Invited Speakers

Bhargava Varma Konduru

Bhargava Varma Konduru

Sr. Product Manager, Analytics, 10+ Years, Amazon
Email: kbhargavvarma@gmail.com

Bhargava Varma Konduru is an accomplished Product Analytics Executive specializing in converting complex data ecosystems into strategic business solutions at Amazon. With proven expertise in driving enterprise-wide analytics and developing comprehensive BI roadmaps, he has a track record of implementing scalable analytics platforms that deliver measurable business value and strategic advantage. His work spans financial planning, operational excellence, revenue growth and customer acquisition across multiple business verticals.

Title of talk: Leveraging Model Context Protocol (MCP) for Real-Time Executive Narratives.

This talk explores the impact of Model Context Protocol (MCP) and Generative AI on Business intelligence. We demonstrate how MCP enables AI agents to securely and dynamically access enterprise data, slashing narrative synthesis time from hours to minutes. This fosters rapid, data-driven oversight for industrial operations and accelerated decision-making.

Prashanthi Gutha

Prashanthi Gutha

Digital Software Engineering Lead,15+ Years, Citi
Email: prashanthig2020@gmail.com

Prashanthi Gutha is a Vice President - Digital Software Engineering Lead at Citi, specializing in the design of secure, scalable, cloud-native enterprise systems for highly regulated environments. She has also worked in the healthcare sector at Verana Health, contributing to data-driven platforms for clinical research and real‑world evidence generation. Her expertise includes distributed systems, microservices architectures, cybersecurity, and data governance for mission-critical, industrial-scale applications.

Title of talk: From Predictive to Autonomous: The Rise of Agentic AI in Industrial Intelligence.

Agentic AI is redefining Industrial Intelligence by moving beyond prediction toward autonomous reasoning, decision‑making, and action. This talk outlines the shift from traditional AI pipelines to agent‑based architectures, showing how self‑optimizing, explainable, and human‑aligned systems enable autonomous maintenance, quality, and process optimization across complex industrial environments.