It’s easy to ignore what’s right in front of our eyes — and I’m afraid that I see many examples right here in the UK credit industry.[Read More]
The last thing an organization with the tagline “We Power Good” wants to do is inadvertently power bad things — things like money laundering, tax evasion or terrorist financing. That’s why GVNG is now working with FICO.[Read More]
When the exact nature of the law is still being decided and the consequences of PSD2 are still unclear, where should you start?[Read More]
Supervised by human guardians defending against a Terminator-like monster, the power of AI will be harnessed to improve our society and human life quality.
It’s easy to ignore what’s right in front of our eyes — and I’m afraid that I see many examples right here in the UK credit industry.
The last thing an organization with the tagline “We Power Good” wants to do is inadvertently power bad things — things like money laundering, tax evasion or terrorist financing. That’s why GVNG is now working with FICO.
With advancements in AI research, we can expect a lot of really interesting developments and also a few technologies that used to be science fiction. But to foster AI's growth, we also need to solve a big technical challenge.
When the exact nature of the law is still being decided and the consequences of PSD2 are still unclear, where should you start?
My recent work at FICO to make AI better has drawn upon my background in theoretical physics to create what we call defensive AI. This is needed, because AI-based attacks are not science fiction — they are happening today.
Why do we call artificial intelligence "artificial"? Why don't we just call it intelligence? Because even though AI often does exactly what we want extremely well, it sometimes gets it horribly wrong.
Does EFL’s psychometric scoring work across countries, cultures and population segments?
PSD2 means an unprecedented degree of change, and to cope successfully you need tools that can adapt - a strength of machine learning.
Imagine the following scenario. Tom bought an expensive house pre-GFC but then lost his well-paid job and has been struggling with the mortgage ever since. He goes online to his small state bank and up pops a home equity line-of-credit marketing offer. It’s an offer he finds pretty insulting given he is underwater on the existing loan and was just talking to the collections team a few hours ago. Mismatched offers like these hurt the customer experience and waste the efforts of lending organizations and their risk and marketing teams. While larger banks have been able to solve a lot of these problems for many years, they have been spending many millions of dollars to do so. Rolling out intelligent, risk-aware marketing informed by their own customer data or external sources such as credit scores has been complicated and expensive. Today however, a confluence of technology advances and deployment in... [Read More]