Deepak Saxena
Deepak Saxena
Director, Data Science & Artificial Intelligence, TWG AI
Building Production-Grade AI Platforms for Intelligent Financial Decision-Making
Artificial Intelligence has rapidly evolved from experimental models to mission-critical enterprise systems that support complex decision-making. However, deploying AI successfully in production requires much more than accurate machine learning models. It demands scalable data pipelines, reliable governance, explainable AI, and seamless integration with existing business workflows. This keynote will discuss practical strategies for building production-grade AI platforms for intelligent financial decision-making. Drawing on real-world industry experience, the talk will explore the architecture of modern AI systems, retrieval-augmented generation (RAG), AI agents, knowledge platforms, and large-scale data engineering. It will also examine key challenges including model governance, data quality, scalability, explainability, and responsible AI deployment. The session aims to provide researchers and practitioners with insights into bridging the gap between academic AI innovations and enterprise-scale implementation, demonstrating how intelligent systems can deliver measurable business value while maintaining transparency, reliability, and regulatory compliance.