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 startingnow. 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.
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
Registration on the DDS website - mandatory for all participants
Deadline for filling in your profiles
Get to know the cases and the DSS platform
Chat with the Industry Experts
End registration for matchmaking process
Chat with Mentors
Get to know other participants & Pre-event team forming
The Coding continues on 29th Sept!
Expect local fun sessions during the day!
00:00 - 24:00Deep Data Learning and Hard Working
07:30 - 08:45Cases Q&A by Industry Experts
14:00 - 17:00Each team to upload their video on Twitter and Facebook with #Datathon and #GlobalDatathon2018
18:00Deadline to upload a working version of your article [to qualify for the competition]
20:00Semi-Finals Groups Announcement
Ready, Set, Go on 28th Sept!
16:30 - 17:15Official Opening
17:15 - 18:30It's Quest time!
19:00Team article Deadline
19:00- 24:00Local Fun Sessions
It's Show Time on 30th September
00:00 - 11:00 The Work continues!
11:00 Deadline to upload a final version of your article
11:00 - 12:15 Presentations preparation & Semi-Finals Groups Review
12:15 - 12:30 Finalists Announcements
12:30 - 13:30 Online Presentations by the Finalists via Hangout
13:30 - 14:30 Local Fun Session & Finalists Jury
14:30 - 15:00 Winners announcement
15:00 - 17:00 Local Data.Celebration Party
Our Partners
Testimonials
Nishant ChandraData 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 PopovaStudent @ 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 MagenSenior 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!
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.
How does the Datathon work?
Reserve your spot via our Platform
Register on the website and fill in your profile before Sept 24th
Review the Datathon cases
Use the platform to proactively form your team
Grand opening start working with your team
Work with mentors
Upload your results on the DSS platform for a review
Awards and feedback
I don’t have a team, yet. Can I take part in the Datathon?
Yes. It is not mandatory to have a team formed in order to participate. You will have a chance to form a team virtually up until the start of the Datathon.
However, we advise you to register on the Datathon as soon as possible in order to review the cases and start communicating with other participants in order to form your team.
How do I choose a case to work on?
If you already have obtained a ticket via our platform, you have already registered on the Datathon platform. Please start browsing the cases and other registered participants. You will be able to form a team with ease once you have chosen a case to work on.
We suggest the following workflow to choose a case:
Review all the provided cases
Look for a case that will challenge and excite you
Form or join a team that you will have fun with
How will my solution be evaluated?
Your team’s solutions will be evaluated according to several criteria - statistical indicators, resourcefulness of the solution and creativity of visualization.
Can I use the data & algorithms developed afterwards?
You can use the output data and other information provided to you in regard to solving the chosen case only during the duration of the event. You must not use those for personal or commercial purposes outside the event format and activities. With the registration for the Datathon, you agree to also provide your work (analysis, methodology, source code, etc) to the organizers for them to publish on the event page.
How do I join the Datathon virtually?
After purchasing a ticket, you will receive an email with instructions on where and how to register on the Datathon website and start forming your team. Please read the Datathon Platform Guidelines.
How do I present my solution if I participate virtually?
You will submit your work as an article when the 48 hours of the challenge are over. After an evaluation, a list of finalists will be selected. The selected teams will present their cases via Hangouts.
How do I form a team if I am participating virtually?
If you already have obtained a ticket via our platform, you have already registered on the Datathon platform. Please start browsing the cases and other registered participants. You will be able to form a team with ease once you have chosen a case to work on. You will be able to form a team with ease once you have chosen a case to work on.
We also advise you to take a look at the profiles of other participants and start using the chat room(s) for the case(s) that you find interesting. This is a good way to find other experts that would like to work on the same case.
When does the registration end?
The registrations will end on September 24th, 2018.
Registration on the Datathon website will not be closed, so you can register to participate throughout the even or join later to review what other participants have achieved.
General Terms of Participation
With your registration, you accept the following conditions: