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Episode 33: Jacob Ayres-Thomson & Hassan Salamony - How can AI leverage vast amounts of public data to empower investors?
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Dear Friends and Colleagues,
In this insightful interview with Jacob Ayres-Thomson and Hassan Salamony, we discussed how Artificial Intelligence can leverage vast amounts of public data to empower investors.
Jacob is the Founder and CEO of 3AI, a machine learning company dedicated to unlocking alpha in large data sets. Previously, he represented PwC as their asset & risk modelling expert, advising the UK Treasury during the Financial Crisis and consulting clients across insurance, investment banking, hedge fund and asset management. Before that, he worked in equity trading for Barclays Capital and Goldman Sachs. Jacob holds an MSc (Dist) in Machine Learning from UCL AI Center and a BSc (1st) in Statistics from University College London.
Hassan is the COO and co-founder of 3AI. Prior to joining 3AI, Hassan served as MD at Goldman Sachs in London, where he led the global markets FICC sales team for institutional clients across the UK and Ireland. Before this, he was a director at Barclays, leading the bank's coverage team across Europe. He holds a Distinction in Algorithmic Trading from Oxford and a BSc (Hons) in Management Science from LSE.
In this interview, we discuss:
- How can AI make sense of large data sets?
- How does 3AI make data explainable?
- How the 3AI solution can predict surprises in the financial markets?
- Where is Artificial Intelligence developing?
- and much more
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