Data science and machine learning are riding the popularity wave. There is plenty of buzz in social media, crowds at meetups and conferences, and rising interest in postgraduate studies in this area. There is clearly a growing awareness of the power of advanced data analysis methods and the benefits that
In my previous article I reviewed the current state of model risk awareness in the financial services industry by providing an overview of the EU regulatory regime related to Model Risk Management framework, as well as introducing some major challenges that exist in developing a Model Risk Management system. This
Analytics models, that are at the heart of artificial intelligence, have taken on increasing importance in businesses. They are a vital support to decision-making across organisations and networks, and are relied on more and more by executives and teams. However, models are only as good as their inputs, and that
Where does the European insurance industry stand in terms of advanced analytics, artificial intelligence and automation? Do we see that traditional methods of data analysis are now being labeled by the term "machine learning"? Maybe the industry is more advanced than that: Are real chatbots, for example, already ubiquitous? Let's
On the way to visit a customer recently, I heard a feature on the radio that made me stop and think. The feature was about a fitness chain that was about to open the world's largest gym in Germany. The difference was the membership model. Instead of a monthly membership fee, users
Over the summer, I had the pleasure of being involved in a major SAS study on enterprise readiness for artificial intelligence (AI). The study involved in-depth interviews between SAS consultants and 100 C-level senior executives from organisations across the EMEA region. It was designed to explore their understanding of AI,
A bank stress test is the analysis conducted under unfavorable economic scenarios designed to determine whether a bank has enough capital to withstand the impact of adverse developments. Especially in the years since the wake of the 2007-2008 financial crisis, it has been actively promoted by authorities and regulators as
The challenges for banking in emerging markets are similar to those elsewhere, but with fewer resources and structures available to address them. Key issues include expanding the market, and improving financial inclusion, to provide better access to banking services. To my mind, one of the most interesting aspects of the
Algorithm audit is a growing area as companies increasingly rely on machine learning algorithms to make decisions. But what do business managers need to know about these audits? We have a responsibility to audit our algorithms Artificial intelligence (AI) algorithms have an increasingly central role in decision making in our
Data processing, data integration, data quality, data security - all these topics sound like a compulsory program for IT and not as “hot” as analytics, data science, the Internet of Things or artificial intelligence. However, companies globally have long recognized that data management is at least as important as the
