Jason Smith, Chief Technology Officer, AI & Analytics at Within3, highlights how many life science data sets contain unclean, unstructured, or highly-regulated data that reduces the effectiveness of AI models. Life science companies must first clean and harmonize their data for effective AI adoption.
The Problem with ‘Dirty Data’ — How Data Quality Can Impact Life Science AI Adoption
June 15, 2023 by Leave a Comment
Avoiding the Negative Impacts of Dirty Marketing Data
April 12, 2021 by 1 Comment
In this contributed article, Sky Cassidy, CEO of MountainTop Data, highlights how consumers are interested in receiving relevant, meaningful messages but too often the data base a company relies on is filled with incorrect and inconsistent information – meaning those messages are lost. Dirty data can have a negative effect on a company’s bottom line, with some business leaders estimating erroneous online accounts have cost them 12% of their overall revenue.
