Ready, Set, Go at 16:30 (UTC 00)

The official opening of #GlobalDatathon2018 starts soon - follow us on YouTube to get notified!

You love Data, right?

No matter if you have 20+ years as a Data Analysts or you are going fresh out of the college – this fall you will meet 200+ Data Enthusiasts and together you will dive deep into the ocean of Data for 48 hours!

Face real-world challenges
Solve practical business challenges in the areas of IoT, Retail, FinTech, AI and more. Check the previous cases here
Leading experts mentoring and Network

You get to work in a diverse team and receive mentoring from some of the best experts in IoT, Retail, FinTech, AI and other.

Be a part of the community and have fun
Be a part of a strong and focused only on data science community that strives to grow our expertise together starting now. Have fun at this gathering of like-minded people: connect, explore and grow as experts together.

The Cases

IoT
The participants will be facing real-world challenges of the companies by performing temporal, spatial and predictive analysis. They will work with high volumes of sensors data collected within various devices and the goal will be to create machine learning models for quick processing of billions of distinct IoT data records. The teams could enrich the data for every case during the Datathon.
FinTech

The participants will apply their knowledge in financial time-series analytics working with high volumes of data on real-world cases such as credit risk evaluation, high-frequency trading, fraud detection and prevention processes. The goal is to develop a machine learning model for prediction of the markets and to create autonomous A.I. decision-maker for trading/investing.

Retail

The cases will challenge the participants to implement their knowledge about recommender systems and real-time segmentation with business cases such as product recommendations, assortment optimization, personalized marketing and pricing. The case integrates working with transactional basket-level data and long-term historical sales data.

Telenor

Predictive Analytics case

The task is to make a prediction of the future amount of communication fails through time-series analysis.

More info

Telelink

Predictive Analytics case

The task is to predict air pollution within a 24-hour period

More info

Kaufland

IoT case

The task is to predict machine components failure in order to apply predictive maintenance to robot forklifts using historical data.

More info

Ontotext

Classification case

The task is to develop a classification model that can be used on any source to enrich the originally available data with industry sector information.

More info

National Statistical Institute, Bulgaria

Retail case

The task is to develop a prediction model for assessing household expenditure.

More info

Have a Data Solution to your problem & Explore how the international teams are developing their ML algorithms! 

Mentors

Be a Datathon Mentor – get to know and coach Data Scientists from all around the world!

Get the Feeling @ the Datathons

Datathon Local Hosts

If you participating on site, click on the locations and check the local times and the Hosts’ surprises

The Sponsors

All times are in UTC time zone (±00:00)

The Schedule

All times are in UTC time zone (± 00:00); If you participate from India or Bulgaria, please check the hosts' info above for local schedules

Pre-event week

  1. Registration on the DDS website - mandatory for all participants
  2. Deadline for filling in your profiles
  3. Get to know the cases and the DSS platform
  4. Chat with the Industry Experts
  5. End registration for matchmaking process
  6. Chat with Mentors
  7. Get to know other participants & Pre-event team forming

The Coding continues on 29th Sept!

  1. Expect local fun sessions during the day!
  2. Deep Data Learning and Hard Working
  3. Cases Q&A by Industry Experts
  4. Each team to upload their video on Twitter and Facebook with #Datathon and #GlobalDatathon2018
  5. Deadline to upload a working version of your article [to qualify for the competition]
  6. Semi-Finals Groups Announcement

Ready, Set, Go on 28th Sept!

  1. Official Opening
  2. It's Quest time!
  3. Team article Deadline
  4. Local Fun Sessions

It's Show Time on 30th September

  1. The Work continues!
  2. Deadline to upload a final version of your article
  3. Presentations preparation & Semi-Finals Groups Review
  4. Finalists Announcements
  5. Online Presentations by the Finalists via Hangout
  6. Local Fun Session & Finalists Jury
  7. Winners announcement
  8. Local Data.Celebration Party

Our Partners

Testimonials

caret-down caret-up caret-left caret-right
Nishant Chandra Data Science Lead @ AIG Science R&D group, India

What intrigued me the most was that there were some teams which were formed by the organizers (meaning there was no prior dynamics between the team members) and also that some members were remote but they were able to perform very good.

Ana Popova Student @ Sofia University

I liked the most the way in which the Datathon brought people together and provided an excellent game-like learning environment. It was a pleasure to be part of such an amazing event, and I look forward to the next Datathon!

Liad Magen Senior Agile Software Engineer @ Nuance Communications, Austria

It was a very enjoyable weekend, and an honor to participate with you. I learned a great deal. Thank you!

Global Datathon Experience

Be among the First to join the Second Worldwide Online #GlobalDatathon!

Guidelines

FAQ

What is Datathon?

The Datathon is a weekend-long online competition where you are challenged to work on a real-world business case from different areas of Machine Learning, AI, and Data Science.

You and your team have 48 hours to come up with a solution to a real business challenge based on the provided datasets. The jury and the society will award the most precise, but also creative solutions.

The Datathon is entirely held online and opened to the global community via our platform. Anyone who wants to join us in Sofia, Vienna, Zagreb or in Bangalore is welcome.

General Terms of Participation

With your registration, you accept the following conditions: