Analytics translators have the goal of integrating analytics capabilities in a company. They should identify value cases for the business, and they should help deploy data-driven applications to support or automate intelligent decision making. The role is new and not yet well defined. Attention, it should be clear that this role or related role...

Intelligence is the ability to learn from experience, solve problems, and use knowledge to adapt to new situations (David G. Myers, Psychology 12 Edition). I refer to artificial intelligence (AI) systems as a collection of advanced technologies that allow machines to sense, comprehend, act, and learn. Machine learning and statistical models are...

When writing this article and during my daily work, I often have the challenge of communicating and explaining different topics. Sometimes it is challenging to explaining low-level technical aspects to high-level managers. This article attempts, and I will bounce in wordings and argumentation between technology language and business language. ...

Enterprise Data Science Data science is the art of delivering value through data. Delivering this value to a customer often requires a complex interaction of business understanding, mathematics, and computer science practice. An enterprise is defined as any human endeavor involving people, its purpose to serve a customer, where various kinds o...

Applying and designing machine learning / AI models in a B2B context is often a challenging task. Methods and algorithms used within the context of B2C applications are often not suitable. The two significant differences are: you have to deal with fewer data points, and the processes have often more human touch points. Here some remarks...

Visualization techniques are of high importance in the field of data science and teaching to explain the concepts of AI. Using charts, graphs, and animations to visualize complex topics is easier than poring over spreadsheets or reports. Here, in this article, I started to collect excellent animations explaining parts within the complex world ...

Data Science is the art to extract value out of data. I like the CRISP-DM Process for data science work since it gives a clear structure and guidance for initial value case / prototyping phases. During my lecture at the Technical University of Kaiserslautern I focus heavily in understanding and living each step. Here, my best practices for each...

This post has the goal to archive some elements used throughout this homepage. The static homepage is hosted on Github and is based on ‘Jekyll’.

During my work as a data scientist I carefully follow the trends in the field of artificial intelligence. This post describes one task I regularly perform to analyze the value proposition of different companies

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** This page is generated via Jekyll and the TeXt-Scheme ** TeXt Theme is 100% compatible with GitHub Pages and it has been developed as a gem-based themes for easier use. In this document, you will learn how to install the theme, setup your site, local preview for development, build and publish.

Data science is the art of delivering value through data. The talk ‘Data Scientist - The sexiest job of the 21 century’ was given during my work at BlueYonder in 2015.