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Vision and Strategies for Attracting & Driving AI Talents in High Growth // Panel // AIQCON

MLOps.community

NOTE

Evaluate Your Data Curation Path

Data curation involves selecting from three main strategies: hiring an in-house specialist, utilizing an internal crowdsourcing approach, or outsourcing to external labeling companies. Hiring may present growth path challenges, while internal crowdsourcing enhances team engagement with edge cases but lacks scalability. Engaging external partners introduces its own set of data quality issues. Leveraging effective tools for model evaluation can significantly enhance the curation process, ensuring better outcomes in data handling.

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