Machine Learning and Artificial Intelligence in Banking and Finance: Fundamentals, Potential, Applications, Implementation
Annika Schröder, Data Governance Lead, First Hawaiian Bank
Currently fully booked;
registrations possible on the waiting list.
Machine Learning (ML) and Artificial Intelligence (AI) — commonly summarized under the term Artificial Intelligence — promise to drive the next technological revolution in the financial industry. Complex algorithms are expected to renew and replace established processes in banking. So far, so good — but how can a computer, which operates on the basis of binary code, make autonomous decisions? And where does technological progress currently stand? The Master Class provides a thorough reality check on this topic, highlighting both the potential and the limitations of artificial intelligence through concrete real-world examples.
Background
Since 2018, machine learning has evolved into a key technology that increasingly affects the financial industry. Machine Learning (ML) refers to the ability of computer systems to improve their performance autonomously by analyzing data — without the need to follow explicitly programmed instructions. The technology offers a wide range of potential applications: from risk and investment management, underwriting, and trade execution to algorithmic trading, as well as effective fraud and anti-money-laundering prevention.
Objectives
The first step is to clarify the various terms and definitions in order to establish a shared understanding of the topic. This is followed by a detailed exploration of the technologies already available today to grasp the vast application potential of artificial intelligence in banking and finance. Participants will gain a deeper understanding of the topic within its direct industry context. Where does machine learning create real added value along a bank’s value chain? What do concrete applications within the process chain look like? Is the main focus on efficiency gains or rather on process optimization? In addition, the course will examine key organizational questions and fundamental competitive aspects through insightful case studies.
SFI Master Class Features and Target Audience
SFI Master Classes offer seasoned banking and finance professionals a unique opportunity to exchange knowledge and share their professional views with top-level academics and industry experts in an interactive learning environment. Master Classes incorporate hands-on group work and opportunities for discussion.
The Master Class is aimed at specialists from the financial industry who wish to broaden their knowledge base and deepen their technological expertise in the field of artificial intelligence. The focus is on participants’ engagement with emerging technologies that have the potential to fundamentally influence and transform their professional environment in the coming years.
SAQ Recertification
This SFI Master Class is an acknowledged SAQ recertification measure and comprises four learning hours for the following SAQ profiles:
- Wealth Management Advisor CWMA
- Certified Corporate Banker CCoB
This Master Class covers the aspects "industry knowledge" and "conduct."
Late cancellations and no-shows
If you have registered for a Master Class but are unable to attend, we kindly ask that you inform us as soon as possible. Places are limited, and late cancellations and no-shows not only prevent those on the waiting list from attending, but also result in an inefficient allocation of valuable resources. Your cooperation in communicating any unexpected changes regarding your participation at this Master Class is greatly appreciated.