Fireside Chat With Qdrant: How Vector Stores Improve Analytics

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Description

In this GoodData Qdrant Fireside Chat, Jacek Soubusta, Field CTO at GoodData, and Kacper Łukawski, Senior Developer Advocate at Qdrant, dive into the world of vector databases and semantic search.

They explore:

🔥 Why specialized tools like Qdrant outperform traditional databases.

🔥 How GoodData leverages semantic search to power AI-driven analytics.

🔥 And the future role of vector search in enabling AI assistants and natural language interfaces.

From technical deep dives into efficiency, scalability, and multilingual support to visionary discussions on AI’s future in analytics, this conversation offers valuable insights for data engineers, developers, and product leaders alike.

Meet the speakers

Jan Soubusta

Field CTO in Engineering, GoodData

As Field CTO at GoodData, Jan brings over a decade of experience in backend systems, databases, and cloud-native architectures. His background spans data warehouse operations, large-scale platform engineering, and applied generative AI. Jan has led multiple major long-term projects at GoodData, including the delivery of our data warehouse-as-a-service built on Vertica as well as the ground-up design and development of our next-generation analytics platform. Today, he splits his time between driving product innovation (particularly in the area of AI assisted BI) and representing GoodData in the field — through conferences, articles, and conversations with customers and partners.