Archives: Agenda

• A review of the market today and addressing the unique preferences of female customers
• Identifying the current barriers preventing more women from working in the automotive industry
• What can be done to improve this imbalance?

This presentation highlights the transformative impact of AI and open banking on the automotive industry, focusing on CRIF’s NEOS solution. It showcases how advanced analytics, machine learning, and data categorization enhance key processes such as customer onboarding, loan origination, and risk management. By combining traditional and alternative data sources, the solution improves credit scoring accuracy, reduces operational inefficiencies, and supports business growth. The presentation also addresses market trends, emphasizing the rising demand for seamless digital experiences and the importance of innovation in the automotive sector.

Harnessing the power of AI within the credit landscape can feel like an enigmatic goal in finance organisations today. Recent years have highlighted the risks of rushing AI products and tools to market without adequate due diligence. To achieve ethical outcomes, AI systems must be fully explainable and auditable—only then can we achieve the fairness and transparency that is imperative for both consumers and regulatory bodies while delivering the innovation needed to stay ahead.

How can you avoid the critical errors and pitfalls associated with AI-driven use cases? What elements must be in place as you embark on the journey? Today, we will discuss recent trends and how organisations like yours can deliver exceptional ROI and client experiences while navigating the new AI environment.