Infographic: How Can Data Quality Be Improved?

Scaling AI Lynn Heidmann

Data needs to be valuable (high quality, labeled, and organized) to drive machine learning model success. This infographic reveals some of the challenges data leaders face when it comes to data quality as well as a specific focus on the need for data labeling through active learning.

GM1803-DAC Updating Data Quality Infographic_v03


You May Also Like

What Is Augmented Intelligence?

Read More

Governance: From Research Trend to Enterprise Standard

Read More

Think About Growing Room When Buying an AI Platform

Read More