​​ AI and content management

Artificial Intelligence is indispensable when it comes to understanding vast amounts of data and fully automating routines. And these capabilities can be hugely beneficial in the field of content management. Let’s take a look at a few of the main uses of AI in content management:

Intelligent information analysis.
Artificial intelligence can analyze a piece of data in a fraction of a second to determine the mood of the content, its content, and its overall tone. This enables the content manager to quickly work out whether a particular piece of information is suitable for that audience or whether additional tweaking and customization are required to get that content interested in the consumer. Artificial intelligence is great at categorizing content, analytics, tagging, sentiment research, getting keywords, etc.

Image tagging.
The visual aspect is an important part of any content. And automatic image tagging can save content managers a lot of effort and time. AI can do this in fractions of a second, freeing up human hands and heads for other tasks.

Scalable personalization and predictive work.
AI is capable of observing user behavior, tracking user activity, and collecting and analyzing this data. With this information, it is possible to make predictions: what might interest a user the next time they visit. This allows you to optimize content, personalize information, and provide up-to-date information on products.

Content creation.
AI systems can already write news articles, and structured reports, do transcription, translation, and editorial. Yes, artificial intelligence systems can’t harness creativity and come up with truly original ideas, but they’re great at freeing up human time to do so.

Presumably, in the long term, artificial intelligence will further improve interaction with and creation of content.

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