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AI Planet creates multichannel campaigns tailored to meet the goals of data science hackathons and AI challenges. Simply put, you achieve your goals with results that are top-of-the-line in the industry.
AI Planet creates multichannel campaigns tailored to meet the goals of data science hackathons and AI challenges. Simply put, you achieve your goals with results that are top-of-the-line in the industry.
DPhi creates multichannel campaigns tailored to meet the goals of data science hackathons and AI challenges. Simply put, you achieve your goals with results that are top-of-the-line in the industry.
These include thousands of professionals and research students who participate in our AI Challenges and other learning avenues.
and many more…
Case Studies
Hosted in collaboration with Peking University and Capgemini’s AETA Project, this AI Challenge aims to leverage data collected via a novel 3-part sensory system and a machine-learning-based algorithm. To solve this, AETA hosted an AI Challenge on DPhi. As a result, 900+ data scientists participated, and they came up with an AI model which can predict earthquakes with an 87% daily accuracy.
Backed by the UN, World Data League aims to solve high impact challenges. To crowdsource innovation from our community, DPhi collaborated with them and conducted an AI challenge with a problem statement that affects global agro produce and supply chain. Eventually, data scientists from all over the world competed to build a novel model with 88.9% accuracy on the test dataset. The team that developed it has reached the World Semis of the ongoing prestigious AI challenge.
bitsCrunch GmbH is a deep-tech startup backed by Coinbase and several notable companies. bitsCrunch products secure the global trade of NFTs by preventing wash trading and forgery. Their team was looking to hire data scientists across various levels and decided to leverage DPhi’s AI Challenges. Eventually, 340+ data scientists participated in their first ever AI challenge out of which 19 data scientists were shortlisted and the top 7 teams were awarded.
Trell is a social media app with over 100 million+ downloads. They wanted to build a solid AI team and crowdsource innovative ML innovation to build better recommender systems for the newsfeed of their app. DPhi hosted their first-ever AI challenge with the problem statement of optimizing the newsfeed algorithm through given real-world datasets. Eventually, Trell saw participation from 2000+ data scientists and 267 shortlisted ML model submissions.
Engineering Lead, Cisco
“DPhi provided all the features we needed to host the internal coding challenges. Their team supported us with a few custom features to provide a gamified experience through a real-time leaderboard. We were highly satisfied by the outstanding support from the DPhi team and looking forward to continuing our association.”
VP Engineering, Trell
“We strive to deliver world class products to 100 million+ users of Trell, and for this we’ve always explored impactful avenues. I’m delighted that we could find a great partner in DPhi who helped us with our first edition of Data Science Challenge.”
Organizer, AETA Earthquake AI Prediction Challenge
“With DPhi we were able to invite ambitious teams to join our earthquake forecasting competition. The teams who joined us to develop a more accurate algorithm have created the foundation for us to eventually forecast earthquakes similar to how we forecast the weather.”