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542 Results from /ai

Retired Member

Retired Member 

Curious Case of Actuarial Science, Geocoding and Machine Learning

“Life insurance is losing its appeal in the U.S. In 1965, Americans purchased 27 million policies, individually or through employers. In 2016, a population that was more than 50 percent larger still bought only 27 million policies. The share of Americans with life insurance has fallen to less than 60 percent, from 77 percent in 1989. Why this is

/ai Financial Risk Management

Brandon Li

Brandon Li Product Manager at Austreme

Brand Protection: Combating Online Counterfeit with AI

Online sales of branded and luxury items have been rising drastically, in the recent decade. While all the brands are investing big money on establishing online stores, organizing marketing campaigns and doing all the operation enhancements, on the other hand, the online counterfeit sellers are taking a free ride on brand owners’ effort and inv

/ai /regulation Financial Services Regulation

John Byrne

John Byrne CEO at Corlytics

Data analytics could be the key to making sense of principles-based regulations

Knowing the rules Principles-based regulation was introduced in 1990 by the Financial Services Authority, the UK’s financial services regulator at the time (since superseded by the FCA and PRA). The approach has since found widespread support among regulators elsewhere, adopted to varying degrees by those from the Hong Kong’s SFC to France’s AMF. ...

/ai /regulation Banking Regulations

Ivy Schmerken

Ivy Schmerken Editorial Director at FlexTrade Systems

Data Science Platforms Help the Buy Side Integrate Alternative Data

Asset managers are looking for ways to mine alternative data sets for investment ideas, recognizing that stock pickers cannot rely on traditional research. An explosion in alternative data, ranging from satellite images to mobile geolocation data and unstructured text, has created an arms race among hedge funds and quantitative funds. Many firms ha...

/ai Fintech

Shailendra Malik

Shailendra Malik SVP - Tech Delivery (Data Platform) at DBS Bank

Data Science, AI and Hype cycles

When in industry more than 50% of new roles are driven towards a specific skill set and when projections from various recruiting companies shows the world being short of certain skilled people and employers are scrambling to find certain type of resources in the market and are willing to pay a premium to get them on-board then it is a clear sign t...

/ai Trends in Financial Services

Sean Neary

Sean Neary Senior Product Officer at Featurespace

The Sting in the Long Tail of Cyber Hacks

The finance world may still have concerns after it was revealed that British Airways (BA) was victim to a two-week long hack that resulted in 380,000 payments being compromised in August. And while everyone might be on high alert today for how fraudsters will use this data trove, the real risk may come further down the line. The hackers used “very...

/ai /security Transaction Fraud Systems and Analysis

Bo Harald

Bo Harald Chairman/Founding member, board member at Trust Infra for Real Time Economy Prgrm & MyData,

There are no corporate customers.. only Mr Same Guy

And no private customers either - just human customers in several roles. A legal person has btw never done anything. So remember this when you create services. Same user experience across roles - and across services. A primary example is to allow the use of e-banking codes as ID in other services that need a strong e-id - and then use them also f

/ai Fintech innovation and startups

Shailendra Malik

Shailendra Malik SVP - Tech Delivery (Data Platform) at DBS Bank

All AI initiatives have an underlying data story

We’re all going overboard with the AI boom and the hype cycle. Problem with all hype cycles is that when we’re at peak the horizon looks beautiful and when the slide begins the avalanches tear apart everything. The AI hype cycle is all in the media houses and newsrooms. On ground ZERO we know how sticky the situation is. Any AI initiative will nee...

/ai Fintech innovation and startups

Retired Member

Retired Member 

Quantum: how might it benefit Financial Services?

OK, so here's the opening admission. I don't 'get' Quantum, yet. It's one of those fundamentals in physics which is hard to grasp beyond the basic, two concurrent states in one space/time. I guess I am in good company. And when I dig around at the other end of the discussion, namely, 'what will it do for us once it has been more fully realised in i...

/ai

Anjani Kumar

Anjani Kumar Principal Consultant - FS Risk & Compliance at Infosys Limited

AI and ML in Financial Services Compliance Management: Use Cases for FIs

“Nobody phrases it this way, but I think that artificial intelligence is almost a humanities discipline. It's really an attempt to understand human intelligence and human cognition.” — Sebastian Thrun (innovator, computer scientist, and chairman & co-founder of Udacity) In an earlier article, where I had shared insights on artificial intelli...

/ai /regulation

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