Join our interactive session on "Airbnb's Dynamic Pricing: AI for Hosts and Guests" and delve into how Airbnb leverages AI to optimize pricing for maximum benefits. Discover the algorithms and techniques used to balance supply and demand, ensuring competitive rates for hosts and affordability for guests. Through real-world examples and practical insights, you'll learn how AI-driven dynamic pricing enhances user experiences and drives business growth. Whether you plan to build a career in AI or are just an enthusiast, this session offers valuable knowledge to harness AI for smarter pricing strategies. Don't miss the opportunity to engage and learn from an industry expert.
Agenda for the session
- How Airbnb's AI functions
- Algorithms and techniques used in AI-driven pricing
- No Code AI and Machine Learning Program by MIT Professional Education
- Live Q&A
About Speakers
Vincent Koc
Founder & Managing Director, Hyperthink
Vincent Koc is a highly accomplished, commercially focused engineering technologist with a wealth of experience in data-driven disciplines. He holds a fellowship at the Institute of Managers and Leaders Australia, where he serves as a thought leader and mentor to the next generation of data professionals. With over two decades of experience in the field, he has worked across a wide range of industries, including finance, telecommunications, travel, and fast-moving consumer goods.
No Code AI and Machine Learning Program by MIT Professional Education
No-Code AI is the revolutionary technology that empowers anyone, regardless of technical expertise, to build advanced AI-driven solutions effortlessly, democratizing innovation and accelerating digital transformation. Due to the advent of this technology, professionals skilled in the no-code approach are highly valuable to organizations across industries. In order to help you unlock the power of AI without coding, MIT Professional Education offers the No Code AI and Machine Learning: Building Data Science Solutions Program.
In this 12-week program, you will be able to decode the AI landscape by learning the theory and practical applications of supervised and unsupervised learning, time-series analysis, neural networks, recommendation engines, regression, computer vision, and more. With the no-code approach, you will learn to leverage the power of AI and Data Science without having to write a line of code.
