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I am delighted to be joined today by Dr Tristan Fletcher Research Director at Thought Machine to talk about Artificial Intelligence and Machine Learning in Financial Services. His Linkedin strapline is “I apply state of the art prediction methods from the Machine Learning (Artificial Intelligence) academic community to real world problems”
This is a mega hot topic right now and also one all too often hyped beyond all belief and frankly credibility.
For some time I have been on the lookout for someone with real depth of knowledge in this area. When attending and also moderating a recent InSync event at the Tate Modern I was impressed by Tristan’s deep understanding and also groundedness – the basic angle (or to be more precise my takeaways on his views ) being “all this stuff has been known to academics for a long time” and “many aspects of it are exaggerated and in many ways it has become more of a marketing tool”.
So the point of this show is to put it all back in proportion.
What is AI? I mean what is it really when one isn’t reading it in some journalistically overblown tech piece. What is machine learning? Are neural networks like the brain? How big is big data and does it contain all the answers? All these and more we will cover and I hope and am sure that you will go away far better briefed than before.
Tristan spans academia , FS and entrepreurialism. Academically he has studied at, or had fellowships with, Cambridge, Imperial, UCL and Sussex. FS-wise he has worked at senior levels in prestigious organisations in asset management and trading. Entrepreneurially and have worked with / founded start-ups in these domains.
Oh yes and apart from all this he has also applied machine learning to medicine (Imperial College London), supply chain management (Unilever) and even fine wine pricing.
So it’s another show where my teams of researchers have found me a guestwho is a collousus bestriding his world. And as always its another great show for my analyst who will have to hear me moaining more about my own punyness in the face of greatness.
Plenty discussed including: Continue reading