Transaction Monitoring
Explainability and oversight over models are the key to successful implementation of AI in Transaction Monitoring. Read on for how bunq and other financials use Deeploy to meet requirements of AI usage in banking and ensure successful productionalization.
Pensions
Learn more about how leading pension management organizations, to the likes of PGGM and Brand New Day, use Deeploy to stay in control of their AI production and maintain trust and integrity in AI for pension management processes.
Healthcare
Learn more about how Healthplus.ai, and other healthcare organizations have leveraged Deeploy to secure a safe, compliant, and easily scalable implementation of AI systems.
Insurance
Learn more about how leading organizations, such as Independer, use Deeploy to keep control and maintain transparent AI operations, mitigating risks and staying ahead of regulatory requirements.
Credit Risk
The high-risk nature of AI in credit risk places financials under strict scrutiny from regulators and public trust. Learn more about how financials, such as Coeo, use Deeploy to productionalize their AI use cases with transparency, trust, and control.
Mental Healthcare
Learn more about how health organizations, such as NiceDay, use Deeploy to implement AI in decision support for mental health therapy with trust, efficiency, and compliance.
Recommender systems
Learn how Deeploy can be leveraged to deliver transparency to consumers and regulators, allowing organizations to deploy and benefit from the use of AI recommender systems while enhancing consumer trust, experience, and satisfaction.
Image Recognition
Learn more about how Vlisco, a Dutch manufacturer of luxury fabrics, uses Deeploy to control and optimize the quality of their machine-learning models, making textile production processes more efficient and reducing costs in manufacturing.
