My collection of most recent ideas, articles, presentations and projects around AI Transformation & Value Creation, Behavioral Economics & Consumer Psychology, Advanced Analytics & AI
I was honored to be interviewed by Catherine Gray about my role as Head of SME for H2O.ai . I got the chance to talk about my view of the AI industry and especially about AI Strategy and Value Creation. Both topics should receive way more attention! I would be happy to join more discussions about it! #ai#strategy #ml #valuecreation Here the […]
During my time as Director of Data Science for one of the leading innovations and marketing consultancies in Germany, I was the responsible team lead for Data Science & Analytics projects. Although I’ve completed numerous innovations projects with significant business impact, I had a steep learning curve to get there. I want to write about […]
Video of the Meetup with Kadir Hallac, PhD (Senior Director of Data Science and Analytics, Aetna/CVS Health) and Olaf Menzer, PhD (Senior Data Scientist – Decision Analytics, Pacific Life) about the future of AI Strategy and Innovations in the Insurance Business.
The call for accountability in marketing has been growing over recent years to justify total investments in the area. Furthermore, to allocate budgets across different marketing channels, managers have been trying to better understand their contribution to sales. To model the impact of marketing on sales, time-series approaches have been proven to be successful. However, […]
In Part 1, we proposed better revenue and managing regulatory requirements with machine learning (ML). We made the first part of the argument by showing how gradient boosting machines (GBMs), a type of ML, can match exactly, then exceed, both the technical merits and the business value of popular generalized linear models (GLMs) using a […]
Insurance and credit lending are highly regulated industries that have relied heavily on mathematical modeling for decades. In order to provide explainable results for their models, data scientists and statisticians in both industries relied heavily on generalized linear models (GLMs). However, this post argues that it’s now time for a transition to a more contemporary […]