Artificial intelligence (AI) continues to make advances since its debut about a half century ago. What has changed in the last ten years is that computing power and tools have improved to make it possible for machines to solve more complex problems, so they can handle not just very specific tactical tasks but also make strategic decisions and improve data quality across an organization.¬†DATAVERSITY brought this news to our attention in their article, “Artificial Intelligence Can Take a Dive in the Absence of Data Quality.”

Being able to use AI to make complex decisions based on various inputs has benefited from the power that exists in computers to ingest, process, combine and find patterns in data.

The main challenge for all AI apps is that you need good data sets to train the machine and make sure computers can predict precisely what the person wants to do.

Melody K. Smith

Sponsored by Access Innovations, the world leader in taxonomies, metadata, and semantic enrichment to make your content findable.