Banking.Vision
AI governance is a comprehensive framework that defines responsibilities for the use of artificial intelligence in a company and ensures the safe, ethical, transparent and legally compliant use of AI. The new BaFin guidance clearly classifies artificial intelligence as an ICT risk under DORA. With the help of the three-pillar model and robust AI governance, banks are able to meet strategic and operational requirements.
Banking.Vision
Most AI initiatives in banks fail not because of technology, but because of structure. This white paper shows you how to avoid the „use case trap“, measure initial successes and establish AI as an integral part of your organisation. Get practical best practices, project reports and a robust operating model for artificial intelligence.
Banking.Vision
Customer Magazin NEWS 03/2025 AI resilience, i.e. the ability of AI systems to withstand disruptions, atypical situations and attacks, is a regulatory and security necessity. In view of international tensions, particularly in transatlantic relations, credit institutions are increasingly focusing on AI and cloud dependencies outside Europe and the risks arising from them.
Banking.Vision
Customer Magazin NEWS 03/2025 An ESG scoring service such as msg.CST from msg for banking offers banks an efficient and scalable solution for meeting regulatory requirements and making sustainable credit decisions with AI-supported data collection, standardised assessments and a pay-per-use model.