In any business, exceptional digital experiences require tools that not only meet, but anticipate the needs of customers. In this session, Changbin Wang, Head of Global Consumer Risk & Regulatory Decision Science and Managing Director of the Singapore Decision Science Center of Excellence at American Express, will share real-world use cases and discuss best practices for enterprises in implementing artificial intelligence, machine learning, and other emerging tools to further optimize customer experience and increase trust. 

Drawing on his 20 years of experience at American Express driving continuous innovation and overseeing AI/ML modeling techniques and algorithms, Wang will share key insights attributed to: 

● Using ML and AI algorithms to tailor communication strategies and deliver timely messages, resulting in heightened customer engagement and satisfaction.
● Leveraging recommender systems and advanced data science techniques like boosting, Natural Language Processing (NLP) and reinforcement learning to make the personalization experience relevant to customers every day.
● Ensuring personalization initiatives respect customer privacy preferences and foster trust and loyalty while delivering impactful experiences.

Attendees will walk away with impactful strategies designed to drive positive customer interactions and ultimately increase business growth. This session will provide valuable insights for leaders across industries seeking to harness the power of data science to create more personalized, private, and efficient digital interactions with their customers.