Interview with AI magazine

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 […]

Read more
My breakthrough project in AI Transformation

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 […]

Read more
Budget Allocation With AI

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, […]

Read more
From GLM to GBM (Part 2)

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 […]

Read more
From GLM to GBM (Part 1)

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 […]

Read more