Most risk credit scoring systems are slow and inaccurate, compared to what the market demands. By applying AI and big data technologies, we can create dynamic risk models using real-time transactional data. This leads to improved credit qualification, improved risk assessment and reduced credit risk where credit risk signals are identified earlier, by at least three months. The benefits include:
Most risk monitoring systems are slow and inaccurate, compared to what the market now demands. By applying AI and big data technologies, we can help your credit risk management department move faster and improve its risk management precision, as well as better managing your risk department’s workloads. This can help you identify credit risk months earlier, reducing handling times and costs by over 40%. We provide:
Powered by AI, BI and Big Data techniques
For a large bank with over 150 branches, we optimized logistics handling of cash in transit using our expertise in AI, BI and Big Data techniques for International Bank. Dormant cash levels were reduced by over 40% and logistical costs were reduced by more than $2 million.
We provided International Bank with:
The western part of the Netherlands is subsiding faster than sea-levels are increasing. This is a significant challenge for today’s real estate industry. Our AI-based predictions provided the necessary insights to manage risk and reduce monitoring costs by more than 60%. We provided:
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