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What’s new in search, observability, and vector databases with OpenSearch Service

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Carl Meadows, Director of Product with Amazon Web Services
Mukul Karnik, ​Director of OpenSearch at Amazon Web Services
Corey Nolet, Principal Architect at Nvidia

Discover the latest Amazon OpenSearch Service launches and capabilities that enable and quickly deploy agentic AI applications and vector search operations. Learn how new integrations with Amazon Q enable intelligent data discovery and automated insights, while enhanced Amazon S3 connectivity streamlines data management. This session showcases how our latest vector database optimizations accelerate AI/ML workloads for efficient development of agentic AI, semantic search, and recommendation systems. We’ll demonstrate new cost optimization features and performance enhancements across all OpenSearch use cases, including significant updates to Observability. Whether you’re building next-generation AI applications or scaling your existing search infrastructure, join us for a comprehensive update on new launches and releases that can transform your search and analytics capabilities.

Speakers

​Jon Handler

Carl Meadows

Carl Meadows is Director of Product Management at AWS and is responsible for Amazon Elasticsearch Service, OpenSearch, Open Distro for Elasticsearch, and Amazon CloudSearch. Carl has been with Amazon Elasticsearch Service since before it was launched in 2015.

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Corey Nolet

Corey is a principal architect for vector search, data mining, and classical ML libraries at NVIDIA, where he focuses on building and scaling algorithms to support extreme data loads at light speed. Prior to joining NVIDIA in 2018, Corey spent many years building massive-scale exploratory data science & real-time analytics platforms for big data and HPC environments in the defense industry.

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Mukul Karnik

Director of OpenSearch AWS

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