Building AI Databases: Insights on Vector and Graph Solutions by Vishakha Gupta

In this insightful presentation, Vishakha Gupta, CEO of ApertureData, shares her expertise on building specialized databases for machine learning applications. From her experiences at Intel, Vishakha discusses the challenges faced in handling unstructured data types like images and videos within cloud systems and explains the journey of developing a database tailored for machine learning workloads.
Throughout the talk, she delves into the concept of multimodal AI and the complexities of managing diverse data types, using practical examples such as vector databases and metadata filtering. Vishakha also highlights the importance of efficient data handling in AI development, including high throughput vector search, metadata filtering, and maintaining low latency.
Discover how ApertureData's innovative approach is transforming data management for machine learning by integrating multimodal data processing, vector databases, and advanced search capabilities into a unified query engine. This presentation is a must-watch for anyone interested in AI, machine learning, and database technologies!
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