The key factor in machine learning solutions is the data. The developed model will be as good as the dataset was. Therefore, dataset commerce has become one of the trending activities. Exploration of how data can drive economic growth and how trading datasets can create new opportunities in the digital economy might increase data-driven economy growth and provide new opportunities for developers. To utilize the possibilities, dedicated tools have to be developed. Therefore, the challenge invites to generate ideas for solutions, dedicated to sharing data, establishing its selling aspects, integrating multiple datasets to get synergies from it and providing other functions, which could speed up the data-driven economy.
The direction for the challenge ideas, which could be converted into multiple final thesis or individual project topics is the following:
- Framework for enterprise data sharing as a dataset.
- Dataset sharing platform, with automated dataset metadata estimation functionality.
- Automated multiple dataset integration strategies and recommendations.
- Business model for dataset commerce platform.
Regarding more details on the challenge and topics contact Simona Ramanauskaite, VILNIUS TECH.