The Role Of AI In The Future Of Content Management Systems 7wData

For some, it enhances customer experiences; for others, it reduces costs through automation. We've already seen examples of AI powering content processing and analysis, and it's set to become a crucial part of the content generation process. My company, Contentstack, was one of the firstheadless content management systems (CMS) to embed AI into its editor experience. Turnkey integrations with IBM Watson, Salesforce Einstein and MonkeyLearn have allowed our customers to leverage AI to create highly personalized digital experiences that go beyond standard demographics and traditional audience segmentation. Here are just a few ways AI has already begun to impact today's content management systems: Text intelligence and analysis: AI can already analyze the tone and sentiment of content and suggest if it is suitable for the intended audience.IBM Watsonand MonkeyLearn, for example, have developed intelligent systems that leverage natural language processing (NLP) to provide text intelligence services such as language detection, keyword extraction, profanity detection, news categorization, sentiment analysis and so on.