Shaping the future, creating scope for development

Artificial intelligence (AI) is a key technology for the future of banking. As with other important digital technologies, the gains made in terms of speed and efficiency by implementing initial use cases have quickly raised the question of how scalable AI solutions are. Agile methods such as DevOps and focused AI labs offer a means of developing solution strategies and addressing uncertainties arising from internal factors, regulatory requirements and ethical considerations.

Data quantities continue to increase. Data has value. Therefore, the strategic aim of every bank must be to capture this value in everyday business and enhance it in a targeted manner, where possible. But how can this be achieved? The most important aspect is to create order from this chaos. Tasks, skills and responsibilities for handling data must be expediently and functionally delegated across the whole bank. Existing "typical" functions that take a structured approach to data-related matters (such as data architecture, operations, IT security, as well as Legal & Compliance issues) are ideally supplemented by a data management competence center.

Now that the final game at the legendary Wembley Stadium has been played, we can consign the EURO 2020 to the history books. During the championship, logging in to our smartphones using facial or fingerprint recognition to get the latest information on upcoming team line-ups or live scores was incredibly easy and user-friendly. This type of biometric authentication offers customers real added value also in a banking context.