Schedule

Data Natives attracts the best data scientists, industry experts, leading entrepreneurs, and influencers from around the world. We will focus on data-driven technologies and how they are fueling innovation in integral parts of society such as Mobility, Health, and Government.

Two conference tracks and a day of workshops:

Across 3 days, we will focus on data-driven technologies and how they are fueling innovation in integral parts of society such as industry, healthcare and governance.

Get Hands On

WORKSHOP DAY: GET HANDS ON

Get Hands On

Level up with one full day of intimate workshops, offering practical education on this year’s topics.

As well as unparalleled learning opportunities, workshop attendees get the chance to network one-on-one with our sponsors, workshop leaders, and fellow attendees. The day ends with an exclusive VIP dinner with the stars of DN2018.

Tech Trends

TRACK 1: THE BUSINESS OF TECH

Tech Trends

Track 1 is all about innovation: this is our showcase of the data-driven technologies that will shape our futures. We brought you blockchain before it was a buzzword and AI when it was still a distant dream.

Join us as we dissect what's happening at the cutting edge of technological advancement.

The Business Of Tech

TRACK 2: TECH TRENDS

The Business of Tech

Track 2 offers practical, actionable insights into how game-changing technology makes it out of research departments and into the enterprise.

Across a span of industries, we explore how data innovations are transforming businesses, governments and cities across the globe.

Time

Room 1

Business Workshops
Do you still work with Excel? Key working methods for future teams in the era of data
By Lior Barak

Time

Room 1

Industry Focus and Business Applications
Registration Coffee && Networking
Registration Coffee && Networking
Registration Coffee && Networking
Registration Coffee && Networking
Opening remarks by Elena Poughia, Founder at Data Natives
Opening Keynote
By IBM
AI in Business Applications: Do’s and Don’ts
By Annina Neumann
TBA on 1st November
Improve Business Operations with Decision Optimization
By Dr. Jesco Humpola
TBA on 1st November
Data Science in Clinical Care
By Johannes Starlinger
Open Source Healthcare AI
By Bart de Witte
How to lie with data and statistics
By Iveta Lohovska
HealthTech Panel: Personalized Medicine
Best Practices: data decisions made by successful entrepreneurs Panel
A/B Testing: Lessons Learned
By Dan McKinley
How to Drive Business Transformation with Artificial Intelligence Based on Data Science Use Cases
By Stephan Reimann
Journey from Structured to Unstructured Documents
By Nischal Harohalli Padmanabha
Lunch
Lunch
Lunch
Lunch
Weaponising Algorithms
By Daniel Knapp
TBA on 1st November
BOOST Thyroid: improving autoimmune conditions
By Dr. Vedrana Högqvist Tabor
Blockchain Solution in Practice
By Elke Kunde
AI in HealthTech: Detection of Epilactical seizures based on in ear sensors and Big Data models
By Tim Adams
A talk by Dataiku
Technical Debt in Machine Learning
By Jaroslaw Szymczak
“Data empowered health insights”
By Christian Rebernik
Discussion: Data Scientist Meets Developer
By Stephan Reimann
Marketing Intelligence for eCommerce and Life Sciences
By Thilo Kölzer
Reading China: Measuring Policy Change with Machine Learning
By Weifeng Zhong
The End of The Information Age
By Michael Bayler
TBA on 1st November
Panel: Sustainability
Panel: Data Ethics
Panel: Conducting Business in Other Countries: The Chinese Market
Introduction to Deep Learning with Keras and TensorFlow
By Romeo Kienzle
Networking && Coffee
Networking && Coffee
Networking && Coffee
Networking && Coffee
Workshop: Data Science Platform in Action
By Stephan Lobinger
Big Data’s Dead
By Marc Weimer – Hablitzel
Data is everywhere. Literally. How do you get it in one place?
By Igor Drobiazko
TBA
By Stephen Lumenta
Building a Data Science Consultancy: Tales from the Deep
By Bart Smeets
Measuring the unmeasurable: Using statistics to uncover hidden insights in the offline world
By Heiko Schmidle
Re-thinking Business models: Three Imperatives for Value
By Christian Kruse
By Uwe Diegel

Time

Room 1

Industry Focus and Business Applications
Coffee && Networking
Coffee && Networking
Coffee && Networking
Coffee && Networking
Opening Remarks by Elena Poughia, Founder at Data Natives
Keynote Speech
By Cassie Kozyrkov
Before you dream of AI do your homework
By Susan Wegner
Don Quixote – Wind turbine segmentation in satellite images using Deep Learning
By Dr. Patrick Vetter
Blockchain Solution in Practice
By Elke Kunde
TBA on 1st November
From counting to connecting: a networked and data-driven approach to mapping industrial capabilities for sustainable development.
By Pedro Parraguez Ruiz
Events, Nets, D3: A sexy pipeline for the maritime industry
By Pierre Garreau
Building a Data Culture
By Noa Tamir
Improving Quality of Life in Future Cities: data as a tool to promote sustainability
By Christoph Wollersheim
HR Tech: Building a Data-driven Culture
Panel: The ROI on AI
Discussion: Data Scientist Meets Developer
By Stephan Reimann
Machine Learning and Genetics
By Luis Voloch
TBA
By Thomas Richter
Lunch
Lunch
Lunch
Lunch
Improve Business Operations with Decision Optimization
By Dr. Jesco Humpola
The Nucleus of successful Data Analytics.
By Dr. Rebecca Dautel
TBA
By Axel Morgner
The Data Janitor Returns
By Daniel Molnar
TBA on 1st November
By Jekaterina Kokatjuhha
How to Drive Business Transformation with Artificial Intelligence Based on Data Science Use Cases
By Stephan Reimann
TBA
By Tasos Chatzimichailidis
Interpreting ML: soon it will be a top priority
By Josep Curto
Great Ideas: TBA on October 11th
A User-Centric Approach of AI Accountability
By Claudio Agosti
Panel: Building Tech Communities
Panel on Fraud Detection
Panel: Is AI real or are we manually importing numbers? Best use cases
Networking && Coffee
Networking && Coffee
Networking && Coffee
Networking && Coffee
Workshop: Data Science Platform in Action
By Stephan Lobinger
Visual analysis of Social Media data from Meetup.com using Graph technologies
By Karin Patenge
Feature Engineering Is Your Ticket To Survival In Analytics
By Filip Vitek
Your Product, My Rights: The Data Ethics of Product Development.
By Leitha Matz
Big Data Systems Performance: The Little Shop of Horrors
By Jens Dittrich
Closing Keynote