Which areas of application exist for artificial intelligence in credit risk management? What are the challenges and how can companies benefit?
For some time there has been a lot of hype in the media regarding artificial intelligence. In many areas there is hope that it will provide a higher level of automation or better decisions.
This is not new. In the 1990s there were already high expectations for artificial intelligence but they gave way to disappointment with the results that were achieved.
What is now different and why are far-reaching changes expected? This leads us to the question whether this is also true for credit management.
This Industry INSIGHT discusses the following issues:
Industry INSIGHT: AI in Credit Risk Management
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If the conditions are right, credit decisions in leasing companies, including information gathering, can go through in less than 15 seconds.
What branch a company belongs to is a key factor for correctly evaluating its financial position. In the age of coronavirus, this applies even more than before: the crisis has thrown the risks of certain sectors into serious confusion.
Forecasts that have to be corrected a short time later, and a policy that follows the course of infection with its measures. This means for affected companies: There is no long-term planning possibility.
Meet SCHUMANN at the Job and Career Fair of the University of Göttingen on 10 June 2020. The event will be held virtually this year.
On Tuesday, 19 May 2020, SCHUMANN will be holding an online event with BCR. It will provide information on the best risk management strategies in economically difficult times.
On 10 and 11 March, SCHUMANN will be at the RFIx Convention in London and will actively participate in a panel session on new technologies and the challenges of receivables finance.
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