Hack the Wind image

Boldare Machine Learning Team in the final 3 of Hack the Wind

With the goal of resolving serious problems in the wind energy industry, Boldare’s team of five developers and a product designer took part in a prestigious hackathon. For 48 hours, they worked relentlessly to provide a machine learning-based product to predict wind turbine failures.
Hackthewind

About
Hack the Wind

Hackathon team

This is our chance to make an impact in the future of renewable and clean energy - the future of our planet.

Paweł Capaja

Hack the Wind 2018 is a second edition of a hackathon hosted by InnoEnergy and Wind Europe during the Global Wind Summit. More than 20 development teams competed in a challenge to build a product that uses machine learning to forecast wind turbine breakdowns. It wasn’t an easy task as judges not only looked at the machine learning model the teams created but also the user experience and user interface of the product that they have built.

The teams from around the world worked almost non-stop for two days and nights in a unique environment which allowed them to focus only on the task at hand: come up with new ideas, test them, and innovate at full speed.

The Boldare Machine Learning Team was one of the crews taking part in the competition. You can follow their journey via our Twitter feed @boldarecom and #BoldareHacksTheWind.

Team

Machine Learning Team

Deliverables

A machine learning-based solution
to predict wind turbine failures

Timespan

48h

Cost

Pro Bono

Organised by

Challange sponsor

Boldare Machine Learning Team

The Boldare team has a year and a half’s experience in machine learning. On a day-to-day basis, they consult our clients on the best solutions for their business needs as well as develop and implement artificial intelligence solutions.

Tomasz Bąk photo

Tomasz Bąk

Machine Learning Developer

Paweł Krynicki photo

Paweł Krynicki

Machine Learning Developer

Maciej Papież photo

Maciej Papież

Machine Learning DevOps

Sławomir Zagórski photo

Sławomir Zagórski

Machine Learning Developer

AI, Machine Learning and Deep Neural Networks can help you with a number of problems

The team has really special qualities: they are analytical, business goals-oriented, lean, agile, cross-functional and knowledge-hungry.

Damian Kozar photo

Damian Kozar

Frontend Developer

Paweł Capaja photo

Paweł Capaja

Product Designer

Boldare Machine Learning Team

The Boldare team has a year and a half’s experience in machine learning. On a day-to-day basis, they consult our clients on the best solutions for their business needs as well as develop and implement artificial intelligence solutions.

The team has really special qualities: they are analytical, business goals-oriented, lean, agile, cross-functional and knowledge-hungry.

  • Tomasz Bąk photo

    Tomasz Bąk

    Machine Learning Developer

  • Paweł Krynicki photo

    Paweł Krynicki

    Machine Learning Developer

  • Maciej Papież photo

    Maciej Papież

    Machine Learning DevOps

  • Sławomir Zagórski photo

    Sławomir Zagórski

    Machine Learning Developer

  • Damian Kozar photo

    Damian Kozar

    Frontend Developer

  • Paweł Capaja photo

    Paweł Capaja

    Product Designer

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