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Vector Similarity Search


Let’s face it, the challenge of search today is indexing billions of entries while delivering relevant results quickly. Traditional keyword-based methods have limitations, leaving us searching for a better way to improve search. But what if we could use deep learning to revolutionize search? Imagine representing data as vectors, where the distance between vectors reflects similarity, and using Vector Similarity Search algorithms to search billions of vectors in milliseconds. It’s the future of search, and it can transform text, multimedia, images, recommendations, and more. You won’t want to miss our panel discussion, where we’ll share how you can incorporate vector search into your own applications to harness deep learning insights at scale. Come join us and revolutionize search as we know it!

Speakers and Panelists

Instructor Sam Partee from Redis, guiding participants through the LLM Bootcamp.
Sam Partee

Principal Applied AI Engineer at Redis

Sam is a Principal Engineer who helps guide the direction of AI efforts within Redis. Sam assists customers and partners deploying Redis in ML pipelines for feature storage, search, and inference workloads. His background is in high performance computing and machine learning systems.
Harmke Alkemade | Future of Data and AI
Harmke Alkemade

AI Cloud Solution Architect at Microsoft

Harmke Alkemade is a Specialized AI Cloud Solution Architect at Microsoft, working in a global team that supports customers in various industries to use Azure services for high impact AI use-cases. Previously, she worked as a Cloud Solution Architect for Microsoft Netherlands in the Data&AI domain.
Jacky Koh | Future of Data and AI
Jacky Koh

Founder at Relevance AI

Jacky Koh is the founder of Relevance AI, a low-code platform to help everyone analyze unstructured data 10x faster with embeddings and large language models. Previous to Relevance, Jacky was an app builder and award-winning data scientist, leading teams to deploy impactful machine learning algorithms.
Daniel Svonava | Future of Data and AI Speaker
Daniel Svonava
Co-Founder at Superlinked
Daniel is the CEO at Superlinked – an infrastructure product that helps evaluate, launch and operate real-time ML personalization for consumer apps. Previously, Daniel was a tech lead at YouTube where he built user modeling and ad performance prediction systems that guide the purchase process for $10B+.
Bob Luijt | Future of Data and AI Speaker
Bob van Luijt

CEO & Co-Founder at Weaviate

Bob van Luijt, CEO and Co-Founder of Weaviate, an open-source vector search engine. At just 15 years of age, Bob started his own software company in the Netherlands. He went on to study music at ArtEZ University of the Arts and Berklee College of Music, and completed the Harvard Business School Program.

We are coming back!

Join us for the second season of the Future of Data and AI conference in the summer of 2023, after our successful first conference with 10,000+ registered attendees. Fill out the form to participate.

Future of Data & AI