AI for Finance Professionals

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)
• Investigate how to use machine learning in finance: credit scoring, fraud detection, risk assessment
• 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.

Faculty

Breanndán Ó Nualláin teaches Machine Learning and Data Science at the University of Amsterdam. He has special responsibility for the development of computing throughout the curriculum at Amsterdam University College, and is a member of their AI task force. With more than 30 years of experience and over 1,000 academic citations, he brings a deep understanding of artificial intelligence and machine learning to his teaching.

Breanndán previously worked at the Informatics Institute of the University of Amsterdam, collaborating with scientists from a range of disciplines to build large-scale computer systems for solving modelling problems in areas as diverse as the virology of influenza, computational astrophysics and groundwater hydrology.