Dedomena.AI for Banking
Enabling financial institutions to extract superior value of their data without risking privacy in a highly regulated environment.
Dedomena.AI helps financial services companies deploy and improve their AI capabilities at scale by bringing the most performant pre-built AI applets and the most accurate synthetic financial data. Our platform is designed for the challenges and opportunities facing the banking industry from fraud detection to cross-selling opportunities.
Synthetic data for Banking
For financial institutions, it remains challenging to analyze and monetize customer data at the enterprise level due to data silos, labelling issues, privacy regulations, and cybersecurity concerns. The inability to access customer data as a source of insights results in a loss of competitive advantage for banks.
Financial synthetic data plays a key role in the future of the banking industry since customers demand personalization and privacy simultaneously. Synthetic data allows to eliminate data silos and compliance concerns, and at the same time, fuelling AI/ML model building, software testing and data sharing.
Dedomena helps you anonymize and generate high quality synthetic financial data that is 100% GDPR compliant, flexible, enriched and statistically representative. Generate as much as you need to bridge the innovation gap and open up new revenue opportunities.
Dedomena AI Applets for Banking
Our rich set of pre-built AI modules can handle a wide range of use cases and implementation requirements. Fine-tune and customize your models with synthetic data for improved performance.
Customer Scoring
Evaluate customers based on financial behaviour.
Carbon Footprint Score
Use AI to calculate customer's CFS based on financial behaviour.
Related articles
Check out some of our explanatory articles or cross-industry use cases to know more.
Unlocking Value: How Synthetic Data Transforms Data Assets
Discover how synthetic data can transform your data assets into new revenue streams while maintaining privacy compliance.
Synthetic Data for Risk Management in Banking
How synthetic data empowers machine learning for advanced risk management in the banking sector.
10 Use Cases for Privacy-Preserving Synthetic Data
Explore ten powerful use cases where synthetic data enables innovation while preserving privacy.
Industries with Synthetic Data at Their Core
Exploring industries where synthetic data has become essential for growth and innovation.
Enhancing AI Fraud Detection with Synthetic Data
A case study on improving fraud detection models using synthetic data augmentation.
Empowering Fraud Detection with Synthetic Data
How synthetic data is transforming fraud detection capabilities across industries.