Invited Speakers

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 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.

Arjun Shivarudraiah is a Senior Software Engineer at Meijer with 10+ years of experience translating cloud computing research into enterprise-scale implementations. His expertise spans distributed systems, cloud-native architecture, and applied research, with a focus on designing reliable and scalable platforms for large organizations.

Title of talk: Bridging Cloud Computing Research and Real-World Enterprise System Design.

This talk examines how cloud computing research concepts are translated into real-world enterprise system designs. It highlights practical adaptations required for scale, cost control, and operational risk, and discusses lessons learned from applying research-driven architectural principles in production-grade enterprise environments.

Yalamanchili Ravi Krishna is a QA Data Analyst and a Ph.D. candidate in Data Science at the University of the Cumberlands. He has professional experience in data engineering, quality assurance, and cloud-based data platform development, particularly within the healthcare domain. He works extensively with Microsoft Azure technologies, including Azure Data Factory, Azure SQL, and Databricks, contributing to the development, validation, and optimization of ETL pipelines and enterprise data solutions. He supports data integration, transformation processes, performance tuning, and enterprise data validation to ensure data accuracy, integrity, and regulatory compliance. He is actively involved in designing and validating data workflows, supporting modern data warehouse architectures (Bronze, Silver, and Gold layers), and collaborating with cross-functional teams to deliver scalable cloud-based analytics solutions. His research interests include Data Quality Management, Information Governance, Artificial Intelligence in Healthcare, Responsible AI, Cloud Data Engineering, and Data-Driven Decision Making. He is particularly focused on leveraging AI and advanced analytics to improve healthcare systems while maintaining strong governance and ethical standards.

Akshay Kumar Darla is a Sr. Software Engineer at Tata Consultancy Services and holds a Master’s degree in Computer Science from Western Illinois University. He plays a key technical role supporting and modernizing enterprise insurance platforms for Pacific Life, helping resolve complex production issues and develop scalable solutions. He works with Java/J2EE, Spring microservices, WebSphere, REST and SOAP services, and Agile delivery practices. His expertise spans data engineering, building Kafka-based data pipelines, Cassandra and SQL databases, and system integration using JSON and XML. He also supports AWS cloud deployments and monitoring. Akshay applies AI-assisted testing, automation, and intelligent monitoring to improve reliability, security, and data-driven decision-making in enterprise systems.