It’s imperative that banks embrace technology - driven changes, break down barriers to change and disrupt themselves digitally.
How to address insurers' challenges by providing AI and machine learning to streamline a customer centric pricing process.
Edge computing allows businesses to handle thousands of data points and interactions rapidly and immediately, in real time.
Risk and finance teams know more about each other’s worlds than at any time since risk emerged from finance.
Quantitative risk and finance modeling is no different. Data scientists use a mix of old and new technologies and algorithms.
Which measures financial services can take to keep their customers complaints at a minimum.
Analytics-based approaches in healthcare offer a new way of thinking about fraud. They are able to predict potential events.
The “last mile” is well known in telecommunications and supply chains. Now we face it in the analytical world as well. Read why!
SASChat - Innovation@scale on 14 November. A vivid twitter discussion on how innovation projects become revenue generating services.
SAS study (i.p. w. Harvard Business Review, Accenture, Intel) to learn more about how companies are enhancing their business.
