What if your AI agents could remember, learn and collaborate at lightning speed? Discover how Azure Managed Redis, Mem0, and Agent Framework turn stateless agents into intelligent systems. Redis enables real-time collaboration, long-term learning, and semantic routing. Mem0 adds persistent memory across sessions, while Agent Framework powers reasoning and planning. Together, they build smarter, scalable multi-agent systems ready for any domain.

Join this session to learn about Amazon MemoryDB Multi-Region, an active-active, multi-Region database providing up to 99.999% availability and increased application resiliency. Amazon MemoryDB is a Valkey- and Redis OSS-compatible, durable, in-memory database service with microsecond read and single-digit millisecond write latency and high throughput. In this session, deep dive into the innovative architecture of MemoryDB Multi-Region, showing how it can improve your applications’ resiliency to support your end users across the globe. Explore use cases that will benefit most from MemoryDB Multi-Region.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2024

Discover the future of AI optimization! AI is revolutionizing businesses, but scaling AI from proof-of-concept to production uncovers challenges in cost and performance. Enter ""semantic caching,"" a game-changer that reduces LLM costs while boosting response times. This session covers Azure Managed Redis as a vector database, its use as a semantic cache for Azure OpenAI Service, and more! Learn best practices and real-world examples to supercharge your GenAI apps with Azure Managed Redis.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Balan Subramanian * Kyle Teegarden

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK206 | English (US) | Data

MSIgnite

Introducing Azure Managed Redis, a fully managed, hyperscale-ready Redis solution that integrates the latest Redis innovations. It delivers up to 99.999% availability while ensuring a cost-effective total cost of ownership. With advanced features available across all four tiers, it empowers users to optimize key use cases like vector similarity search, session management, and pub/sub messaging. Join our session with product leaders to discover best practices and learn how to get started today.

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Scott Hunter * Benjamin Renaud

𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK189 | English (US) | Data

MSIgnite

Big Data Europe Onsite and online on 22-25 November in 2022 Learn more about the conference: https://bit.ly/3BlUk9q

Join our next Big Data Europe conference on 22-25 November in 2022 where you will be able to learn from global experts giving technical talks and hand-on workshops in the fields of Big Data, High Load, Data Science, Machine Learning and AI. This time, the conference will be held in a hybrid setting allowing you to attend workshops and listen to expert talks on-site or online.

Dive deep into the world of high-performance architecture with Ravi Bhatt as he unveils the secrets of achieving millions of operations per second and handling massive data influx! 🚀💾 Explore cloud-native strategies using Memorystore Redis and Cloud Functions, and discover optimization techniques for PoCs, System Design, or sheer curiosity. 💻📈 #HighPerformance #architecture

✨ H I G H L I G H T S ✨

🙌 A huge shoutout to all the incredible participants who made Big Data Conference Europe 2023 in Vilnius, Lithuania, from November 21-24, an absolute triumph! 🎉 Your attendance and active participation were instrumental in making this event so special. 🌍

Don't forget to check out the session recordings from the conference to relive the valuable insights and knowledge shared! 📽️

Once again, THANK YOU for playing a pivotal role in the success of Big Data Conference Europe 2023. 🚀 See you next year for another unforgettable conference! 📅 #BigDataConference #SeeYouNextYear

As more applications harness the power of real-time data, it’s important to architect and implement a data stack to meet the broad requirements of operational ML and be able to seamlessly integrate neural embeddings into applications.

Real-time ML requires more than just deploying ML models to production using MLOps tooling; it requires a fast and scalable operational database that easily integrates into the MLOps workflow. Milliseconds matter and can make the difference in delivering fast online predictions whether it’s personalized recommendations, detecting fraud, or figuring out the most optimal food delivery route.

Attend this session to explore how a modern data stack can be used for real-time operational ML and building AI-infused applications. The session will over the following topics:

Emerging architectural components for operational ML such as the online feature store for real-time serving.

Operational excellence in managing globally distributed ML data and feature pipelines

Foundational data types of Redis including the representation of data using vector embeddings.

Using Redis as a vector database to build vector similarity search applications.

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Big Data Europe Onsite and online on 22-25 November in 2022 Learn more about the conference: https://bit.ly/3BlUk9q

Join our next Big Data Europe conference on 22-25 November in 2022 where you will be able to learn from global experts giving technical talks and hand-on workshops in the fields of Big Data, High Load, Data Science, Machine Learning and AI. This time, the conference will be held in a hybrid setting allowing you to attend workshops and listen to expert talks on-site or online.