Itamar Syn-Hershko
Learn how MyPart revolutionized song search by using vector embeddings, and how to implement efficient Vector Search with OpenSearch yourself.
Struggling to find the perfect song for your next TV/film project, ad campaign, or DJ set? In this webinar replay, join tech industry veteran Kris Jenkins, MyPart's CEO and Chief Architect Matan Kollenscher, and Itamar Syn-Hershko, CTO and Founder of BigData Boutique, to learn how MyPart revolutionized song search using Vector Embedding and OpenSearch.
From Art to Science: Vectorizing Music for Intelligent Search
The webinar explored MyPart's unique use case and multi-dimensional approach. We learned how MyPart breaks down music into its core components – sounds, lyrics, and musical composition – and translates them into vectors, a format computers can understand. This allows MyPart to store this information in a Vector Database, enabling lightning-fast and accurate searches across massive music libraries.
A Deep Dive into OpenSearch and Vector Search
The session then delved into the fascinating realm of Vector Search with OpenSearch. We discovered how Machine Learning techniques empower a variety of projects, and gained insights into how OpenSearch simplifies and streamlines vector data searches. Attendees learned about:
- The power of vector embeddings and search algorithms
- Real-world applications of Vector Search
- Unlocking OpenSearch's vector search capabilities
- Identifying and overcoming common roadblocks
AI Unveils the Science Behind Music Selection
The webinar equipped attendees with the knowledge of how AI can revolutionize their business. We explored how K-Nearest Neighbors (KNN) algorithms navigate a vector database, and witnessed how technology transforms the art of music selection into a data-driven science.
If you're tired of digging through endless music libraries, the BigData Boutique webinar recording is a must-watch! Discover the magic of MyPart's AI-powered search with OpenSearch and find the perfect song every time.
