I frequently give talks, here is a selection. You can also see how my hair’s gotten grey over the past few years.

## Data Science in Production

One topic I am quite fond of right now is what it takes to put data science into production, both in terms of architectures, product development, team organization, etc.

### GAIA 2019: Putting Data Science in Production

Here is a keynote I gave in April 2019 at the very nice annual GAIA conference in Gothenburg.

### Machine Learning: Research and Industry

## Search and Recommendation at Zalando

Here are a few talks I gave during my time at Zalando. Not always exactly what my teams were doing, but around the general area of recommendation, search, and deep learning (of course).

### Berlin Buzzwords, 2017, with Alaa Elhadba: The modern architecture of search.

### M.I.E. Summit, 2017: How Deep Learning is Changing Fashion,

### Data Natives 2016: Scaling and Approximation in Complex Data Analysis

## Deep Learning

I have given a few overview talks on deep learning, for example at StrataData, which are not available.

### Keynote at parallel 2017 (in German)

Here is a link, video cannot be embedded.

### Deep Learning in Practice, StrataData London, 2017.

See it here (free as far as I can tell).

## Approximate Counting and Streamdrill

While I was working on streamdrill, I gave a lot of talks about using approximate counting or stream mining to have realtime personalization, recommendation, etc.

### Berlin Buzzwords, 2013: Beyond Scaling: Real-Time Event Analysis with Stream Mining

### Berlin Buzzwords, 2014: Realtime personalization and recommendation with stream mining

## Big Data and other stuff

### Flink Forward 2015: Procedural Programming vs Data Flow

## Academia Stuff

For reference, here’s a talk I gave on Denoising and Dimension Reduction in Feature Space.