Cover Image for Building Resilient AI Infrastructure: Deep Dive Zilliz Cloud's New Production-Ready Features

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meetups for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs. This meetup is sponsored by Zilliz.

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Building Resilient AI Infrastructure: Deep Dive Zilliz Cloud's New Production-Ready Features

Unstructured Data Meetup

Zoom

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About this webinar

As AI applications move from experimentation to production, developers and technical leaders face new challenges in managing vector databases at scale. This webinar introduces Zilliz Cloud's latest features designed to address these challenges head-on, enabling you to build and maintain robust, efficient AI infrastructure. Join us to explore how these new capabilities can solve common problems in AI infrastructure management.

Topics covered

Implement seamless data migration and recovery strategies, ensuring data portability and eliminating vendor lock-in
Streamline integration of unstructured data from diverse sources, enhancing the breadth and depth of your AI models
Optimize query performance and system availability for high-traffic AI applications
Automate resource allocation to handle variable workloads efficiently
Achieve enterprise-grade reliability and monitoring for mission-critical AI systems

Through technical demonstrations and real-world use cases, you'll gain practical insights into leveraging these features to overcome bottlenecks, enhance system resilience, and accelerate your AI initiatives.

Speaker: Jiang Chen, Head of Ecosystem & Developer Relations