AI in Banking (Live)
AI in Banking" workshop provides insights into integrating AI technologies effectively within banking practices, emphasizing the potential of generative and predictive AI.
Learning Objectives
This course offers an in-depth examination of the following topics:
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Understand the Evolution of Financial Technologies and AI: Explore the current landscape of digital banking, the benefits, challenges, and risks associated with AI, and the collaborative dynamics between banks and tech companies.
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Leverage Predictive AI Models in Banking: Learn how to utilize AI for customer insights, digital onboarding, automated document processing, anomaly detection, risk assessment, personalized financial advisory, algorithmic trading, smart contracts, and transaction monitoring.
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Grasp the Principles of Generative AI: Gain foundational knowledge of AI, machine learning, and generative AI, including the application of large language models (LLMs) and practical demonstrations on crafting effective prompts, text generation, and summarization of financial reports.
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Apply Generative AI Models in Banking: Discover applications of AI in personalized marketing, document processing automation, product selection, IT systems (code generation and testing), report drafting, and overall productivity enhancement.
Course Description
AI in Banking: Transforming Finance with Innovation
Explore how Artificial Intelligence reshapes banking by streamlining processes, enhancing customer experience, and improving decision-making. This interactive course covers predictive and generative AI applications, practical use cases, and real-world examples, enabling participants to leverage AI for smarter risk management, automated customer onboarding, personalized advisory, and operational efficiency. Ideal for banking professionals seeking practical knowledge to successfully integrate AI into their workflows, enhancing productivity and competitive advantage in a rapidly evolving market.
Who Should Attend
Target Group
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Bank managers: Top level managers, Project and product managers in the banking sector
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Professionals aiming to comprehend new financial technologies in banking
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Process and strategic managers for retail and corporate banking
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Bank experts from key areas such as risk management, controlling, reporting and statistics, ALM, audit, back-office, data analysis, and marketing
Content
Evolution of Financial Technologies and Artificial Intelligence (AI)
- Modern banking and digital technologies
- Artificial intelligence: benefits, challenges, risks, and impact of new financial technologies
- Collaboration between banks and technology companies
- Transformational potential of AI in the banking sector
Applications of Predictive AI Models in Banking
- Marketing: gathering customer insights and cross-selling
- Digital onboarding
- Case study: Trustmatic – AI-based identity verification
- Automated document processing, AML, and KYC compliance
- Anomaly detection and predictive risk assessment models
- Early warnings and risk monitoring
- Fraud detection and risk management
- Personalized financial advisory: customer data analysis and investment recommendations
- Algorithmic trading and automated trading systems/high-frequency trading (ATS/HFT)
- Smart contracts: utilizing AI for generating and managing "intelligent" contracts
- Transaction monitoring
Principles of Generative AI
- Introduction to AI, Machine Learning (ML), and generative AI
- Current large language models (LLMs) and their applications
- Practical demonstrations of LLM usage
- Crafting effective prompts for LLMs
- Text generation and editing
- Summarizing financial reports and documentation
Utilizing Generative AI Models in Banking
- Marketing: personalized texts, chatbots, and client acquisition
- Document processing and automation
- Personalized product selection
- IT systems: code generation and testing
- Report drafting and documentation
- Enhancing productivity with generative models
Conclusion
- Comparison of various AI levels and their applications
- Q&A session: questions and answers
Instructor
CEO, Bearning Martin Macko
Martin started his career in banking in 1994 as an MM&FX Treasury trader. Later he was appointed Treasury Director and Chairman of ALCO at a subsidiary of an international banking group.
In 2007, Martin founded a consulting company. Later, Bearning expanded its activities to include professional banking education in the areas of ALM & Treasury, financial markets, risk management, fintech and digitalization. Martin holds several degrees and qualifications: Ing. (equivalent to M.Sc.) from the Slovak Technical University, ACI Dipl. (ACI Dipl.) from the Financial Markets Association, Financial Modeling & Valuation Analyst (FMVA)® and Certified Banking & Credit Analyst (CBCA)™ and Capital Markets & Securities Analyst (CMSA)® from the Corporate Finance Institute.
Email
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