Opportunities and Challenges in Leveraging AI for Financial Markets

Join us for an insightful and thought-provoking seminar on Artificial Intelligence hosted by renowned expert, Professor Raphael Douady, author of the book “Artificial Intelligence for Financial Markets”.
This exclusive event will explore the core concepts, challenges, and potential of AI, focusing on critical topics shaping the future of data science, machine learning, and business innovation.

Key Seminar Highlights:
What is AI and its Relationship with Data?
Understand how artificial intelligence harnesses data and whether it is inherently dependent on new data sources.

AI vs. Traditional Data Analysis
Explore the fundamental AI methods for processing data and see how they differ from traditional analytical techniques.

Data Types and New Information
Dive into how different types of data provide various kinds of information, and whether new data always equals new insights.

Data Quality and Impact of Errors
Learn the importance of clean, reliable data and the significant effects of data errors on AI performance.

Information vs. Noise in AI
Discover how to separate meaningful information from noise, and the consequences of spurious data in AI models.

Processing Vast Amounts of Data
Understand the capability of AI systems in processing large datasets and extracting actionable decisions.

Hidden Assumptions in Data Models
Examine how hidden biases and assumptions in AI models influence predictions and outcomes.

AI, Rare Events, and Supervision
Can AI fully operate autonomously, or is human supervision necessary when dealing with rare or unpredictable events?

Date: Thursday July 31, 2025
Time: 5:00 p.m. U.S. Eastern time
Duration: 90 Minutes