OVERCOMING KEY CHALLENGES OF MACHINE LEARNING BASED CREDIT SCORING
The rise in available data and access to computing power is challenging banks to look towards artificial intelligence and machine learning as the solution.
There is a new generation of products that are built to overcome the challenges that the first generation of AI solutions didn’t solve and help innovators and risk managers find new technologies to gain a competitive advantage.
This White Paper will cover:
How machine learning can overcome bias and discriminations and provide an explainable model.
How risk models can avoid overfitting, create a more robust predictive model and improve Gini scores over time.
Advances in AI Credit Scoring
New AI technologies that avoid machine learning challenges are penetrating the banking sector.
Technology that delivers more accurate scores for better credit decisions