This webinar explores the shift from static digital interfaces to AI-driven "intelligent" experiences that treat every user as an audience of one. By leveraging predictive analytics and real-time data grounding, you will learn to build seamless, personalized journeys that drastically increase conversion rates and foster long-term loyalty. Join us to bridge the gap between technical scaling and ethical privacy, turning AI-driven hyper-personalization into your brand’s ultimate competitive advantage.
Agenda for the session
- The Personalization Tech Stack
- UX in Motion & Scaling
- Trust & Implementation Roadmap
- Live Q&A
About Speakers
Saurabh Kango
Data Science Senior Manager, Meesho
With over 9 years of experience in Data Science and Analytics, the speaker brings deep expertise across Retail, Travel, and Technology domains. Previously worked with LinkedIn, contributing to the development of Scaled Insights solutions used by organizations worldwide to drive data-informed decision-making. In addition to industry experience, the speaker has been a mentor with Great Learning for over 3 years, delivering 400+ hours of hands-on guidance to professionals and learners.
AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact Program
he AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact Program Program has a curriculum carefully crafted by MIT faculty to provide you with the skills and knowledge to apply AI and data science techniques to help you make AI-driven decisions. This AI and data science program has been designed for the needs of professionals looking to grow their careers and enhance their AI and 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.
