Ever wondered how AI moves beyond dashboards and experiments to actually influence real business decisions? Join us for a practical and engaging session that connects the dots between building models and driving measurable outcomes.

We will explore how organizations use AI and machine learning to solve everyday challenges—optimizing operations, predicting trends, personalizing experiences, and improving strategy. Through relatable examples and real-world use cases, you will learn what it takes to turn data into action and insights into impact. Whether you’re new to AI or looking to apply it more effectively, this webinar will help you think beyond models and focus on results that matter.


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Agenda for the session

  • Translating Models into Decisions
  • Measuring Real Business Impact
  • MIT IDSS's 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.

AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact Program

The AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact Program Program has a curriculum carefully crafted by MIT faculty to provide you with the skills and knowledge to apply AI and data science techniques to help you make AI-driven decisions.

This AI and data science program has been designed for the needs of professionals looking to grow their careers and enhance their AI and data science skills to solve complex business problems. In a relatively short period of time, the program aims to build your understanding of most industry-relevant technologies today such as machine learning, deep learning, network analytics, recommendation systems.

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