Explaining artificial intelligence (AI) can be a challenge. This particular video demonstrates the challenges of explainable AI from different perspectives. It came to us from Wired in their article, “Computer Scientist Explains Machine Learning in 5 Levels of Difficulty.”

Understanding machine learning and how it works is valuable to those who are proficient in the technology, but also helpful to be able to explain it to anyone else, in or outside of the field.

Most organizations have little understanding of how AI systems make the decisions they do, and as a result, how the results are being applied in the various fields that AI and machine learning are being applied.

AI is different things to different applications and organizations, and so much more than one technology.

The same goes for Data Harmony. It is so much more than just an editor; it’s a suite of tools to help you with your semantic search journey. The Data Harmony suite analyzes, manages and enriches content – it’s much more than a single-purpose tool.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Data Harmony, harmonizing knowledge for a better search experience.