The CTO Show with Mehmet Gonullu #232 Exploring Machine Learning Impact on Customer Experience with Dr. Mohamed Zaki
Step into the tech-verse with us as we welcome Dr. Mohamed Zaki, a distinguished academic from the University of Cambridge, to our podcast universe. Dr. Mohamed, a trailblazer in the world of machine learning and customer experience, escorts us on a fascinating voyage into the heart of digital transformation.
How can machine learning finesse our approach to customer experience? We navigate through this intriguing question, unearthing the invaluable role of machine learning in integrating digital and physical channels, managing customer experiences and segmenting valuable customer clusters. As we journey forward, we uncover the essentials of building a customer-experience-centric organization. We underline the necessity of a paradigm shift from selling mere products to selling experiences. We delve into the significance of measuring performance, emotional attachment, purchase behavior, and more. The future is digital, and we discuss how digital maturity is integral to crafting seamless customer experiences.
Our conversation also gravitates towards the hurdles that come with the rapidly evolving landscape of technology. Dr. Mohamed shares his insightful perspective on the importance of merging physical, digital, and social elements for a holistic and delightful customer experience. We also broach the subject of data security and startup ethics, emphasizing the importance of stringent data security and compliance protocols in building trust with customers. So lend us your ears for this enlightening exchange that promises to blend technology, customer experience, and invaluable wisdom.
About Dr. Mohamed:
Dr Mohamed Zaki is the Deputy Director of the Cambridge Service Alliance at the University of Cambridge, A research centre that brings together the world’s leading firms and academics to address service challenges.
Mohamed’s research interests lie in the field of machine learning and its application on Digital Manufacturing and services. He uses an interdisciplinary approach of data science techniques to address a range of real organizations’ problems such as measuring and managing customer experience and customer loyalty. Other research interests include digital service transformation strategy and data-driven business models.