DEFINING-THE-RIGHT DATA-STRATEGY
DEFINING-THE-RIGHT DATA-STRATEGY
Designing a data strategy that works for your AI project can make all the difference — both by producing significantly higher quality training data, and by saving time and reducing costs. Learn step-by-step how to design and implement a customized data strategy for your organization using methods developed over 30+ years of experience in the data annotation field.
What you’ll find:
- Six factors of data quality and how they’re impacted by the annotation process
- Framework for AI project analysis and how to assess project requirements and limitations
- Method for estimating the amount of training data necessary
- Comparison of various data annotation approaches as they affect security and privacy
- A checklist of data strategy tasks to facilitate decision making
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