Sai Sandeep Koneti

Title of the Talk:
From Data to Decisions: Engineering Trustworthy Autonomous Enterprise Systems

Abstract :
Enterprise analytics is evolving from systems that explain what happened to systems that increasingly recommend—and eventually execute—what should happen next. 
As organisations adopt AI-driven and autonomous decision capabilities, the challenge is no longer simply building better models; it is ensuring that every decision can be trusted, traced, governed, and validated.
This keynote explores how enterprise analytics engineering can provide the foundation for trustworthy autonomous decision systems. 
It examines the journey from reliable data and semantic context to AI reasoning, decision validation, observability, and governance. 
Drawing on lessons from enterprise-scale analytics environments, the session highlights practical engineering principles organisations can use to move toward autonomous decision-making without sacrificing transparency, reliability, or human accountability.

Bio:
With over 10 years of experience in data engineering and business intelligence, he specialises in designing enterprise-scale data, analytics, and reporting platforms. His expertise spans cloud-native data architecture, reliability engineering, enterprise analytics, and Microsoft technologies. He has led large-scale modernisation initiatives, influenced technical strategy, and mentored global engineering teams. Recognised for delivering scalable, high-impact data solutions, his work has helped organisations enhance operational efficiency, improve platform reliability, and enable data-driven decision-making across complex enterprise environments.