Information is the most valuable asset. According to legend, Nathan Rothschild earned millions of pounds sterling because he knew the Battle of Waterloo's outcome before anyone else and manipulated the London Stock Exchange accordingly.
Today, it is possible for all companies to generate information about their state, their market, and forecasts in real-time and to develop these continuously.
Artificial intelligence is the dominant topic in companies worldwide. Whether it's about marketing, Industry 4.0, or software development, AI’s reference cannot be missing. But what are we actually talking about here? And what is really behind the term? We explain what AI, machine learning, and deep learning are all about.
Companies cannot handle artificial intelligence like conventional software. We need a fundamentally different understanding of how artificial intelligence can be used in business.
We live in a digital world. Data is available at low cost. Real-time communication is the norm. Customers expect excellent quality and instant service.
Companies collect more and more data. Due to corporate structures and the addition of external data, this data is often stored in different systems. The linking of data silos enables new ways to increase sales and reduce costs.
In this blog post we explain how to work efficiently with geodata in Python.