The art of artificial intelligence

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.

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. With the help of the three-pillar model and robust AI governance, banks are able to meet strategic and operational requirements.

Germany is lagging behind the EU in AI adoption. Whilst Nordic countries make consistent use of AI, Germany gets bogged down in pilot projects. Find out why implementation matters more than strategy — and how banks can catch up now.

AI models are reshaping cybersecurity: for the first time, they can not only identify vulnerabilities but potentially exploit them autonomously. For banks and financial services providers, this creates an immediate need for action — and the right course must be set today.