Join our engaging session on "Uber's Surge Pricing: How AI Adjusts Prices Based on Demand" and uncover the AI techniques behind Uber's dynamic pricing model. Learn how algorithms assess real-time data to adjust fares according to demand fluctuations, ensuring optimal availability and pricing. Through real-world examples, you’ll understand the mechanisms that balance supply and demand, benefiting both drivers and riders. Whether you're looking to build a career in data and AI or are just an AI enthusiast, this session provides valuable insights and practical knowledge. Don’t miss the chance to interact with an industry expert and deepen your understanding of AI-driven pricing strategies.
Agenda for the session
- How Uber's Pricing AI Works
- Algorithm behind AI-driven pricing
- MIT PE's Applied Data Science Program
- Live Q&A
About Speakers
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Angel Das
Data Science 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 problems.
MIT Professional Education's Applied Data Science Program
The Applied 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 Machine Learning, Deep Learning, Recommendation Systems, and more, it prepares you to be an important part of data science efforts at any organization.
