{is located at the Grand Canal Shoppes at The Venetian Resort Las Vegas! For self-parking, please use The Palazzo parking structure which you can enter on Sands Ave (near Las Vegas Blvd and S. Koval Lane). The Sands Ave entry is located across from the}_{Wynn Hotel}_{& Golf Course. Take the elevator to the 2nd floor of the}_{Grand Canal Shoppes}_{, and you’ll find us between}_{Sushi Samba}_and_{the Xpot}_.

Speaker

Greg Georges

Sr. Solutions Architect

Why Leaders Choose Aerospike for Fraud Detection and Recommendations

Part 1: Fraud detection with Aerospike Graph

Discover how leading organizations use graph technology to detect and prevent fraud in real time.
In this session, participants will:

Learn how Aerospike Graph uncovers hidden connections and anomalies at scale.
Visualize and execute the fraud detection queries in Aerospike Graph to identify fraud ring.
Follow a “cooking show” style demonstration that walks through the data model setup and queries to uncover hidden fraud patterns with Aerospike Graph.

Part 2: Real-time personalization & recommendations with Aerospike Cloud

Learn how to deliver smarter, faster, and more personalized user experiences through real-time recommendations.

In this session, you’ll:

Explore an eCommerce dataset with embedded recommendation features.
Design and run recommendation pipelines using Aerospike Cloud.
See a dynamic, vibe-coded UI that illustrates how the recommendations improve as more data is queried in real-time and combined with the ML model

Bonus Module: Aerospike Cloud APIs for scalable integrations

Join us as we share the APIs for integrating Aerospike Cloud with your enterprise infrastructure, enabling you to drive mission-critical workloads and use cases.

Who should attend

Software engineers, data scientists, architects, and technical decision-makers interested in:

Deploying real-time data processing and fraud detection.
Building AI-driven personalization and recommendation systems.
Upgrading data infrastructure to support higher throughput, lower latency, and higher reliability at a fraction of the cost of ownership compared to other databases such as MongoDB, Redis, Cassandra, Couchbase, and ScyllaDB.