Mr. Naveen Edapurath Vijayan

Crowdsourcing Intelligence: How GenAI and Human Expertise Combine to Democratize Data Insights

Abstract:

In the age of exponential data growth, the ability to unlock timely, actionable insights is no longer reserved for data scientists alone. This keynote explores how organizations can harness the power of generative AI alongside expert-sourced query intelligence to democratize access to data across all levels of the enterprise. Drawing from real-world experience building cloud-based analytics platforms, we will examine how crowdsourcing SQL logic from experienced analysts — and enriching it with GenAI-generated summaries, annotations, and guidance — enables less-technical users to derive insights with confidence. This approach not only accelerates onboarding and productivity, but also preserves institutional knowledge and promotes a culture of data-driven decision-making.

Brief Profile:

With over 14 years of technical leadership experience at Amazon and AWS, Naveen Vijayan excels in architecting and implementing enterprise-scale data engineering and machine learning solutions. As Head of Engineering for AWS Central Economics and Science at AWS, he leads mission-critical data architecture and ML operations that directly influence AWS's strategic trajectory and financial outcomes. His innovative approaches have transformed how large organizations leverage analytics, from pioneering predictive AI systems processing trillions of records to revolutionizing employee feedback platforms impacting over a million workers globally. Previously, as a leader in Amazon's Worldwide Operations, he directed multiple engineering teams that delivered enterprise-scale data platforms and automation infrastructures, earning recognition including the prestigious 'Just Do It' award from Jeff Bezos. A Fellow Member of BCS and Sigma Xi, Naveen's expertise spans advanced MLOps, predictive analytics, data analytics modeling and engineering, consistently delivering solutions that drive transformative business impact at unprecedented scale.