In the ever-evolving landscape of the sharing economy, Airbnb has redefined the way we travel and experience new destinations. One of the key factors that shape this experience is dynamic pricing - a sophisticated approach that optimizes accommodation costs based on a multitude of factors. Whether you're a host looking to maximize your earnings or a guest seeking the best value, understanding the dynamics of dynamic pricing is essential.
Join us for an enlightening webinar as we unravel the complexities of Airbnb's Dynamic Pricing and delve into the role of AI in shaping pricing strategies for both hosts and guests. From unlocking earning potential for hosts to finding the perfect stay for guests, this session offers insights into the cutting-edge AI techniques that power Airbnb's dynamic pricing system.
Agenda for the session
- Dynamic Pricing Demystified
- AI and Machine Learning in Dynamic Pricing
- MIT Professional Education's Applied Data Science Program
- Live Q&A
About Speakers
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Marco De Virgilis
Actuarial Data Scientist Manager, Arch Insurance Group Inc.
Marco De Virgilis is a seasoned data science professional who specializes in actuary and financial risk management. He has close to a decade of experience in helping businesses successfully identify and solve various problems with data driven insights and solutions. He is currently working as a Senior Actuarial Data Scientist at Arch, one of Britain’s largest insurance firms.
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.
