Knowledge Base
AI,ML & RPA experiments within Risk Management
For anyone wanting to start experiments with Artificial Intelligence, Machine Learning or Robotic Process Automation in the area of Risk Management the choices can be overwhelming.
That’s why we prepared a few use cases to make this choice a bit easier. See below some suggestions for 4 separate areas in Risk Management.
Data scarcity – Data challenges in the area of Risk Management
In certain cases, the availability of sufficient data or quality of data is limited, this can especially the case in areas such as Operational Risk and Compliance. The short document provides a few ideas how to tackle this issue.
Scalable Risk Management Framework – Stay In Control In A High Growth Organization
High growth Startups and Fintechs can find out too late that their initial risk management structure, controls and processes are no longer adequate for the phase they’re in.
This can be costly realization, and implementing a scalable risk management framework could have avoided that. Check out the document for more information.
Assessments in the development of successful Fintechs and Startups
In the fast-paced world of fintechs and startups, growth and innovation are the keys to success. However, as these companies rapidly expand, adding new features, personnel, and scaling operations, it’s crucial to recalibrate organizational structures, controls, and security standards. Here’s why conducting a comprehensive risk assessment is not just beneficial but essential for fintechs and startups aiming for sustainable growth and investment.
Lessons Learned from Startup Failures
90% of Startups fail largely due to 5 common reasons. Operational Risk is one of them. Check out the lessons learned regarding Operational Risk in order not to make the same mistakes as other unfortunate startups did and use this to strengthen your organization.