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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