We wouldn't be a tech conference without actually diving deep into technology. At DN19, we have curated a tech track with everything your tech heart desires: from Data Science for cows to IoT saving the life of plants.Read on, as we'll tell you exactly
what not to miss in the run-up to the conference 💙
It's October 24th, which means that ticket prices will increase in a couple of days. Don't miss out on the opportunity to join DN19 with a discount.
Co-create diverse & fair future of work at DN19 Hackathon
DN19 all-night hackathon on November 22-24 at
Maschinenraum is reaching new heights, with more challenges to solve. Our newest partner Bunch.ai throws a challenge to manage and remove bias in AI to make the future of work more diverse and fair.
Developers, data scientists, psychologists, designers, or anyone interested in improving D&I in tech companies are welcome to apply to participate - sounds like your kind of game?
Kensche will show us how Data Science can minimize the number of hormones or drugs a cow receives, so they can live a longer and healthier life.
"I put a carnivorous plant on the Internet of Things to save its life"
Bartosz Mikulski,
Data Scientist at Pub Ocean
Mikulski couldn’t take care of houseplants. So when he was tempted into buying a carnivorous plant, he decided to find help in automation, with a water pump and some sensors.
"Knowledge discovery from Satellite Data for Digital Farming"
Aragats Amirkhanyan, GeoSpatial Team Lead / Lead Software Engineer at Yara International
Satellites play a major role in changing farming and making it digital, as they are a source of information.
"Building successful data teams"
Ole Bossdorf, Head of Business Intelligence at Project A Ventures
Bossdorf will share his learnings and best practices about building data teams.
"Attacks against Computer Vision applications"
Katharina Rasch, freelance Data Scientist
Soon we’ll be interacting with computer vision applications every day. Time to start thinking about the security aspects of such systems.
"Buzzword-driven machine learning"
Karol Przystalski, CTO at Codete
Gaining popularity in recent years, many companies now use Machine Learning. But it’s not always the right thing to do.
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