What happens when traditional data science meets the creative power of Generative AI? You get smarter systems that don’t just analyze data—they recommend, predict, and even create solutions. Join us for an engaging session that explores how these two worlds come together to drive real business outcomes.
We will break down how data pipelines, machine learning models, and GenAI tools like LLMs can work hand-in-hand to automate insights, enhance decision-making, and unlock new possibilities across functions. Through practical examples and real-world use cases, you will learn how to move from experimentation to impact. Whether you are a data professional or an AI enthusiast, this session will help you design AI systems that actually deliver results—not just outputs.
Agenda for the session
- Integrating Data Science with GenAI
- Designing Decision-Driven AI Systems
- MIT Professional Education's Applied AI and Data Science Program
- Live Q&A
About Speakers
Angel Das
Senior Consultant, IQVIA Asia Pacific
Angel Das is an advanced analytics professional who helps companies find solutions for various problems through a mix of business, technology, and math on organizational data. He has experience establishing relationships with Fortune 500 clients in a white box and collaborative manner to improve the art of problem-solving for constantly shifting and ill-defined business problem.
MIT Professional Education's Applied AI and Data Science Program
The Applied AI and Data Science Program curriculum has been carefully crafted by MIT faculty to provide you with the skills, knowledge, and confidence you need to flourish in the industry. By encompassing the most business-relevant technologies, such as AI, Machine Learning, Deep Learning, Recommendation Systems, and more, it prepares you to be an important part of AI and data science efforts at any organization.
