Leveraging Data Beyond Text: Multi-Modal AI at Scale

Text is only one piece of the data puzzle—images, videos, and other modalities hold massive untapped potential. But scaling multi-modal AI systems that can process, retrieve, and rank these rich data sources is a complex challenge.

In this webinar, we’ll dive into the latest breakthroughs in multi-modal AI at scale. Using Vespa.ai as a backbone, we’ll explore architectures and retrieval strategies that unify text, images, and video into a seamless, high-performance search and discovery experience. Learn how to blend embeddings, vector search, and dynamic filtering to serve diverse content efficiently, unlocking new opportunities for recommendation, moderation, and knowledge extraction.

YOU'LL LEARN

1️⃣ Multi-Modal Architectures: Understand how to integrate text, images, and video embeddings into scalable AI systems for powerful search and retrieval.
2️⃣ Real-Time Performance: Discover strategies for ensuring low-latency retrieval without sacrificing accuracy or relevance, even with high data volumes.
3️⃣Dynamic Filtering & Ranking: Learn best practices for adaptive filtering and ranking to serve personalized and context-aware results.

Panelists to be announced soon

REGISTER HERE