RiskTechTalks Dženeta Schitton

In the real estate investment world we were for decade used to certain procedure when it comes to investment decisions - big part being making best and worst scenarios as well as searching all of those in between which could help us justify our investment.

Advanced predictive risk models are enabling us to connect market data with portfolio and gain immediate objective and transparent analysis of the investment and its impact on our portfolio.

As opposed to subjective expectations which are implemented in traditional approaches, advanced and data driven risk models are keeping subjective guessing out of the process and rely solely on objective data.



More about D-DARKS predictive risk solutions you can find on d-darks.com

This time we dive deeper into our own personal experience and motivation when it comes to creating this models. We will also explain how the models handle one of the biggest uncertainties in the market caused by pandemics and explain the background of our tech solutions.

With this episode we are starting with the basic discussion - how it was before and it is partly still done by CRE company and what are the new options offered when it comes to financial risk management.

We are setting the basis for all of the further discussions coming up on this podcast so if you are interested in this topic please make sure to subscribe and leave your comments/questions