Gopalakrishnan Marimuthu

Agentic AI architectures—multi-agent systems that perceive, reason, and act within enterprise environments

Abstract:

The evolution of intelligent systems is entering a transformative phase, where artificial intelligence is no longer limited to prediction and automation, but is increasingly capable of reasoning, coordination, and autonomous decision-making. As enterprises adopt large-scale AI solutions, the focus is shifting from isolated machine learning models toward integrated, agentic AI systems that operate across complex workflows.
This keynote explores the emergence of Agentic AI architectures—multi-agent systems that perceive, reason, and act within enterprise environments. These systems leverage cloud-native platforms, real-time data pipelines, and generative AI capabilities to move beyond traditional automation toward autonomous enterprise operations.

Drawing from real-world enterprise scenarios in supply chain, cloud platforms, and intelligent automation, the session will highlight how organizations can design scalable AI-driven systems that integrate structured and unstructured data, enable adaptive workflows, and deliver continuous decision intelligence.

The keynote will also address critical challenges in deploying such systems at scale, including trust, governance, security, and explainability. As AI systems gain autonomy, ensuring reliability and transparency becomes essential for enterprise adoption.

Attendees will gain insights into the architectural patterns, design principles, and future directions shaping the next generation of intelligent machines—where AI evolves from a supporting tool to a core operational layer of modern enterprise systems.

Profile:

Gopalakrishnan Marimuthu is a Cloud Architect and AI Systems Researcher based in Atlanta, GA, currently serving as a Cloud Application Architect at Amazon Web Services (AWS). With 19+ years of experience delivering large-scale enterprise platforms across telecommunications, banking, finance, and logistics, he specializes in cloud modernization, distributed systems, agentic AI architectures, generative AI–driven enterprise automation, and data lineage intelligence. He holds 13 AWS certifications — including Professional and Specialty credentials across Solutions Architecture, DevOps, Machine Learning, Advanced Networking, and Security — and is the recipient of the prestigious AWS Golden Jacket (2025). A Senior IEEE Member, he serves on the Technical Program Committees of 6 international conferences including CITIC 2026, WInnAI'26, and AI IoT Congress 2026, and has peer-reviewed 52+ technical papers across 24 international conferences and journals. His scholarly work is published in IJCA and IJCSS, focusing on human-AI collaborative systems and adaptive threat detection for 5G cloud infrastructure. He has also served as a judge at the Georgia Tech Spring 2026 Capstone Design Expo and the Kennesaw State University C-Day showcase.