AI

AI takes on a variety of meanings in content technology. Read more about the language algorithms, natural language processing, and machine learning that affects how content is organized and optimized.

40 posts from AI See another: essays, the business of content, web

June 25, 2020 by deborah-carver

Transcription as a service: Otter.ai review

Otter.ai is a ridiculously intuitive AI transcription software. Read The Content Technologist review.

June 18, 2020 by deborah-carver

How to diversify your algorithmic Spotify playlists

Do you want to listen to different kinds of artists on Spotify and simultaneously raise a middle finger to systemic racism? Here's how.

Members March 5, 2020 by deborah-carver

What's more trustworthy: Garbage language or a Google algorithm?

Should we all chill out about workplace culture jargon and focus on decoding the algorithms that make our lives weird?

February 20, 2020 by deborah-carver in distribution

The best low-cost SEO software: SEMRush reviewed

SEMRush is a popular low-cost SEO software that gathers ranking, link and keyword data. Read The Content Technologist review.

February 20, 2020 by deborah-carver

Content intelligence software, compared: Ceralytics vs. ClearScope vs. MarketMuse

A review of content intelligence software MarketMuse, compared with similar software Ceralytics and ClearScope.

February 20, 2020 by deborah-carver

Language processing formulas and algorithms for the non-mathematically oriented

Language processing formulas break complex text down into component parts and assign meaning, identifying the statistical likelihood that one word or another will occur in relation to another.