560 Results from /ai
Retired Member
We have been asked to explain the differences between rules-engines and machine learning for anti-money laundering/banking secrecy act applications on numerous occasions. This question typically arises from the compliance team, wanting to better understand the difference between their current process and that used by AI-based, SaaS AML systems. ...
08 October 2019 /ai /regulation Banking Regulations
Micah Willbrand Product Director ID&F at Experian UK&I
Fraudulent applications present a significant risk to a businesses’ success and reputation. As criminals become more sophisticated in targeting credit cards, loans, current accounts and other financial products, its critical lenders and other organisations ensure their fraud prevention systems are fit for purpose. One of the ways businesses can me...
08 October 2019 /ai Artificial Intelligence and Financial Services
There’s not much you can’t get on the dark web; it’s a lawless haven for cybercriminals. As businesses continue to utilise increasingly stringent identity checks, fraudsters will always be trying to get one step ahead. Currently on sale on the dark web are passport scans. For just £55 you can get a typical passport scan with accompanying selfie. I...
07 October 2019 /ai Artificial Intelligence and Financial Services
Urvish Macwan Team Leader at Hyperlink Infosystem
It has been using in many professions such as health, transport, education, engineering, business analytics, e-commerce, etc. Each profession was looking for the top app development companies, as the future is going to depend on a compact manner in the usage level of artificial intelligence for the user. Due to artificial intelligence, the markete...
03 October 2019 /ai
Mark Goldspink CEO at The ai Corporation
Fraud has reached the highest levels on record, affecting more organizations than ever. The scale of the problem was revealed in last year’s PWC Global Economic Crime and Fraud Survey. Of the 7,228 businesses contacted by PwC, across 123 territories, 49 percent reported that they had experienced fraud or economic crime, over a two-year period. Mod...
01 October 2019 /ai /security Artificial Intelligence and Financial Services
Sophia Brooke Project Manager at Independent Consultant
More than 60 years have passed since artificial intelligence was a daring concept at Dartmouth Сollege which only got half of the requested funding. Right now, AI is a $9.5 billion industry, projected to reach $118.6 billion by 2025, according to Statista. Due to its immediate applications in streamlining processes, improving customer care, and ma...
29 September 2019 /ai Banking Strategy, Digital and Transformation
Integrating alternative data into the investment process is the future of portfolio management, yet the practice of identifying valuable, non-traditional data sets is age old. Some call it fundamental analysis, like interviewing customers about a company’s product. Others call it plain smarts, like using satellite imagery to measure crop yields ...
27 September 2019 /ai Artificial Intelligence and Financial Services
The REGTECH Book: The Financial Technology Handbook for Investors, Entrepreneurs and Visionaries in Regulation, Wiley August 2019. Authors: Janos Barberis, Douglas W. Arner, Ross P. Buckley. Amazon link My print copy of the long awaited RegTech book ships from Amazon next week and promises to be a comprehensive resource, crowdsourced from more th...
20 September 2019 /ai /regulation Banking Regulations
Bo Harald Chairman/Founding member, board member at Trust Infra for Real Time Economy Prgrm & MyData,
My top 5: 1. Climate crisis awareness growing exponentially. Overconsumption and overpopulation (5 billion! more than 70 years ago) on everybody's mind. This will force enterprises to change fast. Owners are also seeing the challenge. Investors move huge sums to sustainable alternatives. Politicians unfortunately still fishing votes in the muddies...
12 September 2019 /ai Open Innovation Ecosystems
Sray Agarwal Specialist - AI and ML at Publicis Sapient
Artificial intelligence (AI) and machine learning (ML) promise a smarter, more automated future for everyone. But the algorithms that underpin these technologies are at risk of bias, a substantial threat that could undermine their entire purpose. What exactly is AI bias, why is it important for financial services (FS) firms to avoid it and how can ...
11 September 2019 /ai /retail Artificial Intelligence and Financial Services
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