I-COM Data Science Hackathons 2019

aibig datablockchainmedia
Location: Madrid

With the Data Science Hackathons, I-COM pioneered the first public CMO-focused global competition, connecting the magic of Data Science with the world of Marketing.
The I-COM Data Science Hackathons focus on solving real problems and achieving results, often accelerating to outcomes that normally take months of work to achieve or replicate.

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Enter a Team
The I-COM Data Science Hackathons are aimed at companies and universities active in data science as well as students entering independently. For participants, the Hackathons are a rare opportunity to demonstrate ability and achieve recognition in a Global Marketing context.

Why Enter?
◆ Resolve cutting edge issues for brands
◆ Motivate and train your talent
◆ Differentiate your brand on data science
◆ Achieve recognition in the data science area

To enter a team fill in the form on this page: https://www.i-com.org/data-science-hackathons-2019-enter-a-team/

Important Dates
Application deadline - April 1st, 2019
I-COM Data Science Hackathons 2019 - May 10 - 12th, 2019
Networking / Talent Fair - May 13th, 2019
Finalist presentations and winners announcement - May 14th, 2019

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Submit Challenge
I-COM is offering large brands a unique opportunity to unlock new and creative approaches to crack business problems using Data Science. Hackathons aid in supporting Business Transformation while accelerating development time, reducing risk at a fraction of the cost compared to traditional internal approaches and getting fresh perspectives and insights to solving business challenges. Leading brands such as Unilever, Intel and Lufthansa have benefited from the I-COM approach.

If your company is a large international brand, you have a possibility to submit challenge for the I-COM Data Science Hackathons. Check here - https://www.i-com.org/data-science-hackathons-2019-submit-challenge/

Ended
Dates:

May 10, 2019 - May 12, 2019

Organisation:

I-COM

Location:

To be annouonced, Madrid, Madrid

Prizes:

Link to website

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