Sahir Azam

Sahir Azam, Chief Product Officer at MongoDB, has been pivotal in launching MongoDB Atlas and scaling the cloud business. In this conversation, he discusses the transition from traditional databases to modern systems driven by AI. Sahir highlights how new architectures enhance developer productivity and simplify operations. He also delves into the challenges of data silos, the shift to cloud services, and the transformative impact of generative AI on software development, emphasizing the need for constant adaptation in a rapidly changing landscape.

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.