Welcome to our webinar exploring one of the most intriguing aspects of the rideshare industry - Uber's Surge Pricing. In this session, we will dive into the fascinating world of how Artificial Intelligence (AI) plays a pivotal role in dynamically adjusting prices based on passenger demand. Join us as we unravel the complexities of Uber's Surge Pricing algorithm and understand how AI drives this intelligent and responsive pricing model.
Agenda for the session
- Overview of Uber's pricing model
- The Role of AI in Surge Pricing
- MIT's Data Science and Machine Learning Program
- Live Q&A
About Speakers
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 create a better art of problem-solving for constantly shifting and ill-defined business problems.
Data Science and Machine Learning: Making Data-Driven Decisions Program
The Data Science and Machine Learning: Making Data-Driven Decisions Program has a curriculum carefully crafted by MIT faculty to provide you with the skills & knowledge to apply data science techniques to help you make data-driven decisions.
This data science program has been designed for the needs of data professionals looking to grow their careers and enhance their 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, graph neural networks, and time series.
