Dubai, UAE | Dusit Thani Dubai | Post-Conference Workshop
On the final day of the 15th Annual MENA CFO Conference, I had the privilege of leading the Post-Conference Workshop on Leveraging Generative AI for Strategic Financial Leadership. This session was designed to equip CFOs and finance leaders with actionable strategies to integrate AI-driven tools into their financial planning, forecasting, and decision-making processes.
Session Title:
๐ Leveraging Generative AI for Strategic Financial Leadership
Topics Covered:
AI-Driven Financial Forecasting:
Explored how generative AI and large language models (LLMs) can enhance financial forecasting accuracy by integrating structured and unstructured data sources.
Ethical and Governance Considerations:
Addressed model explainability, bias detection, and risk management frameworks essential for AI adoption in finance.
Practical Implementation:
Demonstrated how to integrate AI into existing finance systems, including real-world case studies on revenue forecasting and scenario planning.
1. Generative AI in Finance
Explained transformer architectures and prompt engineering for finance-specific tasks.
Demonstrated integration of generative models into scenario analysis, stress testing, and management reporting.
2. Data Engineering and Model Deployment
Discussed best practices for preparing financial datasets (e.g. time-series alignment, missing data imputation) to feed AI models.
Outlined deployment pipelines, including model monitoring and continuous learning, to maintain accuracy in dynamic financial markets.
3. Governance and Regulatory Compliance
Presented frameworks for integrating AI into financial workflows while ensuring compliance with Basel III/IV, IFRS 9, and other relevant standards.
Introduced explainability tools (e.g. SHAP, LIME) to support transparency and regulatory audits.
4. Risk Management Integration
Explored techniques for incorporating AI forecasts into Value-at-Risk (VaR) models, stress testing, and scenario analysis.
Highlighted the importance of human-in-the-loop systems to oversee AI outputs in critical decision processes.
Participants gained practical insights into integrating generative AI into financial leadership roles, enhancing efficiency and innovation.
Provided attendees with step-by-step frameworks for evaluating and deploying AI models in finance.
Fostered discussions around regulatory alignment, data governance, and risk management considerations for AI adoption.
Led by Joerg Osterrieder, Professor of Finance and Artificial Intelligence, MSCA Digital Finance, Switzerland.
A special thanks to all the attendees for their active participation and forward-thinking mindset, as well as to the marcus evans team for their exceptional organization and seamless execution of the event.
On February 28, 2025, the ING headquarters in Amsterdam hosted the ING โ University of Twente Workshop on Data Analytics and Quantitative Models in Banking and Academia. This event gathered over 80 professionals, academics, and students to discuss developments in finance, risk management, artificial intelligence, and data science.
Joerg Osterrieder and Anouk Bleumer organized and led the workshop, creating the program and enabling discussions on how academic research can be applied to industry challenges.
Starting with an introduction by Jos van Hillegersberg, the event featured presentations from key experts, including:
Max Baak on Data Analytics and Generative AI applications in banking.
Wilco den Dunnen on Economic Capital Models and their role in risk management.
Domenico Soluri on Model Validation and Climate Risk assessments.
Adriano Barasal Morales, PhD on Spatial Finance and leveraging satellite data for financial decision-making.
Anil Raina on Model Implementation best practices.
Participants could join three different workshops:
Multi-agent LLM for scenario analysis, led by Joerg Osterrieder and Max Baak.
Explainable Reinforcement Learning in Finance, addressing the challenges of AI transparency in compliance with the European AI Act, led by Wouter van Heeswijk
Hands-on Credit Risk Model Implementation, led by Anil Raina.
The results of these workshops were presented by Frederik Sinan BERNARD and Anouk Bleumer, highlighting practical applications of research in quantitative finance.
This workshop marks a significant step toward bridging academia and industry, demonstrating the real-world impact of academic research in financial institutions. Future collaborations under the MSCA Digital Finance - European Industrial Doctoral Network on Digital Finance and COST Fintech and Artificial Intelligence in Finance will continue to strengthen research-driven innovation in banking and finance.ย
Our COST Fintech and Artificial Intelligence in Finance at one of the oldest universities in the world and the oldest in all of Portugal: Coimbra University, founded in 1290. Discussing topics of the 21st century: Fintech, Artificial Intelligence and diversity in Finance.ย
Thanks to Antonis Papapantoleon and team for organizing this great European Summer School in Financial Mathematics at Delft University of Technology https://lnkd.in/e6rcttETย
1:19:00
Panel about the Digital transformation of EUโs financial markets together with
Mattias Levin, Deputy Head of Unit, Digital Finance, European Commission
Ralf Schneider Allianz Group CIO
Fabiana Mingrone Country manager Germany, International card services, American Express
Keynote speech: Artificial Intelligence in Finance - Quo Vadis
(Start at 6:35): Introduction by the Vice-Governor of the South African Reserve Bank, Head of the Irving-Fisher Committee
IFC-Bank of Italy workshop on "Data science in central banking", Part 2: Data Science in Central Banking: Applications and tools, 14-17 February 2022, BIS