AI in Banking
2-Day Live Online workshop: Intensive, Interactive, Practical
Data and AI have become a crucial factor in the business world. Data is valuable to banks because it can empower them to make informed decisions, enhance operational efficiency, improve customer experiences, and drive innovation.
As the business world is constantly changing, banks are constantly searching for cutting-edge solutions to assist them in staying ahead of their competition. By revolutionizing how organizations connect with customers, AI technologies can help them reach their full potential.
This course will examine the impact of AI technologies in the business world, emphasizing the benefits of AI tools like ChatGPT and Generative AI in enhancing customer engagement, personalization, and customer service automation.
The course will be intensive, practical, interactive and case-study-based. Participants are encouraged to ask questions, suggest solutions and share experiences and ideas.
AI is thought by many to change our future completely, greatly affecting companies and individuals. This course applies to everybody who wants to be part of this future, especially for managers and executives who decide on how to use AI and shape a successful future for their organization.
Objectives
AI Fundamentals:
- Understand the main concepts of AI: A refresher with examples
- Discover the most recent developments and trends in AI for businesses: Most recent developments in the field of AI, including the ChatGPT language model for businesses and its variations.
Hands-on for non-technical people:
- Learn how to use AI in your business for growth: How to use AI technologies, such as ChatGPT, to promote creativity, efficiency, and commercial growth in their respective fields.
- Obtain useful resources for your business: We will provide access to helpful materials and resources, including case studies, academic articles, and how-to documentation, to assist attendees in using AI in their organizations.
Use-cases in banking:
- Discover how AI can be used in the banking sector today: Participants will examine use-case examples in areas like customer service, content generation, and fraud detection as well as learn about how AI technologies are currently being employed in the banking sector.
AI Fundamentals:
- Introduction to Artificial Intelligence for Business: Overview of artificial intelligence and machine learning, Business opportunities and challenges in adopting AI technologies, Role of AI in digital transformation and innovation
- Key Concepts and Terminology: Understanding AI terminology: algorithms, models, training, and inference, Types of machine learning: supervised, unsupervised, and reinforcement learning
- Data-driven Decision Making: Importance of data in AI-driven decision making
- Implementing AI Solutions: Identifying AI use cases and business objectives
- Ethical and Responsible AI: Ethical considerations in AI development and deployment, Bias and fairness in AI algorithms and decision-making, Transparency, accountability, and explainability in AI systems
- Data governance and privacy considerations
- Future Trends and Strategic Insights: Emerging trends in AI research and development
- How these technologies can impact a business.
- Understand what the cons and pros for your business are when using such technologies.
Hands on for non-technical people:
- Learn which and how specific AI tools can be used in the banking sector to enhance productivity.
- Virtual Assistants and Chatbots
- Natural Language Processing (NLP) Tools
- Machine Learning Platforms:
- Data Analytics and Business Intelligence (BI)
- Hands-on examples
Use cases in banking:
- Use cases where AI can help you in the banking sector.
- Marketing and customer analytics: personalized recommendations, predictive modeling
- Finance and risk management: fraud detection, algorithmic trading
- Customer service and experience: chatbots, virtual assistants
- AI applications specifically targeted in the banking sector.
- Fraud Detection and Prevention
- Customer Service and Chatbots
- Credit Scoring and Risk Assessment
- Personalized Recommendations and Marketing
- Anti-Money Laundering (AML) Compliance
- Robotic Process Automation (RPA)
- Wealth Management and Financial Advisory
- Risk Management and Regulatory Compliance
- Learn new applications for LLMs, such as how to create a personalized chatbot.
- Brain Storming session on AI based applications that can be used in the banking sector
- AI Applications in Business
Dr Michalis Agathocleous - Director of Artificial Intelligence and Data Science at Goldman Solutions and Services (GSS) Ltd. Trainer in AI at EY Academy of Business.
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