Archive

2022-08-29 In Search for the Holy Grail of MLOps: Taming the Beast of ML Use Cases

2022-06-28 How To Organize Data Science Teams

2022-04-28 A Plea for the Technical Founder

2022-04-21 Machine Learning As The Ultimate Test Driven Development

2022-04-08 What is Data Science/Product Fit And Why You Need It

2022-03-31 How To Hire A Data Scientist

2022-03-23 How the data science toolset is getting in the way of doing 5-10 experiments per week

2022-02-08 Why Recipes for Machine Learning Solutions Don't Work

2021-04-05 Everyone Is Still Terrible At Creating Software At Scale

2021-03-02 Don't Do Roles (Only) By Skillset

2020-10-07 Some Thoughts on the Principal Role

2020-05-25 When Big Data became Scalable Databases

2020-05-05 Wardley Maps and the Democratization of AI

2020-01-12 Key AI Trends for 2020

2019-07-23 My 2019 Recap of Machine Learning From Academia To Industry

2019-07-05 Me On A Stage

2019-02-16 Love Being A Lead: Valentine‘s Edition

2018-12-26 The Levels of Doing AI

2018-10-01 But is it AI?

2018-09-22 Love Being A Lead

2018-05-27 How I Make My Figures

2018-03-11 3 Quotes on Leadership

2017-12-25 That Post-Academia Thing I Needed to Write.

2017-09-11 Data Analysis: The Hard Parts

2017-09-06 Three Things About Data Science You Won't Find in the Books

2017-09-03 How Python Became the Language of Choice for Data Science

2017-08-23 AI’s Road to the Mainstream – 20 Years of Machine Learning

2017-08-20 Schlesisches Tor

2017-08-06 What is hardcore data science-in practice

2006-10-14 Hello world!