The current state of artificial intelligence (AI) and machine learning is stalled, specifically because of how the quality of data impacts both. Datanami brought us this interesting information in their article, “Big Data Meltdown: How Unclean, Unlabeled, and Poorly Managed Data Dooms AI.”
Regardless of the perceived advanced technological status of our society, according to the latest data, the future will be less than stellar if things don’t change about the poor state of data.
The lack of clean, well-managed, and labeled data was cited as a major impediment for enterprises getting value out of AI.
The study found that only 21% of respondents indicated that their data was both ready for AI (that is, it’s organized, accessible, and annotated) and is being used for that purpose. Another 15% report their data is organized, accessible, and annotated, but it’s not being utilized, or it’s being used for other business purposes. Unfortunately bad data is nothing new to enterprises.
Melody K. Smith
Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.
