skip to Main Content

AI and Machine Learning in Risk Management and Investment Strategies

AI and Machine Learning in Risk Management and Investment Strategies

AI and Machine Learning in Risk Management and Investment Strategies

da
39 39 people viewed this event.

Friday, 12 April 2024 | 4.00PM TO 5.15PM (SGT)

Lee Sheridan Conference Room, NUS Law, Bukit Timah Campus

 

Professor Ettore Maria Lombardi University of Florence School of Law

 

This seminar explores the symbiosis between artificial inte ligence (AI), machine learning, risk management, and investment strategies within the dynamic realm of sustainable finance. It offers a scholarly forum to elucidate the intricacies of employing sophisticated AI algorithms and machine learning methodologies to disti l vast datasets, discern intricate patterns, and engender data-informed decision-making paradigms in the multifaceted domain of financial risk assessment. It helps to consider the avant-garde applications of these state-of-the-art technologies, as they transmute orthodox risk evaluation paradigms, engender enhanced prognosticative capabilities, and refine investment strategies to align with the imperatives of sustainable finance initiatives. It permits a scholarly comprehension of the forefront tools and methodologies instrumental in traversing the labyrinthine financial landscapes while integrating pivotal environmental, social, and governance (ESG) considerations into the fabric of investment decision frameworks. This seminar analyses i lustrative case studies, exemplary practices, and nascent trends that are reshaping the contours of financial markets in an epoch characterized by digital metamorphosis and an augmented awareness of sustainability imperatives.

 

Click here for the programme

 

Register at: https://tinyurl.com/cbflss

Closing date: 8 April 2024 For enquiries, email cbfl@nus.edu.sg

Registrazione all'evento conclusa.
 

Data e ora

12-04-2024 15:30 to
12-04-2024 17:15
 

Data di fine Iscrizione

08-04-2024
 

Location

Online event

Share With Friends

Back To Top