Big data & AI / Data driven

Use cases

Identifying patterns of scams

Financial sector scams are growing exponentially, and criminals are using increasingly sophisticated techniques that affect not only potential financial losses but also the reputational risk of the bank.

We use our expertise in pattern detection in big data to identify fraudulent transactions and help banks identify their customers’ patterns of vulnerability to scams through explainable and interpretable models

Hyper-personalisation

We define personalisation strategies tailored to each client using our capabilities in digital strategy and data, leveraging exponential technologies such as AI for real-time analytics to deliver highly personalised and relevant experiences to each client based on individual behaviour, preferences and needs in real time.

Fraud / Financial crime

Financial crime is one of the greatest challenges for financial institutions, exposing them to compliance risks and potential sanctions running into millions of dollars that can cause irreparable financial and reputational damage.

Babel offers its expertise in pattern detection in big data to identify fraudulent transactions and customers’ patterns of vulnerability to scams through explainable and interpretable models. 

We apply data analytics and AI to the prevention and detection of financial crime, helping banks proactively mitigate these risks.

Contact Babel