How do you capture data and turn it into a valuable business asset? In an era marked by ever-accelerating technological advancements, the integration of Artificial Intelligence (AI) into the finance industry has become a transformative force. This two-day training is tailored to equip finance professionals with the knowledge and practical skills required to harness the power of AI in their work. By the end of this program, the participants should have a solid understanding of AI fundamentals, hands-on experience with AI tools and frameworks, and insights into how to leverage data within their organization and beyond, and use AI to enhance their work.
How you will benefit
- Gain a solid understanding of AI fundamentals and their application in the finance industry
- Learn more about up-to-the-minute, key AI technologies: Machine Learning, Deep Learning, Natural Language Processing, Large Language Models (ChatGPT, etc.)
- Gain hands-on experience with cutting-edge AI tools and frameworks
- Increase your awareness on ethical considerations of AI and regulatory compliance
- Make informed, strategic decisions by integrating key AI management insights into the way your organization operates.
- Learn how AI agents can automate recurring tasks and workflows
- Improve outputs and boost efficiency
“It’s not easy to give such a high level introduction within 2 days to a group of mixed audiences. Professor Ó Nualláin tried to use simple examples to explain complex concept which works well.”
Director , Global Semiconductor Company, The Netherlands
Program length
2 days
| Day 1 | 09:00 – 17:00 |
| Day 2 | 09:00 – 17:00 |
Next step
We offer carefully crafted learning paths designed to help you dive deeper into various facets of finance. Take the next step in your professional learning path by choosing one or more of our specialized programs, for example:
Day 1 | Introduction and Program Overview, A Short History of AI, Data as a Resource
- Introduction and Program Overview
- AI in the world around us today
- AI in our pocket: how we use AI in our day-to-day lives, and often take it for granted
- AI in your environment.
- Customer service and voice recognition.
- Self-driving cars. Driver assistance. Autonomous vehicles.
- AI unseen: how AI is used to make decisions about us, often unknowingly.
- Opportunities for AI in business and in the financial sector
- Key AI technologies today:
- Machine Learning
- Deep Learning
- Natural Language Processing, Google, PageRank
- Voice recognition
- Facial recognition
- Large Language Models such as ChatGPT
- AI in the world around us today
- A Short History of AI
- Data as a Resource
Organizations fail to realize that they are sitting on a goldmine of data that can be leveraged to cut costs and develop novel business opportunities.- Investigating the availability of data in your organization;
- How to tap into that data as a resource;
- Challenges: real-world data; “dirty” data, data entry, human error, incomplete data
- Data imputation and matrix completion
- Image completion and augmentation
- The landscape of Large Language Models
Responsible AI in Finance – Guest speaker: Dr. Ali el Hassouni, Head of Data & AI at bunq
Practical Use Cases for Large Language Models for Finance Professionals
Everybody is talking about Large Language Models these days; from Marketing to Sales departments and from HR to programming; LLMs seem to be the ideal (junior) assistants. But what about financials? How can we – numbers-driven professionals – use LLMs in a practical manner? In this interactive session, we will explore how finance professionals can use AI to improve outputs and boost efficiency. Through live demos of public LLMs that anyone can use, we will see how AI can help analyze complex Excel files; from financial analysis to statistical modelling, and everything in between.
Day 2 | Neural Networks and Deep Learning, Large Language Models, ChatGPT
Only a short while ago, OpenAI launched ChatGPT, a so-called Large Language Model (LLM). It gained widespread adoption and led to much discussion in the media. We examine the players in this new market and ask
- Who owns the training data?
- Who owns the interaction data?
- How can we leverage these technologies in our organizations?
- What are the legal and compliance concerns?
Practical Use Cases for Large Language Models for Finance Professionals
A couple of use cases submitted by the participants prior to the program will be covered.
Group exercises: Build your own AI’s: Agents (MS Copilot) and GPT’s (ChatGPT)
Ethical and Safety Aspects
- Ethical and legal considerations: personal data, ESG
- Current legal frameworks in the EU, UK and elsewhere in the world (GDPR, CCPA, PIPL)
- Comparing and contrasting public and private uses of data; social credit systems and surveillance capitalism
- Important issues for putting AI into practices, among which:
- Explainability: black boxes
- Putting interpretability first; model parsimony
- Dangers of bias, transparency and fairness
- Auditability of AI systems
- Model drift
- Principles of responsible ML, fairness
Q&A and Wrap-up
Program preparation
There are no pre-readings for this program. The professor would like you to come in without any preconception.
We will collect use cases from the audience prior to the program. A selection of that input will be covered during the sessions with Maarten de Borst.
After the program links to materials for follow-up reading, and the slide decks of the two instructors will be made available on a password protected webpage.
Read more:
> Breanndán Ó Nualláin: “Finance professional with knowledge of AI has an edge”
The AI for Finance Professionals program is relevant to a wide range of executives who want to better grasp how AI works. Among them:
- Chief Information Officers
- IT managers
- Business analysts
- Risk professionals
- Investment bankers
- Any professionals who want to understand how AI can be successfully implemented within their organization
This program does not require technical skills or the ability to code.
Please contact us should you feel the need to verify your level of knowledge.
Prerequisite
Proficiency in English is vital for following this training program effectively.
Is this program not the right fit for you?
We offer other programs which you might find more interesting or useful, such as:
