Enhancing Banking & Finance with AI: Business Analytics for Executives

About This Course

Data are a key and critical competitive component of all businesses. Data-driven technologies such as Data Science (DL), Machine Learning (ML), and Artificial Intelligence (AI) help translate data into competitive advantages for many businesses and enterprises, including those in banking and finance. A good understanding of these technologies and their real-world business applications are now critical skills and knowledge of all business executives.
This course spans 3 days, with the first 2 days dedicated to building foundational knowledge of AI technology in financial services and the third day emphasizing practical skills.
Day 1:
• Overview of the AI industry, including trends and future directions.
• Exploration of AI use cases in financial services.
• Introduction to data science, machine learning, and artificial intelligence concepts.
• Detailed discussion on AI algorithms and specific use cases.
• Introduction to Supervised and Unsupervised Learning techniques.
• Overview of Reinforcement Learning and its applications.
Day 2:
• Overview of Deep Learning and Natural Language Processing.
• Introduction to Large Language Models, such as those used in chatbots and virtual assistants.
• Machine learning demo/practical session.
• Guest speaker session for industry insights.
• Additional segment on the application of AI in banking and finance.
• Quiz and assessment to evaluate participants' understanding.
Day 3:
• Building and evaluating predictive models without coding using Visual Machine Learning Platforms – Konstanz Information Miner
• Step-by-step guide on setting up Python and Jupyter Notebooks for data science tasks.
• Using AI Tools Like ChatGPT for Coding Assistance.
• Practical exercises and examples on data preparation, feature engineering, and model development.
• Practical assessment to test participant's ability to perform data processing for Machine Learning