Fraud impacts ROI
72%
of business leaders cite fraud as a growing concern over the past 12 months¹
USD 44 billion
worldwide losses due to fraud by 2025²
25%
of declined e-commerce sales transactions were false positives²
Solve your fraud and risk challenges
Data issues
Your challenge
Digital transformation intensifies data issues. Data silos and data overload can lead to an incomplete view of risk exposures, preventing visibility of patterns and behaviors needed for prediction.
Our solution
An end-to-end data science solution to scale analysis across your entire organization. Ability to speed modeling, training and deployment time while simplifying collaboration and adhering to a strong governance and security posture.
Predicting fraud
Your challenge
The rarity of fraudulent activity creates imbalanced data sets. Today's fast transaction times and ever-evolving fraudster schemes make it increasingly difficult to immediately identify, predict, counteract and recover.
Our solution
A platform that supports visual programming in order to upskill your team. More data science for more people, faster discovery and deployment, and deep learning and advanced analytics allow you to move from detection to prediction.
Cost of fraud
Your challenge
False positives require costly manual investigations. ROI is negatively impacted through loss payouts and damaged public image.
Our solution
Make faster, more accurate decisions. Leverage unstructured data and enable deep learning and neural networks to reduce false positives. Use pre-trained API's and one-click tooling to train and develop models faster.
Featured solution: IBM Watson Studio
The IBM Watson® Studio platform provides an end-to-end data science solution that quickly puts AI to work, helping your organization stay ahead of fraudsters. As a single platform for collaborative model development, Watson Studio makes it possible for cross-functional business and technical teams to work together quickly and seamlessly.
Watson Studio enables different sets of users to work together regardless of the types of users they are. It supports teams with easy tooling to help automate tasks and with more advanced tools such as deep learning and neural networks. To learn more, watch this video showing IBM Watson Studio at work in a fraud prediction scenario.
Harness the power of AI at scale
Quickly put AI to work
Watson Studio provides a true business environment on a single platform for users to develop, train and manage models that support fraud detection and prediction.
Enable more employees
Tools such as AutoAI, data refinery and low-code visual modeling help automate tasks for data scientists, and simplify modeling for business users.
Stay ahead of fraudsters
Detect and prevent fraud with a platform that supports advanced tools such as deep learning, neural network frameworks and models in a security-rich, governed environment.
Get deeper customer insights
Easy tooling and access to more types of data — including unstructured data — enables more in-depth investigation and prediction.
Resources to learn more
Accelerating service and controlling risk
DSK Bank protects itself against loss with rapid and accurate credit risk assessments.
Podcast: JPMorgan Chase -Pioneers in Risk Prediction
Hear from Elenita Elinon of JPMorgan Chase, recognized as one of the top 40 Women Leaders in Data and AI for her work with risk and fraud.
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Engage an expert
Get IBM expert advice. Schedule a free session to discuss your fraud detection challenges with an IBM expert today.