About the webinar
One of the biggest concerns that real estate companies have is analyzing and moderating the property listing information on their platforms. These listings usually contain textual and image data that have to be manually updated onto the platform and then moderated to ensure they meet certain standards.
These manual processes scale poorly with the amount of property listing information that is updated through third-party vendors daily. This leaves poor quality of information available for customers to view, leading to lost sales opportunities due to incomplete, inaccurate, and poorly moderated content, which affects the brand’s reputation.
Through this webinar, you will learn how both Computer Vision and Natural Language Processing can be used to analyze and moderate real estate listing information on a real-time basis, by extracting information from their large corpora of textual and image data.
What you will learn
How real estate platforms are leveraging AI to analyze and moderate property listing content
Live demo: Building a property listing object detection model
Speaker(s) & Panelist(s):
Co-founder and COO at Skyl.ai
COO & Technology leader with over 20 years of experience in Product development, Artificial Intelligence and Machine Learning business strategy and acceleration. Consultant to Fortune 100 organizations across IT, Telecom, Manufacturing, Healthcare, Construction, Pharmaceuticals, Retail, Biotechnology, Banking and Insurance sectors to deliver business impact.
Technology enthusiast with 13+ years of experience working in the information technology and services industry. Leads cutting-edge solutions for businesses using Machine Learning and Artificial Intelligence.
Lead - Data Science
Extensive experience working at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.