What Makes You Tech?

At Data Natives 2019, we’re focusing on the question: What Makes You Tech?

We want to turn the tide at DN19, reconnecting participants with the drive and passion that first drew them to the tech industry.

So: What Makes You Tech? A thirst for knowledge? An ambition to change the world, or revolutionise your industry? The ability to make an impact in your community, your society, on a global scale? How is the future of data changed when we centralise the idea of motivation?

Our talks and workshops this year will put purpose in the spotlight, furthering our mission to connect and inspire participants by putting the human back in tech.

Tracks & Topics

Track 1: Future

Our main stage will play host to a range of thought leaders across industries discussing the future of business. Join us at the Future stage to discover real use cases & actionable strategies for implementing future-facing tech in your business.

23% of attendees are most excited for this track

Track 2: Tech

Deep dives into programming languages, emerging technologies & frameworks and smart passion projects live in our Tech Track. Most of our attendees flock to the Data Natives conference to learn something new- and the Tech track is where that happens.

39% of attendees are most excited for this track

Track 4: Startups

The conventional “Startup Battles” at conferences are often too brief, only offering you a glimpse of the innovative, emerging startups featured. The idea of the Start up Stage is simple: to cut through all the usual conference jargon in startup presentations, and bring you unfettered insights from the freshest startups, all day every day throughout the conference.

17% of attendees are most excited for this track

Track 3: Impact

A new addition for DN19, the Impact track hosts the innovators whose focus is shaping a more inclusive, sustainable and brighter future. Whether that’s through sustainability, healthtech, or data science for social good, the Impact Stage is for the thinkers who are changing our world.

21% of attendees are most excited for this track

Track 5: Health

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21% of attendees are most excited for this track

Schedule

Conference

Hackathon

Future
Tech
Startup
Impact
08:30 - 10:00

Registration: Coffee and Networking

08:30 - 10:00

Registration: Coffee and Working

08:30 - 10:00

Registration: Coffee and Networking

08:30 - 10:00

Registration: Coffee and Networking

10:00 - 10:20

Opening Remarks by Elena Poughia, Founder at Data Natives

10:25 - 10:55

Opening Keynote by IBM

10:25 - 10:55

Data (Eco)systems – engineering for the unknown

By Stefan Urbanek
11:00 - 11:20

"From data swamps to clean data lakes" Best practices for sustainable AI/ML

By Stefan Wittmann
11:00 - 11:20

TBA

By Caroline Sinders
11:20 - 11:25

Decision intelligence using Satellite big data analytics to support agriculture supply chains

By Narayan PrasadN Nagendran
11:25 - 11:45

How to successful start with Artificial Intelligence

By Susan Wegner
11:25 - 11:45

TBA

By Gregorio Ameyugo
11:25 - 11:35

Gender/racial Bias and Discrimination in AI systems

By Gunay Kazimzade
11:30 - 11:35

Geospatial deep learning for solving real-world problems

By Niklas Goby
11:40 - 11:50

Can data science fix the gender gap?

By Agnieszka Michalik
11:50 - 12:10

TBA

By Alistair Nolan
11:50 - 12:10

Re-thinking the structure of event data

By Cara Baestlein
11:55 - 12:05

Open Data and Gender Data: a social, ethical and economical prespective

By Thais Ruiz de Alda
12:05 - 12:10

Gamification of Governance

By Chloe Pahud
12:10 - 13:10

Lunch

12:10 - 13:00

"What's Gender got to do with that?" Panel

By Christoph Raethke
12:15 - 12:50

Panel on Data Journalism

12:15 - 12:50

Lunch

12:55 - 13:55

Lunch

12:55 - 13:55

"Facts & Learnings: How to be a data scientist?" Panel

By Angeli Möller
12:55 - 13:55

Lunch

14:00 - 14:20

Deep Learning on 3D Point Clouds

By Tim Bauer
14:00 - 14:20

TBA

By Joe Harris
14:20 - 14:25

Datastory about the real-estate market in Warsaw

By MichałD Dębskii
14:25 - 14:45

TBA - Representative from Five1

14:25 - 14:45

Knowledge discovery from Satellite Data for Digital Farming

By Aragats Amirkhanyan
14:25 - 14:35

The end of the Currywurst? The data behind our changing food habits

By Alexander Schabel
14:30 - 14:35

TBA

By Peter Fedichev
14:35 - 14:45

Why Statistics are Wrong

By Martin Ocker
14:40 - 14:45

TBA

By Roi Shternin
14:40 - 14:50

TBA

By Thomas Hartwig
14:50 - 15:05

TBA - Representative from Talend

14:50 - 15:05

Data Science for Cows

By Zinayida Kensche
14:50 - 14:55

AI and cancer genomics: how machines will save our lives

By Adrien Philippe
14:55 - 15:05

Data against climate change - can a number save the planet?

By Lubomila Jordanova
15:00 - 15:05

Blockchain in Healthcare

By Lea Dias
15:10 - 15:25

May the BI be with you!

By Elif Schaefer
15:10 - 15:25

I put a carnivorous plant on the Internet of Things to save its life

By Bartosz Mikulski
15:10 - 15:15

Quit talking, start doing!

By Nilesh Jain
15:20 - 15:25

TBA

By Francesco Lo Sterzo
15:30 - 16:05

See the Invinsible: Visualization & Machine Learning

By Sandra Rendgen
15:30 - 15:50

Scrum Master KI Team IAV Maskin: Real-time face anonymization

By Daniel Reppel
15:30 - 16:05

PANEL on Sustainability and Smart Cities

15:50 - 16:05

Data Visualization 101: Using your data the right way

By Adam Janes
15:50 - 16:05

Attacks against Computer Vision applications

By Katharina Rasch
16:10 - 16:30

Networking & Coffee

16:10 - 16:30

Networking & Coffee

16:10 - 16:30

Networking & Coffee

16:10 - 16:30

Networking and Coffee

16:30 - 16:35

Secure and scalable data platforms for analytics & machine learning.

By Andreas Dewes
16:30 - 16:40

We can change the world - we just have to try

By Carsten Roland
16:35 - 16:55

Building web applications with R-Shiny

By Omayma Said
16:40 - 16:45

TBA

By Jon Geater
16:45 - 16:55

Want to have a more positive social impact as a data scientist?

By Ellen König
17:00 - 17:20

TBA

By Marc Weimer-Hablitzel
17:00 - 17:20

TBA

By Alisa Kolesnikova
17:00 - 17:20

Fireside Chat

17:00 - 17:20

Address the virtuous cycle of data use and data quality in humanitarian organization

By Himanshu Ardawatia
17:25 - 17:55

TBA

By Alistair Croll
17:25 - 17:55

Stunning differences between machine and human intelligence

By Danko Nikolic
Future
Tech
Startup
Impact
08:30 - 10:00

Registration : Coffee and Networking

08:30 - 10:00

Registration: Coffee and Networking

08:30 - 10:00

Registration: Coffee and Networking

08:30 - 10:00

Registration: Coffee and Networking

10:00 - 10:20

Opening Remarks by Elena Poughia, Founder at Data Natives

10:25 - 10:55

Keynote speech

By Abel Archundia
11:00 - 11:20

Do you medflix?

By Thilo Kölzer
11:25 - 11:45

Healthcare Panel

By Roman Rittweger
12:05 - 12:15

"Automating Machine Learning for Recommender Systems"

By Fabian Abel
12:10 - 13:10

Lunch

12:10 - 13:00

Data Colonization Panel

By Bart de Witte
12:15 - 12:50

Lunch

12:55 - 13:55

Lunch

12:55 - 13:55

Lunch

14:00 - 14:20

TBA

By Axel Morgner
14:00 - 14:20

"Health data in the wild - and how to trap it for data science"

By Johannes Starlinger
15:10 - 15:25

TBC

By Mark Turrell
15:10 - 15:25

TBA

By Diane Drubay
15:30 - 16:05

Panel on the Future of Work

15:30 - 16:05

"Open Data & API for the Museums" Panel

16:10 - 16:30

Networking and Coffee

16:10 - 16:30

Networking and Coffee

16:10 - 16:30

Networking & Coffee

16:10 - 16:30

Networking & Coffee

17:00 - 17:20

Fireside Chat

Tech
10:00 - 18:00

Example Day 1

Tech
10:00 - 18:00

Example Day 2

Tech
10:00 - 18:00

Example Day 3