Model deployment is a crucial part of the model life cycle. Having developed and validated your model, you need to be able to put it to work. This “putting to work” stage is called deployment, and it is far from trivial. At this stage, the model ceases to be “training”
As the global economy becomes increasingly digital, the underpinning technologies are dramatically altering the power balance between companies and their customers. While the customer benefits from the access to information and choice between offerings, digital technologies will also significantly improve the performance of well managed organisations. Every business, large or
Combating insurance fraud and anti-money laundering have always been among the key challenges of the insurance industry. Therefore, the opportunity speaks for itself: SAS has great solutions to overcome these issues, only the proper occasion to display these to the target group needed to be identified.
We all are now learning to live with the EU’s General Data Protection Regulation. It has often been viewed as a challenge and a requirement, a box that needs to be ticked before everyone can get on with doing their day jobs again. Recently, however, I have noticed a slight change
Part 6 of this series takes us to the first Dutch SAS partner, PW Consulting, where I talked with Technical Director Willem Boersma, Data Scientist Wouter Hordijk and Sales Manager Jeroen de Nooijer. Company overview PW Consulting was founded in 1988, one year after SAS Netherlands opened. For those who
A new world has opened up in insurance, as the Internet of Things (IoT) changes how insurers and individuals operate. The transition towards a preventative business model is almost inevitable as technology becomes more connected and smarter. Insurance companies cannot afford to ignore the arrival of the IoT, or they
Government fraud defrauds the public, but how can we fight it more efficiently? Are fraud numbers too small to matter? Is there the potential of doing more using less resources? I get the impression that government agencies and organisations struggle to fight fraud, and even how to detect and recognise
Tax administrations are under pressure like never before. Digitisation, both in the public sector and in society in general, is completely changing how data is moving around – for better and worse. It's not really a viable solution to just allocate more employees to manual tax inspections. Advanced analytics is
In my previous post, I talked to Prenton Chetty, Head of Analytics at Nedbank, about changes to analytical projects. In this post, we discuss how data science teams are organised and the operational challenges of running this type of team. Do you think data science teams should be centralised or
I get asked a lot of questions by customers at all levels. They all want to know how to solve their problems, and it is part of my role to help them find answers. The range of questions is extremely broad. Data scientists want to know how they can improve
