Training Data MongoDB’s Sahir Azam: Vector Databases and the Data Structure of AI
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Feb 13, 2025 Sahir Azam, a product and growth leader at MongoDB, discusses the evolution of vector databases and their critical role in AI applications. He explores how the combination of vectors, graphs, and traditional data structures enhances software development and supports advanced AI capabilities. Azam shares insights from MongoDB’s cloud transformation and advocates for democratizing AI development, making sophisticated tools accessible to mainstream developers. He also highlights innovative applications of AI in robotics and the automotive and pharmaceutical industries.
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AI's Impact on Software and Databases
- AI is transforming software development by enabling new applications and interactions.
- This shift impacts how databases must evolve to support these AI-driven applications.
AI-Powered Car Diagnostics
- Sahir Azam shared how a European automaker uses AI to diagnose car problems.
- By matching sounds to known issues, they reduced diagnostic time from hours to seconds.
AI-Driven CSR Drafting
- Novo Nordisk uses AI to draft clinical study reports (CSRs) in minutes, not hours.
- This improves the initial draft quality and offers significant ROI savings.