Modern enterprises face a critical paradox: despite processing billions of records and building sophisticated data infrastructure, business users often remain trapped in manual spreadsheets and wait days for simple insights. I solved this challenge by implementing agentic AI on top of an AWS data pipeline processing 45 billion records per month, enabling over 2,000 users across 37 teams to perform autonomous natural language analysis. This implementation achieved 25-40% productivity gains and a 60% reduction in time-to-insight. This talk explores the evolution from traditional BI dashboards to AI copilots and fully autonomous agents, demonstrating how agentic AI transforms data accessibility and shifts data teams from report factories to strategic partners.
Srinivas Pochincharla is a Senior Technical Program Manager at AWS, focused on building and scaling large enterprise data platforms. He specializes in data architecture and agile program delivery, leading initiatives like high-volume data pipelines that process billions of records to support cost allocation and forecasting.
