Shreesha Hegde
Biography
With more than fifteen years of hands-on technical leadership in Data & AI architecture, I help B2C companies turn raw customer information into ultra-personalized experiences that boost engagement and revenue. I design and lead large-scale data-modernization programs migrating legacy platforms to the cloud, unifying data into real-time 360? customer profiles, and deploying machine-learning models that recommend the right offer, message, or service for each individual at exactly the right moment
Research Interest
Business Intelligence, Solution Architecture, big Data Analytics, Data Engineering, Cloud Computing, Data Warehousing
Abstract
Increasing digital sales through hyper personalization for B2C industries with application of advanced data engineering and AI.
Digital sales have transformed with advancements in big data analytics and machine learning, enabling more precise customer personalization. My presentation explores how 1:1 hyper-personalization using machine learning algorithms and agenti AI to deliver tailored recommendations to individual consumers in real time, significantly impacts e-commerce and digital sales. I provide a comprehensive review of methodologies, system architectures and industry use cases that underscore the effectiveness of hyper- personalization in enhancing user experience, increasing conversions and boosting digital revenue. This paper also examines challenges, including data privacy and scalability and proposes future directions for effective hyper-personalization.
