Artificial intelligence has been successfully applied to various fields to create quantum-leap improvements across the entire supply and value chains. Artificial intelligence applications include recommender systems, smart assistants, chatbots, classifiers, and predictive engines. Recommender systems are currently able to recommend the right product to the right person at the right time. Smart assistants are part of everyday life. Chatbots are becoming more and more common in customer service applications. Classifiers can detect fraud, and predictive engines can predict credit defaults.
With the ever-increasing use of social networks by customers, organizations are more inclined to analyze trends and sentiments. Natural Language Processing provides suitable solutions to this problem. Moreover, data visualization tools are becoming crucial to gain insights from the huge amount of data available to organizations.
The participant to this Artificial Intelligence in Banking training course will learn how to apply artificial intelligence to the banking sector. In particular, the participant will learn how recommender systems, chatbots, classifiers, and predictive engines can provide value in the banking sector.
This GLOMACS training seminar will highlight:
- Data analysis and visualization
- Clustering and customer segmentation
- Machine Learning for credit default prediction and fraud detection
- Natural Language Processing
- Chatbots and smart assistants
By the end of this training course, participants will learn to:
- Develop a credit default predictor
- Develop a fraud detection system
- Develop a recommender system
- Develop a customer segmentation system
- Build a chatbot that assists customers
Participants in this training course will receive thorough training on the subjects covered by the seminar outline with the Tutor utilising a variety of proven adult learning teaching and facilitation techniques. Seminar methodology includes combining a presentation of the main concepts and hands-on practical exercises to be completed by the participant.