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Nasdaq enhances conduct surveillance to ensure compliance and …


Byjanhavi
03/18/2019

Nasdaq uses Digital Reasoning's AI platform to analyse different forms of communication and structured data to determine risk of potentially illegal behavior. The platform analyses behaviors, intentions, and emotions using NLP and machine learning and has helped Nasdaq achieve a 250% increase in detection acuity and 50% reduction in false positives.

Investec achieved a 32% return on implementing an …


Byjanhavi
03/15/2019

Asset management firm Investec has implemented Squirro's Augmented Intelligence solution to consolidate different data sources and generate automatic reports on relevant topics, saving research time.

Deputy introduces AI for automatic shift scheduling for …


Byjanhavi
03/15/2019

Hospitality workforce management system Deputy has introduced an AI feature for determining the best schedule and staff needed to match changing business conditions.

Monzo decreased pre-paid card fraud to 0.1% and …


Byjanhavi
03/08/2019

Monzo's machine learning system predicts which online banking and card transactions are potentially fraudulent. Upon detection, extra security is required to verify user identity. This has led to a decrease in pre-paid card fraud to 0.1% and false positive rate to 25%.

Earthport Payment Network reduces false positives of automated …


Byjanhavi
03/08/2019

Earthport implemented ComplyAdvantage's Transaction Monitoring platform to analyse data in real time to identify and report suspicious payment behaviour which may be linked to money laundering or terrorism-financing. Minimising false positives for this behaviour reduces the amount of human intervention needed making the process more efficient.

American Express Australia used machine learning to identify …


Byjanhavi
03/08/2019

American Express has over 100 million credit card customers globally representing over $1 trillion in annual charge volume. The Australian company used advanced data analytics and machine learning to analyse historical transactions along with 115 variables to forecast customer churn. They were able to identify 24% of accounts that would close within four months allowing them to take preventative save …

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