Building Responsible AI: From Research to Real-World Impact in Healthcare & Finance

Dr. Swati Tyagi is an AI and machine learning professional with experience across research and industry, focused on building reliable, production-ready AI and large language model systems. Her work centers on AI evaluation, governance, and responsible deployment at scale. She is also an active speaker, known for bridging advanced AI capabilities with real-world enterprise needs. In this episode... As generative AI becomes more powerful and widely adopted, issues like hallucinations, bias, and unsafe deployment are becoming harder to ignore, especially in high-stakes industries like healthcare and financial services. How can organizations build AI systems that are innovative, yet reliable and responsible? Dr. Swati Tyagi, an AI and machine learning professional with experience across research and enterprise, explains why evaluation, governance, and guardrails are essential for real-world AI. She breaks down how hallucinations occur, where bias is introduced during model training, and why GenAI must follow the same rigor as traditional machine learning before reaching production. In this episode of Lessons From The Leap, Ghazenfer Mansoor sits down with Dr. Swati Tyagi to discuss responsible AI, LLMs, RAG, Graph RAG, and the challenges of moving AI from experimentation to production. Dr. Swati also shares advice for young professionals, especially women, looking to build meaningful careers in AI.