''It was taking us 45 minutes to attend a claim before, manually. And now, with a tablet, it only takes us 15 minutes to do it''. Welcome to this episode of FRISS Lab On Tour. We have a special item for you, because we flew to Latin America to see how insurers deal with fraud and industry trends over there. Check out part 1 now!
The upcoming GDPR is hot. But what exactly does it mean for insurance companies? We're meeting with privacy specialists Sander van de Molen and Michel Gielbert from SmartMirrors.
Sometimes we see big differences in results between our customers and that's strange: they all use our software solution. So today we visit our CCO Marc Mulder and we hope he has an explanation for this.
How do insurers implement a software project successfully? We ask Ralf van der Eerden, COO at FRISS. He knows everything about project management and believes in ‘Common Sense Project Management’.
Blockchain is a hot topic. It receives a lot of attention. But how can you actually use it? In this vlog we dive straight into the FRISS Lab, where research is being done into the benefits of blockchain technology for insurers.
Insurers can use a lot of modern tools for preventing insurance fraud, like: machine learning, deep learning and network analysis. Using tools like these often has a major impact.
Mars Samsom, Business Unit Manager at InShared, explains how InShared was founded in 2009 as a 100% online insurer and became one of the most successful insurers in the online market.
Fraudsters are always looking for the weak spot. We should therefore share information about fraud networks. Not only at a national level, but also cross-border.
Nowadays, many claim managers mention that repair fraud is a huge issue. This episode from FRISS Lab is answering to the questions that insurers are often struggling with.
A number of insurance companies already has its own apps to file a new claim, with all information and even images of the actual damage attached to that. This is just one example in which digital information becomes available for the insurance process.
Insurance companies worldwide are dealing with a growing number of screenings in the claims process. The amount of data used in these screenings increases the workload for fraud managers.
As insurers seek to reduce losses, continue their claims transformation projects and look for new ways to use analytics across the enterprise, the focus on fraud analytics is expected to continue to rise.