Beyond the Hype: Investment-AI and Machine Learning
This Symposium aims to bring cutting-edge research on financial applications of machine learning and artificial intelligence methods to both academics and practitioners with the aim of inspiring new research directions. Areas addressed are: Explainable AI in its application to finance, the use of AI in investment management and, key tool and approaches.
Our speakers are practitioners and academics from Finance and Compute Sciences. We hope to showcase cutting edge research that will drive quantitative methods in the financial services industry over the next decade.
Friday/Monday format: On Friday 3rd April, we will broadcast 3.5hours of live presentations with Q&A sessions. Monday will consist of a Q&A session for our pre-recorded presentations.
- About Us
- Courses
- MBA
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Executive Education
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For Individuals
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For Individuals Overview
- Behavioural Science in Practice
- Finance for Non-Finance Leaders
- Leadership for a Complex World
- Mergers and Acquisitions: How to Maximise Success
- The Strategic Mindset of Leadership
- WBS Executive Leadership programme
- Global Central Banking and Financial Regulation qualifications (MSc/PGDip/PGCert/PGA)
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Research centres and
networks
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- Applied & Organisational Psychology Research Network
- Artificial Intelligence Innovation Network
- Centre for Organising Health and Care Research
- Gillmore Centre for Financial Technology
- Global Energy Research Network
- Industrial Relations Research Unit
- Innovation, Knowledge & Organisational Networks Research Unit
- Macroeconomic Policy and Forecasting Research Network
- The Enterprise Research Centre
- Our expertise
- Overview
-
For individuals
-
For Individuals Overview
- Behavioural Science in Practice
- Finance for Non-Finance Leaders
- Leadership for a Complex World
- Mergers and Acquisitions: How to Maximise Success
- The Strategic Mindset of Leadership
- WBS Executive Leadership programme
- Global Central Banking and Financial Regulation qualifications (MSc/PGDip/PGCert/PGA)
- For Organisations