High-quality Curated Data: Scaling Up AI Using a Data-centric Approach
We have teamed up with The Everest Group to examine the many dimensions of properly preparing data to fuel successful AI initiatives for enterprises.
This paper discusses the importance of high-quality curated data in the success of enterprises’ AI initiatives.
- Understand the AI/Machine Learning (ML) lifecycle
- Study the features and benefits of data annotation and labelling
- Understand the importance of AI-assisted data annotation and synthetic data
- Examine human workforces’ role in the AI life cycle
- Understand the data annotation and labelling services ecosystem
- List the key emerging trends in AI data services