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Tech Talk: Building an AI-Ready Data Backbone
Speaker: Dmitry Kan (Aiven) ![]()
Abstract: In the era of Generative AI, the true differentiator for successful application deployment isn't the model—it's the underlying data infrastructure. Many enterprises struggle to transition from siloed, legacy data platforms to a scalable, real-time data backbone capable of fueling modern AI and search applications.
This webinar will dive into the essential components of building a robust, AI-ready data foundation, focusing specifically on leveraging the power of Aiven for OpenSearch integrated with Google Cloud. Attendees will learn practical strategies for establishing a unified data platform that supports high-velocity indexing, advanced vector search, and multimodal data storage.
We will explore how to seamlessly ingest, process, and enrich data streams on Google Cloud, ensuring your data is clean, secure, and immediately accessible for AI workloads. Discover how this powerful combination accelerates your time-to-value for RAG (Retrieval-Augmented Generation) architectures, intelligent search, and operational analytics, transforming your data from a cost center into a core competitive advantage.
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virtual, join from anywhere.