High-quality Curated Data: Scaling Up AI Using a Data-centric Approach

Artificial intelligence is supposed to realize its promise by accomplishing more with data than any human being possibly could. However, AI needs good data to solve business problems and to achieve breakthroughs. At Centific, we believe that people are essential to ensuring AI is trained with good data.

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