Having trouble easily moving software from one environment to another? Surely this ought to be an uncomplicated process, especially in the modern age of technology! However, let us consider an analytical model built in a design environment to detect fraudulent credit card transactions. This is now ready to be rolled
Alors que certains annonçaient encore récemment la mort du commerce de détail en magasin, prédiction confortée par la croissance explosive d'Amazon, nous avons clairement vu se profiler une seconde vie des magasins en nous promenant dans les couloirs du Javitz Center de New York pendant la NRF 2020. Le commerce
The amount of data collected and analyzed by hospitals and health care organizations across the world was already on the rise, but the global pandemic has sharpened the focus on data even more. With trends changing not daily, but hourly, during the pandemic, health care professionals struggle to monitor larger
Fraud is a major issue for businesses across all industries, regardless of their size and industry in which they operate. The costs can be enormous (in extreme cases, even fatal) and include far more than the direct costs of any particular type of fraud. Companies must also deal with the
While Brexit has distracted us for the past few years, a far more subtle but important revolution has been happening right under our noses. Artificial intelligence (AI) has become a crucial part of our day-to-day. Self-learning machines are embedded in services or devices used by three-quarters of global consumers. And
The digital world around us is full of data that needs analysing. Maths has become visibly more important.
Recent high-profile money laundering cases have affected the reputation of the EU's financial system. In response, the European Commission is taking immediate action – faster than ever – to close the gaps. On November 2018, only six months after the adoption of the Fifth EU Anti-Money Laundering Directive (5AMLD), the
Data science can be a bit of a lonely job. It’s a shortage specialty, so many data scientists may be the only ones employed by their company. But they still need to learn about what’s new and exciting in the data science world. I caught up with Josefin Rosén about
Today’s business banking models are changing. Internal rating models enjoyed the spotlight for a long time, but new topics are already catching on. Machine learning and artificial intelligence are key new elements in addition to traditional techniques for model development. EU and international regulators have also taken an active interest
How do you convince busy IT integration partners to take a deep dive into new technology without asking them to also first sell a solution to a client? After all, time is money for implementation partners. At SAS, we are keen to introduce our partners and, through them, more clients
