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

The Architecture Behind a High-Impact CoE for AI Agents & Self-Service

Read More

Building Agents With Snowflake Cortex AI at Every Level

Read More

Dataiku Named a Gartner Magic Quadrant Leader for 4th Consecutive Year

Read More

5 AI Agent Use Cases to Kickstart Your Team's Transformation

Read More