Editor’s picks: The many applications of Machine Learning in banking

By Alex Hammond | 22 September 2017

Can robots and data stop banks terror financing?

Vicky Beckett, Editor, GTNews

Buying a new printer from ISIS is probably not how many people envision their stationary shopping to proceed. But it was only a month ago that the FBI announced that it had found a senior Islamic State (ISIS) official sent money to an alleged operative based in the US via a global financial network that used fake eBay sales to mask payments. This is a timely reminder about how vulnerable businesses can be to terrorist financing.

How HSBC is using AI in its anti-money laundering compliance

David Beach, Digital Finance Reporter, bobsguide

Gurjeet Singh, co-founder and Executive Chairman of Ayasdi, spoke to bobsguide about the challenges of compliance with anti-money laundering, the characteristics of AI, and how AI is vastly improving false positive rates on suspicious security reports.

The smart route to financial inclusion

Steve Polsky, CEO, Juvo

It’s a Catch 22: to get financial credit, you need a credit history; to get a credit history, someone has to give you credit. And in many developing markets, that’s unlikely to be a bank. Not for the first time, the mobile phone is well placed to come to the rescue – but this time, it needs a little data science help.

“There’s a lot of hand waving with machine learning in Trade Surveillance”

David Beach, Digital Finance Reporter, bobsguide

bobsguide spoke to Dermot Harriss, Senior Vice President of Regulatory Solutions at OneMarketData, about how machine learning and new regulations are changing the landscape of trade surveillance, and how a balanced mix of data management via machine learning can reduce false positives and minimise costs for firms.

Why innovation and automation is the future of retail banking

Ville Rissanen, CEO, Giosg

50 years ago, a new technology swept across banking, transforming the way that consumers interacted with their financial institutions and their money. The launch of the first ATM (or cash machine), in London by Barclays, heralded a new, consumer driven focus for retail banks, with customers deciding when (and later, where) they wanted to access their money. This change allowed banks to shift their focus from applying rules (you may only withdraw money at a specific time) to meeting evolving customer needs.