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Unsupervised learning at scale to fight financial crime, improve capital returns and liquidity in Financial Services

Unsupervised learning at scale to fight financial crime, improve capital returns and liquidity in Financial Services

Released Monday, 1st June 2020
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Unsupervised learning at scale to fight financial crime, improve capital returns and liquidity in Financial Services

Unsupervised learning at scale to fight financial crime, improve capital returns and liquidity in Financial Services

Unsupervised learning at scale to fight financial crime, improve capital returns and liquidity in Financial Services

Unsupervised learning at scale to fight financial crime, improve capital returns and liquidity in Financial Services

Monday, 1st June 2020
Good episode? Give it some love!
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Simon Moss, CEO of Symphony AyasdiAI, shares his view of the opportunities in AI for the Enterprise. We discuss Ayasdi's unique approach to unsupervised learning (Topological Data Analysis), its applications in Financial Services such effectively fighting financial crime, improving capital return and liquidity, and reducing risk. We end with Simon's view on implications of AI deployment on organizations.

Links to interesting topics referred to in the podcast:

JP Morgan COIN project https://www.bloomberg.com/news/articles/2017-02-28/jpmorgan-marshals-an-army-of-developers-to-automate-high-finance

Ayasdi's diabetes https://www.ayasdi.com/blog/healthcare/identification-of-type-2-diabetes-subgroups-through-topological-data-analysis-of-patient-similarity/

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