
Rahul Pathak, Hasik Shetty
AI Architect; Principal Data Scientist
About
Rahul Pathak is an Applied AI Architect specializing in enterprise generative AI, agentic systems, and data platforms. He helps organizations design and deploy production-ready AI solutions that deliver measurable business outcomes while meeting governance, security, and scalability requirements. Rahul has worked with leading enterprises across financial services, insurance, and the public sector, and is passionate about bridging the gap between cutting-edge AI innovation and real-world adoption. He is also a frequent speaker on enterprise AI, data strategy, and the future of intelligent agents.Hasik Shetty is a Principal Data Scientist specialising in quantitative modelling, agentic systems, and production-grade machine learning, with deep expertise across asset management and the creator economy. He has spent eight years building and deploying end-to-end AI products that turn complex data into real business decisions, from asset forecasting platforms to multi-model LLM systems serving institutional investors and large-scale content creators. A published author and public speaker, Hasik is passionate about bridging the gap between cutting-edge AI and measurable real-world impact.
Talk
Rahul Pathak, Hasik Shetty | From Data to Decisions: Building and Deploying AI Agents in Production
AI Agents, Production AI, Context Engineering, RAG, LLMOps, Data Governance
<p>As organizations adopt AI agents to automate complex workflows and decision-making, the conversation is shifting from model selection to data strategy. In this session, Rahul Pathak explores why data is the true foundation of production-ready AI agents. He will discuss how data quality, governance, retrieval, and evaluation directly impact an agent’s accuracy, reliability, and business value. Through practical enterprise examples, attendees will learn how to build trustworthy AI agents, avoid common pitfalls, and successfully deploy agentic systems in production while balancing performance, security, and scalability.</p>
2026-11-27
13:00
13:50