Mr. Karthikeyan Selvarajan

From Data to Decisions: Architecting Scalable Intelligence in the Age of AI

Abstract:

In today’s data-driven world, the path from raw information to impactful decision-making is no longer linear—it’s dynamic, distributed, and powered by artificial intelligence. This talk explores the architectural and strategic foundations required to build intelligent systems that scale with data, adapt in real time, and operate across hybrid cloud ecosystems. Drawing from real-world implementations across sectors like finance, cybersecurity, and enterprise infrastructure, we’ll examine how to design resilient data platforms that can ingest, process, and learn from billions of events per day. Key focus areas include building cloud-native ETL pipelines, integrating AI/ML into decision workflows, leveraging vector databases for GenAI, and optimizing cost and performance at scale. Attendees will gain insights into bridging traditional data engineering with modern AI paradigms—including Retrieval-Augmented Generation (RAG), real-time analytics, and human-in-the-loop systems—while balancing governance, observability, and agility. Whether you’re a researcher, practitioner, or technology leader, this session offers a roadmap to move from data chaos to intelligent orchestration, unlocking true business and scientific value

Profile:

Karthikeyan is a seasoned technology leader specializing in AI-powered analytics, cloud infrastructure, and large-scale data platforms. At Zscaler, he leads the development of scalable, cloud-native systems that process over 500 trillion signals daily—delivering real-time insights into SaaS usage, digital experience, and workplace optimization. With deep expertise in cloud platforms, Kubernetes, AI/ML, and modern data architectures, he has driven impactful innovations across cybersecurity, fintech, and enterprise data domains. A passionate advocate for data-driven decision-making, he bridges the gap between traditional engineering and cutting-edge AI to enable resilient, intelligent systems at global scale.