Advanced Analytics for Anti-Fraud and AML Systems
Detecting potentially fraudulent customers and transactions and projecting compelling visual insights have traditionally been a rule-based model plus BI game ...
Detecting potentially fraudulent customers and transactions and projecting compelling visual insights have traditionally been a rule-based model plus BI game ...
Morrison & Foerster's Stephanie Sharron and Andy Serwin discuss the legal and ethical concerns of using AI. The impacts could ...
AI systems based on machine learning can be used to audit financial data efficiently and look for financial fraud, but ...
Russ Berland considers disruptive risks – like the earthquake and resulting tsunami that caused the Fukushima disaster in 2011 – ...
Every company should be expecting a security breach at some point. MetricStream’s Vibhav Agarwal discusses the importance of tackling cybersecurity ...
MetricStream’s Gaurav Kapoor shares insights and trends he’s gleaned from connecting with leading CXOs this summer. Here are some of ...
Talent is every organization’s lifeblood. Jim DeLoach discusses how, coupled with demographic and social trends, the technologies of the digital ...
A Much-Needed Intelligent Approach to Segmentation Anti-money laundering (AML) is a complex and persistent challenge for financial institutions. AI is ...
What happens when decisions made by an artificial intelligence platform lead to injury or damage? Is the “system” responsible? Fox ...
A majority of organizations are still struggling to comply with GDPR, and – just as bad – only 14 percent ...
Cognitive governance is a radical departure from traditional risk management. James Bone explains the benefits and how the former complements ...
Emerging technologies are complicating compliance for financial services firms. Smarsh’s Robert Cruz, an expert on information governance and regulatory compliance, ...
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