Hold my beer; I know how to fix this with AI!
Proposed session for SQLBits 2026TL; DR
Many proof-of-concept AI apps fail in production because industries favor clarity over overwhelming chat suggestions. This session will help you understand what companies look for and explore the accessible Microsoft AI technologies.
Session Details
Many proof-of-concept AI applications fail to reach production because industries do not find value in copilot-like applications.
Companies seek clarity and focus, not an overwhelming barrage of chat applications bombarding decision-makers with countless suggestions or summarizations.
This session will help you connect the dots in the AI puzzle using Microsoft technologies, including the new open-source database, DocumentDB. We will examine vector stores, the RAG pattern, and multi-agent frameworks and learn how to implement these technologies in applications.
By the end of this session, you will have all the practical information necessary to integrate AI features into your projects.
Companies seek clarity and focus, not an overwhelming barrage of chat applications bombarding decision-makers with countless suggestions or summarizations.
This session will help you connect the dots in the AI puzzle using Microsoft technologies, including the new open-source database, DocumentDB. We will examine vector stores, the RAG pattern, and multi-agent frameworks and learn how to implement these technologies in applications.
By the end of this session, you will have all the practical information necessary to integrate AI features into your projects.
3 things you'll get out of this session
What are the expectations of companies from AI?
Challenges of Vector Store
Why AI isn't prepared to make business decisions.
Speakers
Hasan Savran's other proposed sessions for 2026
Azure Cosmos DB Live: C# Edition - 2026
Data modeling strategies in NoSQL databases - 2026
How much SQL do you need to know as a developer? - 2026
Hasan Savran's previous sessions
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