AI & Machine Learning
C Regione sadipscing ex mea. Option comprehensam ei duo, per facete aperiri deterruisset at, est ut falli viderer tibique. Et tota illum pertinacia sea, ut usu augue vivendum. Amet deseruisse dissentiunt cu est.
Our Chief Data Scientist, Dr Janet Bastiman, recaps the key takeaways of her recent FFECON panel discussion: ‘With Great AI Power Comes Great FinCrime Responsibility’
Here are six recommendations to know if AI is right for your organisation and how to prepare for it.
We talk about why financial institutions implement AI for compliance, and discuss some of the most common implementation pitfalls as well as how to avoid them.
We teamed up with Fintrail for a choose-your-own-adventure session for compliance professionals to discover the steps and pitfalls in AI implementation for AML.
We hosted an event with the Asian Institute of Chartered Bankers, here’s what the panel shared on how AI can detect the flow of dirty money.
Refinitiv’s Emma Miller explains why data is the critical ingredient and the three key considerations for FIs looking to implement AI for AML.
We explore 3 predicate crimes for money laundering and explain how their perpetrators can exploit the financial system to launder their illicit funds.
Dr Janet Bastiman, appeared on the MCubed podcast to discuss explainable AI (XAI), its history and its uses in modern society – especially in anti-financial crime.
Dr Janet Bastiman gave a talk for IBF Singapore on the need for and the history of explainability in AI, she also did some mythbusting and discussed what regulators have to say about explainability.
Regulation Asia hosted a webinar in which Dr Janet Bastiman and her fellow panellists discuss the use of data analytics, AI, and machine learning for AML/CFT; the challenges to adoption, and how to build an AI/machine learning roadmap.
Discover what AI explainability is and how it can help your compliance department.
Our Chief AI Officer disucssed how AI-driven regtech gives financial institues a more holistic view of customer behaviour, reduce false positives, and more in The Paypers.
Technological advances combined with important ethical and moral considerations have helped ensure the best AI-powered AML systems are now highly explainable and therefore simple for data analysts to use.
Our Chief Data Scientist Janet Bastiman discusses how to use AI to analyse customer behaviour and identify financial crime in the midst of a global pandemic.
The need to do AML better is not just a social responsibility case, it’s a business case too. Learn how Predictive Analytics can improve AML systems here.
Discover the challenges associated with implementing machine learning for in your AML programme.
Money laundering in the UK is out of control. An estimated £100bn plus flows through the UK each year.
... and you don’t even need a big cheque, mate.
Our Chief AI Officer Luca Primerano had the pleasure of speaking at the AML & FinCrime Tech Forum hosted by FinTech Global.
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Learn more about compliance, AML and technology, and how we aim to revolutionise this space. We write about industry matters, regulatory concerns, the financial crime headlines and, last but not least, our favourite topics - technology and AI.
