From Algorithms to Impact: How AI Is Reframing Finance

AI is revolutionizing the finance industry, offering unprecedented opportunities for innovation, efficiency, and better decision-making. It's FrA!day webinar explores how AI can be utilized across various sectors of finance, illustrating its potential to enhance operations and drive growth.

Our keynote speaker Ruth Kaila, Researcher in Financial Risk Management, Aalto University, focuses on the following topics: 

- Automated Trading & Portfolio Management: driving real-time decision-making and optimizing investment strategies for efficiency.
- Fraud Detection & Risk Management: identifying anomalies and mitigating risks with proactive AI analysis.
- Personalized Financial Services: creating tailored, data-driven experiences to enhance customer engagement and satisfaction.
- Credit Scoring: improving accuracy and transparency in credit assessments while ensuring regulatory compliance.
 

The webinar is free of charge. We will share the webinar recording after the event with all registrees.

Registration

Register for the webinar by November 22, 2024. You will get instructions on how to join the webinar in a separate email.

Register

Keynote Speaker

Ruth Kaila has a long and comprehensive academic career, characterized by her dedication to both teaching and research in interdisciplinary fields. Currently, she is a lecturer and researcher in Financial Risk Management at Aalto University, Department of Industrial Engineering and Management. Previously, she was involved in similar tasks at the Department of Mathematics at Helsinki University of Technology. With over 20 years of teaching experience across various departments at Aalto University, Ms. Kaila has developed deep expertise in quantitative finance, mathematical modeling, economics, and business strategy, along with a strong understanding of the potential of emerging technologies in the financial sector.

Ms. Kaila holds a PhD (Tech) in Mathematics from Helsinki University of Technology, along with Master's degrees in Industrial Engineering and Management (Helsinki University of Technology), Cybersecurity (University of Jyväskylä), and Art History (University of Helsinki). Her educational background also includes extensive studies in university pedagogy. In line with this diverse academic foundation, Ms. Kaila adopts an interdisciplinary approach to both teaching and research. Her research centers on mathematical finance, particularly the application of quantitative methods and AI in financial markets. Ms. Kaila has delivered numerous presentations at international conferences and professional events, and has contributed to several academic projects focused on financial technologies.
 

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