AI models are powerful—but the real value shows up when they drive smarter, faster decisions in the real world. Join us for an engaging session that focuses on turning analytics into action and insights into outcomes.
We will walk through how AI and machine learning move beyond experimentation to solve practical business problems—forecasting demand, optimizing operations, managing risk, and improving customer experiences. With clear concepts, relatable examples, and real-world applications, you will see how to bridge the gap between building models and creating measurable impact. Whether you’re exploring AI or looking to apply it more strategically, this session will help you make AI truly work for you.
Agenda for the session
- From Models to Outcomes
- AI-Driven Decision Frameworks
- MIT Professional Education's Applied AI and Data Science Program
- Live Q&A
About Speakers
Nitin Sethi
Project Manager - Data Science & AI
Nitin Sethi is a data science and analytics professional with more than 15 years of experience in building advanced analytical models with Python and SPSS. Currently working as a Project Manager - Data Science & AI, Nitin has extensive experience using analytics and data science to solve problems across various industries.
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.
