Feature store for real-time decisioning systems in ML & AI
Come take a first look at Feature Form, a solution that helps teams move beyond fragile, stitched-together pipelines and manage features as governed, production-ready assets.
Join to learn how Flex reduces memory costs by up to 75–80% by keeping hot data in RAM and moving less frequently used data to lower-cost storage, while maintaining fast latency. It enables large-scale workloads to stay performant and cost-efficient without requiring application changes.
Data Foundations for Agentic AI: Enabling Context, Memory, and Action
We will be joining Fivetran on May 21 as we cover the data architectures powering agentic AI, from semantic layers and knowledge graphs to vector search, modern data platforms, and real-time pipelines.
Harness your agent: session management, rate limiting, & caching
See how Redis gives APIs, services, and devices a single real-time view of user state for consistent sessions, rate limiting, and cache behavior. We’ll share practical reference architectures for handling traffic spikes, avoiding stale data, and powering low-latency AI workloads.
Join us for an intro to Redis, where you’ll discover what Redis is and where it fits in your application architecture, common use cases, customer success stories, Redis Open Source vs. Enterprise-grade Redis, and more.
