Naga Venkateswar Palaparthy

Platform Engineering for AI Agent Enabled Enterprise Risk Analytics

Abstract:

Enterprise risk management has become a deeply technical discipline shaped by increasing regulatory scrutiny, expanding digital attack surfaces, and rapidly growing data volumes across financial, operational, and cyber domains. Yet many organizations still depend on fragmented, batch-oriented risk systems that reduce responsiveness and limit real-time decision-making. This session presents a platform engineering approach to modernizing enterprise risk analytics using cloud native architecture and AI-driven capabilities, aligned to the emerging shift toward AI agent enabled workflows.
The presentation explains how treating risk analytics as a shared platform capability rather than isolated projects enables consistent delivery of data pipelines, model deployment workflows, and governance controls across the enterprise. Platform engineering principles including reusable infrastructure components, standardized CI/CD pipelines, and integrated security services support faster onboarding of new risk use cases while reducing operational complexity.
AI and machine learning are positioned as core enablers of decision intelligence, supporting predictive modeling, anomaly detection, and real-time risk scoring across multiple risk domains. The session emphasizes operationalizing AI through automated training, monitored inference, and controlled model lifecycle management to maintain accuracy as data patterns evolve.
A key focus is enterprise integration architecture that unifies data from transactional systems, customer platforms, external feeds, and regulatory sources into a cohesive risk data fabric, allowing risk insights to flow directly into business processes. The session concludes with observability and governance as foundational requirements for trust, transparency, and regulatory alignment, offering a practical blueprint for building AI powered, cloud native risk platforms that support continuous risk awareness and resilient decision-making.

Profile:

Naga Venkateswar Palaparthy is a seasoned technology executive and software architect with over 20 years of experience in designing and delivering large-scale, high-performance enterprise systems across various domains, including climate analytics, financial services, insurance, healthcare, social media, banking, and e-commerce. He currently serves as Director of Software Engineering at Moody’s, where he leads the end-to-end engineering lifecycle for mission-critical Climate Analytics platforms, driving innovation, scalability, reliability, and cost optimization.

Throughout his career, Venkat has held senior leadership and principal engineering roles at Moody’s, Risk Management Solutions (RMS), Cognizant, and Microsoft-affiliated projects. He has consistently demonstrated excellence in enterprise architecture, distributed systems, cloud-native solutions, and AI-driven modernization initiatives. His technical expertise spans Java, .NET, AWS, distributed systems, automation, and the integration of AI agents, chatbots, and developer productivity tools into complex enterprise workflows.
Venkat is recognized for building and mentoring high-performing engineering teams, leading agile delivery at scale, and collaborating cross-functionally with product, security, and executive leadership. His work has resulted in significant AWS cost reductions, multiple quality recognitions, and the successful modernization of legacy systems into resilient, future-ready platforms. He holds a Master’s degree in Hydrology Science and a Bachelor’s degree in Computer Science from Andhra University, India