Morris, Global Head of Crowdsourcing, Wipro Limited.
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“Only a small segment of technologists in the world have the skills to design, build and test intricate data science algorithms, and even fewer companies understand how to find and hire them,” said Michael P. Topcoder addresses the need to have skilled technologists immediately available to collaborate with internal staff, so companies can quickly move from ideation to deployment without disrupting operations.
Harvard Medical School and the Laboratory for Innovation Science at Harvard, the Northumbrian Water Group, SpaceNet, Zurich Insurance Group and other global organizations that use the Topcoder Platform for on-demand access to top IT and data science talent, report high quality results. Topcoder Platform enhancements empower companies with unprecedented ways to process and secure data, increase analytics speed, and avoid costly recruitment and retention challenges associated with IT staffing. Highlights include native GPU support and the ability to develop advanced analytic solutions with any tool, library or cloud application service. And since the time we could allocate to such endeavors until May was occupied with the SpaceNet 6 challenge (where we won the 3rd prize), the team had less than 2 months to come up with their solutions in a challenge that attracted the best and brightest forecasting minds around the globe.Īt Nodalpoint, we are looking forward to explore further this acquired know-how, and to meaningfully apply it into solving real problems in the real world.BOSTON & BANGALORE, India-( BUSINESS WIRE)- Topcoder, a Wipro company, and the world’s largest technology network and on-demand digital talent platform, today announced the addition of new data science and AI features to the Topcoder Platform. Ioannis’ and Costas’ participation to the M5 was tasked by Nodalpoint, as part of our systematic effort to expand our skillset & expertise into cutting-edge domains & technologies. Kudos and congrats to both my colleagues! With Costas ranking 26th in the Uncertainty track.
Teamed-up with our colleague Costas Voglis, they reached the 21st position among 5,500 teams in the M5 Accuracy track (team Nodalpoints): The M Forecasting Competitions, organized for 4 decades by Spyros Makridakis, are the stuff of legend so, I am really proud to report that our own Ioannis Nasios (aka Ouranos), won the 3rd prize among 900 teams worldwide in the Uncertainty track of the latest M5 Forecasting Competition, hosted at #Kaggle: Thanks to the members of the jury who agreed to evaluate the results of Phase 1 and 2.įinally, thanks to BloomUp ( Alexandra EL HACHEM and Jean-Baptiste FLEURY) for allowing us to use their digital innovation platform ( )
and team).ĬERN / CERN Openlab and UNOSAT Team ( Edoardo Nemni and Lars Bromley) - Marco Manca and Taghi Aliyev TerraNIS SAS ( Mohanad Albughdadi, Ph.D. RUS Copernicus - ( Brice Mora, Eric GUZZONATO, Thierry RABAUTE)Įuropean Space Agency - ESA - Phi-Lab - Pierre-Philippe Mathieu, Cristina Vrinceanu and team. The 5 qualified for phase 2 proposed very high quality models and the results were very close! Victor Fomin and François de Vieilleville Team Zephyros ( Alessandro Patruno and Andrey Malakhov) #2 SatShipAI ( Christos Iraklis Tsatsoulis, Ioannis Nasios, Costas Voglis) Nodalpoint Systems
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After 4 months of UNOSAT challenge and fruitful exchange, Phi-Unet is happy to announce the victory of the WASDI team.Īndrea Rapuzzi - A-SIGN Paolo Campanella & Cristiano Nattero - FadeOut Software srl Ramona Pelich & Marco Chini - Luxembourg Institute of Science and Technology (LIST)
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