Bridging the gap between theory and practical aspects of AI

In this session, Saurabh Ray shares his journey from mechanical engineering to data science, clarifying common misconceptions about AI, ML, and data science. He introduces AI models ChatGPT and BARD, and discusses developing and deploying AI solutions. Saurabh explains how machine learning models work, the importance of understanding business problems, and the need to hone soft skills for maximum impact. Use cases across industries demonstrate applied AI delivering value in real-world scenarios.

Saurabh Ray is a visionary AI engineer, crafting innovative solutions in machine learning, blockchain, and more. His expertise spans Healthcare, Insurance, and Public Safety domains, positively impacting lives. A certified professional in Azure, AWS, and statistics, Saurabh enjoys mentoring and inspiring future talents. As a speaker and storyteller, he shares insights on research, data science, and tech advancements, inspiring audiences with passion and enthusiasm.