5^th World Machine Learning and Deep Learning Congress

Biography

Biography: Sylvester Juwe

Abstract

Listening to the voice of customers plays a prominent role in a customer-centric business strategy. But with the business environment’s increased complexity and dynamism for a customer-centric business to thrive in its value delivery, there is a growing need for personalization of business offering and continuous evolution of business decisions in such a way that they align with changes in customer needs. These requirements could be challenging, particularly in organizations with a large customer base. In response, this talk presents how advanced analytics and machine learning techniques have enabled operational efficiency and business effectiveness in large organizations. Specifically, this address highlights how tree-based machine learning methods have been employed in understanding and prescribing solutions to complex and evolving operational business problems. Furthermore, it presents insights into, how uplift modeling has improved response rates and returns on marketing spends in large-scale targeted campaigns. Underpinning this talk is a discussion of the leadership approach that informed these innovations.