What is the core strength of Artificial Intelligence machine learning when it comes to anomaly detection, pattern, and cluster analysis? Why it is better and traditional screening methods? What makes it so strong?

Literature Review on PhD Level
Artificial Intelligence / Machine Learning to fight Money Laundering / Financial Crime

Please screen the following three articles to understand the topic:
How AI is transforming the fight against money laundering | World Economic Forum (weforum.org)
Artificial Intelligence and Anti-Money Laundering | Sanction Scanner
Artificial Intelligence for Anti-Money Laundering – An Analysis of Solutions | Emerj

The purpose of the literature review is to validate the “marketing promises” with academic research or regulatory recommendations/guidance or statuary provisions
All articles mentioned should be very briefly described (core finding) and but most importantly CRITICALLY EVALUATED.

Part II (5000 words)
Question 1 (1000 words)
What is the core strength of Artificial Intelligence machine learning when it comes to anomaly detection, pattern, and cluster analysis? Why it is better and traditional screening methods? What makes it so strong?

Please focus here on the experiences already made in fraud prevention, e.g.
Top 9 Ways Artificial Intelligence Prevents Fraud – Adolfo Eliazàt – Artificial Intelligence – AI News (adolfoeliazat.com)

Question 3 (2000 words)
What are the main challenges when implementing Artificial Intelligence solutions (obviously it is not enough to just buy a system):
12 challenges of AI adoption – Neoteric

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What is the core strength of Artificial Intelligence machine learning when it comes to anomaly detection, pattern, and cluster analysis? Why it is better and traditional screening methods? What makes it so strong?

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