Executive Development Programme in AI and Retail Banking: Customer Service
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⢠Introduction to AI and Retail Banking: Understanding the fundamentals of artificial intelligence (AI) and its applications in retail banking. This unit covers the benefits and challenges of implementing AI in customer service.
⢠AI in Customer Service: Exploring how AI can improve customer service in retail banking, including chatbots, virtual assistants, and automation of processes. This unit also discusses ethical considerations and customer privacy.
⢠Machine Learning and Data Analysis: Understanding the principles of machine learning and data analysis, including supervised and unsupervised learning, and how they can be used to improve customer service in retail banking. This unit also covers data visualization and interpretation.
⢠Natural Language Processing (NLP): Examining the role of NLP in AI and retail banking, including sentiment analysis, topic modeling, and text classification. This unit also covers the limitations and challenges of NLP in customer service.
⢠Robotic Process Automation (RPA): Learning about the use of RPA in retail banking customer service, including the benefits and challenges of implementing RPA, and best practices for RPA deployment.
⢠AI Ethics and Regulations: Understanding the ethical considerations and regulations surrounding AI in retail banking, including data privacy, bias, and transparency. This unit also covers the role of regulators and industry standards in promoting ethical AI practices.
⢠AI Implementation and Integration: Exploring the process of implementing and integrating AI into retail banking customer service, including stakeholder management, project management, and change management. This unit also covers the importance of continuous improvement and monitoring.
⢠AI in Marketing and Sales: Examining the role of AI in marketing and sales in retail banking, including personalization, predictive analytics, and customer segmentation. This unit also covers the ethical considerations and regulations surrounding AI in marketing and sales.
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