Title of the Talk
Agentic AI and MCP Revolution For Enterprise Data Movement
Abstract
Enterprise data movement has long been trapped in a reactive paradigm human-configured, human-monitored, and human-fixed. Despite decades of technological progress, Managed File Transfer (MFT) operations still demand constant human intervention, measuring incident resolution in hours rather than minutes. Intelligence in Transit presents a transformative vision: what if AI could understand not just the error code, but the business context behind a failed transfer and resolve it autonomously in seconds? Drawing on over fifteen years of hands-on enterprise integration experience, the author charts a definitive path from traditional MFT to fully intelligent, self-healing data pipelines. At the heart of this transformation is the Model Context Protocol (MCP), the missing link between AI reasoning and enterprise system integration. The book introduces readers to Agentic AI, autonomous AI systems capable of planning, reasoning, and acting within complex enterprise environments, and demonstrates how these technologies can be combined to build pipelines that heal themselves, onboard partners in hours, and automate compliance continuously. Spanning five parts and twenty-one chapters, the book delivers end-to-end coverage: from foundational concepts of Agentic AI and MCP, through architectural design patterns and cloud infrastructure on Google Cloud Platform, to full production implementation with multi-agent orchestration, predictive analytics, and governance automation. Packed with production-ready code, battle-tested architecture blueprints, and real-world operational playbooks, Intelligence in Transit is both a strategic guide for IT leaders and a hands-on technical companion for architects and engineers. The future it describes — where pipelines are intelligent, intentional, and autonomous is not theoretical. It is achievable today.
Brief Profile
Raghava Chellu is a distinguished innovation technologist based in Atlanta, Georgia, USA with over fifteen years of experience in enterprise IT, specializing at the intersection of Managed File Transfer, Agentic AI, cloud architecture, and cybersecurity. He currently serves as a Support Engineer - Specialist at Equifax Inc., where he leads the design and implementation of next-generation intelligent data movement solutions. A prolific researcher, Raghava has contributed peer-reviewed publications to Springer, Elsevier, IEEE, and Scopus-indexed venues, bridging academic research with real-world enterprise implementation. He is the author of multiple books, including Next-Gen Managed File Transfer: Securing and Streamlining Data Flows with AI and Enterprise Managed File Transfer Security: Mastering PKI and Compliance Best Practices. Raghava is a sought-after international keynote and invited speaker, having presented at the IEEE World Conference on Applied Intelligence and Computing (AIC 2025), ICAIN Dubai International Conference, IIETM 2025, ICTAIDACS 2025, the University of Maryland (UMBC), and Kennesaw State University, among others. His accomplishments have been recognized with prestigious honors including the IEEE Industry Excellence Award, the Global Leadership Award (ICCCNet 2025), and the Global Pioneering Excellence Award (ICAIN 2025) for extraordinary work in Quantum-Safe Cloud and NanoSecure Data Exchange. Raghavas areas of expertise span Agentic AI Systems, MFT, Cloud Architecture (GCP), Enterprise Integration Cybersecurity & Cryptography, Predictive Analytics, and DevSecOps.