the incredible
data ai cloud p|pes conference

Docks Hamburg
Part of Festival

p|pes conference - thinking out of the box in ml and data

Keeping up with the speed of technical innovation is a huge challenge facing everyone working in the engineering & data field.

But with an influx of new hype cycles, how can we cut through the noise and accurately assess if the latest hype is a passing fad or the next big thing?

And, just as crucial: how can we gauge its long-term value and relevance of topics such as machine learning & data to determine the impact they will have on our work & future lives?

Our audience...

...comes with deep background in engineering & technology.

CTOs & Leads

Data Scientists

Data Engineers

Meet the brightest leaders from the world of data and machine learning


Jürgen Schmidhuber
<Scientific Director|​IDSIA>

Since age 15, the main goal of Jürgen Schmidhuber has been to build a self-improving Artificial Intelligence (AI) smarter than himself, then retire. He is often called the father of modern AI. His lab's deep learning neural networks such as LSTM have revolutionized machine learning, are now on 3 billion smartphones, and used billions of times per day, for Facebook's automatic translation (2017), Google's speech recognition (since 2015), Apple's Siri & QuickType, Amazon's Alexa, etc. He also pioneered unsupervised adversarial networks, artificial curiosity and meta-learning machines that learn to learn. He is recipient of numerous awards, and chief scientist of the company NNAISENSE, which aims at building the first practical general purpose AI. He is also advising various governments on AI strategies.


Gene Kogan
<programmer,primate|​machine learning for artists>

Gene Kogan is an artist and a programmer who is interested in generative systems, computer science, and software for creativity and self-expression. He is a collaborator within numerous open-source software projects, and gives workshops and lectures on topics at the intersection of code and art. Gene initiated ml4a, a free book about machine learning for artists, activists, and citizen scientists, and regularly publishes video lectures, writings, and tutorials to facilitate a greater public understanding of the subject.


Thomas Wiecki
<VP of Data Science|​Quantopian>

Thomas Wiecki is the lead data science researcher at Quantopian, where he uses probabilistic programming and machine learning to help build the world’s first crowdsourced hedge fund. Among other open source projects, he is involved in the development of PyMC—a probabilistic programming framework written in Python. A recognized international speaker, Thomas has given talks at various conferences and meetups across the US, Europe, and Asia. He holds a PhD from Brown University.


Johannes Schaback

Johannes graduated in Computer Science in both Shanghai and Berlin and is an expert in software development, eCommerce and Machine Learning. In 2007, he joined Rocket Internet as a founder in residence and software engineer to contribute to online services such as Zalando, eDarling and Toptarif. After that, Johannes co-founded Visual Meta, an online company that runs shopping platforms such as and ShopAlike in 13 countries and which was sold to Axel Springer in 2011. Johannes joined home24 as Chief Technology Officer in April 2018.


Jodok Batlogg
<Founder|​CTO of>

Jodok loves Machine Data, BigData, Sensor Data, high traffic environments, Industrial IoT, Data Visualization, SQL, horizontal scaling, shared nothing architecture, Kubernetes, Docker, Python, Elasticsearch, NoSQL, Linux, Python, SCRUM, agile leadership, agile software development, self-organizing teams.
Jodok has a widespread expertise on open-source and Big Data. He began his work with famous data-sets and recording as an early-adopter from cloud-technology. Before he was a developer from an open-source-database which was a perfect fit for data intensive applications. Furthermore, he was CTO from StudiVZ, where he had the responsibility for the whole product, software-development and the system-operation.
Intermediate Jodok was a docent at the “Fachhochschule Dornbirn” and a leader from the Plone Foundation and Zope Foundation – two foundations for open-source-projects.



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Our partners

We send thanks and respect to our beloved partners that just made it happen.

Premium partners



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Media & curation partners

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Get your ticket now, we've got limited capacity. Be part of the game.

  • Meet germanys most relevant people in Software
  • Exchange with peers
  • Get inspired to change the game
  • Learn about all things data, AI/ML and leadership
  • Keep track with current developments and hypes
  • Meet potential candidates for your company

Call for papers

Be part of the show

You or your company does innovative things with data?
You are on an advanced level and are not afraid of the other speakers?
Then apply now.


Deadline for application is the 15th of march.

Your keynote

A total time of 10-15 minutes (Lightning) is planned for each talk.

Be patient

The selection of the talks is made by our very busy curators. Therefore we ask for patience.


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