Kumar Sambhav Singh

Data is the backbone of Generative AI, yet traditional architectures struggle to meet the complex and dynamic demands of modern AI workflows. My talk will delve into cutting-edge data engineering approaches, including real-time streaming, distributed feature stores, and leveraging vector databases to handle the complexities of unstructured data. In addition, my talk will explore the critical roles of data management and governance in ensuring data quality, compliance, and security across the AI lifecycle. Attendees will gain valuable insights into the design and implementation of robust data and AI governance frameworks—critical for maintaining data accuracy, reliability, and accessibility while adhering to industry regulations and organizational policies. These frameworks are essential for enabling organizations to develop AI systems that are both high-performing and responsibly governed.