In any business situation, it is essential to minimise uncertainty, to verify any potential business success or business failure objectively and to adapt respective cost structures accordingly. Bayesian statistics helps to do exactly that. Suppose, for a moment, that you are a B2C business and someone offers you to take…

An efficient risk management does have to include early risk warning applications in order to tackle with the inherent instability of investment markets and the insecurity coming along with risk decision making. Real estate investment markets are no exception to this. This article is the second part in a series…

The incorporation of early risk warning applications in the management information system of real estate companies is an absolute necessity in order to provide an efficient risk management system. Why? Because instability is a steady companion in real estate investment markets and events like pandemics, wars, rising inflation and increasing…

Creation by Noise Working with original data is often quite limited. Legal, ethical or business limitations frequently hinder the use of an original datasets which -as an inconvenient consequence — hinders the use of high-tech artificial intelligence tools. Imagine the potential use of Deep Learning architectures for medical image classification. Deep Learning models…

Machine learning models and, in front of all, deep learning applications are quite often labeled as “black box” tools. A lot of input data go into the machines. Data are chewed for some time. …

One of the most promising and still more underrated areas of artificial intelligence is the creation of synthetic data. Talking about data analytics, data driven decision making or the embedding of highly advanced artificial intelligence tools in business, research or healthcare, the question of sufficient data availability is a common…

Risk Management Systems, in particular Predictive Analytics Tools, are constantly watching out for early warning signals which could indicate the change in a market development. …

Swarm Intelligence You may call me easily excitable but I find it more than fascinating that we can mirror the swarm behaviour of birds, sheep or bees by mathematical functions and few lines of code in order to use this phenomenon for optimising e.g. machine learning models. The basic principle of swarm…

Data Driven Decision Making A recent article by one of the big deans of data science, Kirk Borne, addressed a very important topic: “How to Go from Data Paradox to Data Productivity with a Business Culture Transformation” In short, it takes more than just to hoard data in order to become an efficient data…