Building a Real-Time Context Engine w/ Redis

AI agent demos are easy to build. Building agents that work reliably in production is much harder. Enterprise agents need access to the right business context, fresh operational data, and relevant memory, all while meeting latency and cost constraints. Explore why context has become a key challenge in production AI systems and get hands-on with the Redis Iris platform. Examine topics such as retrieval, memory, real-time data access, and low-latency inference, and discuss the design considerations behind deploying reliable AI agents in enterprise environments. Learn more about: ⚠️Some Important Notes 🧑‍💻Facilitated by Joo Bin & Hillary (Redis) Joobin Lim is an Applied AI Engineer at Redis, specializing in building AI-driven integrations that power real-world applications. They are passionate about AI’s potential to drive innovation and redefine what modern software can do—especially when it comes to building systems that go beyond demos and deliver real value when it matters most. Hillary Toh is an Applied AI Engineer at Redis with a background spanning offshore financial services, data engineering, and artificial intelligence. After five years in front-office financial roles, she transitioned into Data Engineering in 2021 and AI Engineering in 2024. She is currently pursuing a Master's degree in Analytics, reflecting her commitment to continuous professional development. ​🤗More About the Series Tinker Time is Lorong AI's hands-on meetup combining guided workshops with open collaboration time for builders to share code, troubleshoot together, and experiment with AI development techniques. Get involved: Learn more about Lorong AI | Speaker Sign-up | WhatsApp Community | LinkedIn | X