Google Cloud/ Bayer AI Innovation Platform Hackathon

!!!Registration!!!

Until 15th September 2024 via AI Hackathon (bayer.com)

Hackathon on 24th & 25th October 2024

What is it about?

Bayer’s AI Innovation Platform Hackathon takes place October 24-25, 2024, in Google Offices in Munich. We invite all machine learning engineers / medical software specialists / software engineers / testing engineers / data scientists / students with experience in developing imaging based healthcare AI, who share our passion for innovation and healthcare AI, learning and creating alongside individuals as passionate as yourself! Expect a myriad of spectacular rewards, deeply technical workshops, renowned guest speakers and engaging activities throughout the event.

Who we are?

At our AI Innovation Platform Hackathon, we bring together the dynamic duo of Bayer AG and Google Cloud, like Batman and Robin of the Healthcare AI world (minus the capes, of course). Bayer AG, with its legacy of groundbreaking innovations in healthcare, joins forces with Google Cloud, the new way to cloud, with the AI, data, infrastructure, collaboration, and security tools built for today and tomorrow. Get ready to witness the magic that unfolds when these two giants of their respective fields come together to hack & innovate.

What will you do?

Unleash your creativity and solve real world problems of Software-as-Medical-Device (SaMD) development with technology. This is your chance to test our new AI Innovation Platform and be part of envisioning life changing new features. All geared toward catalyzing the healthcare transformation with AI. Test and code alongside Bayers Lead data scientists, make new connections, have a blast coding with your friends. At the Bayer AI Innovation Platform Hackathon, you will have 20 hours to test our platform, trying to break the system and dreaming about new functionality with all the resources and support you need to make it happen.

Aug. 28, 2024 - Oct. 25, 2024

Bayer AG

Erika-Mann-Straße 33, 80636 München, Germany

$82,000