Celine Delaugere created MyDataMachine in 2021 between India and France with her business partner Ronak Patel. They offer data services to 25+ companies to help them to develop data and AI projects. They operate in different industries like Fashion tech, retail and security.
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AI companies need datasets to train, validate, and evaluate their models, ensuring accuracy and generalization. For example, Google uses massive datasets from search queries and images to improve its search algorithms and Google Photos. Tesla collects data from its fleet of vehicles to enhance its self-driving technology. IBM uses diverse healthcare datasets to develop AI-driven diagnostic tools.
These datasets are crucial for innovation, regulatory compliance, and maintaining a competitive edge, fueling continuous research and product development. Overall, datasets are foundational for the effective and responsible deployment of AI technologies.
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Our task is to create large datasets while ensuring their quality by enriching, expanding, or cleaning the data. For example, in the fashion industry, we might enhance image datasets by labeling clothing items with detailed attributes, expand a video dataset by including footage from new fashion shows, or clean a dataset of product images by removing duplicates and correcting mislabeled items. Additionally, we can use human-in-the-loop (HITL) to generate synthetic images for underrepresented categories, ensuring a more diverse and comprehensive dataset.
