Risk AI and resilience in European banking

Explore a collection of insights on digital, analytics, and artificial intelligence and ways to manage related risks, especially within the financial-services context.

Artificial intelligence and analytics can deliver huge benefits for financial services players. However, executives also need to manage the risks associated with digital transformations. This collection of articles provides an overview of our latest thinking and is aimed at helping to guide your important digital transformation decisions.

Featured insights


AI Ethics in today’s world

– Executives and companies can enjoy the benefits of artificial intelligence while also being aware of potential drawbacks and taking... careful steps to mitigate their effects.

Derisking digital and analytics transformations

– While the benefits of digitization and advanced analytics are well documented, the risk challenges often remain hidden.

Derisking AI by design: How to build risk management into AI development

– The compliance and reputational risks of artificial intelligence pose a challenge to traditional risk-management functions. Derisking... by design can help.

Demystifying modeling: How quantitative models can—and can’t—explain the world

– The COVID-19 crisis has brought quantitative models to the forefront. Here are some ways that modeling helps us—as long... as we avoid its pitfalls.
Article - McKinsey Quarterly

Can artificial intelligence help society as much as it helps business?

– The answer is yes—but only if leaders start embracing technological social responsibility (TSR) as a new business imperative... for the AI era.
Article - McKinsey Global Institute

Tackling bias in artificial intelligence (and in humans)

– AI has the potential to help humans make fairer decisions—but only if we carefully work toward fairness in AI systems as... well.
Article - McKinsey Quarterly

Confronting the risks of artificial intelligence

– With great power comes great responsibility. Organizations can mitigate the risks of applying artificial intelligence and advanced... analytics by embracing three principles.

Derisking machine learning and artificial intelligence

– The added risk brought on by the complexity of machine-learning models can be mitigated by making well-targeted modifications... to existing validation frameworks.

Our people

Global Solution Leader & co-leader of Risk Dynamics Executive Committee, Partner | Berlin

Andreas Kremer

Senior Partner | Frankfurt

Eckart Windhagen

Senior Solution Leader | Stuttgart

Frank Gerhard

Associate Partner | Berlin

Torsten Wegner

Questions? Contact the team on Risk AI and resilience in European banking