is creating massive ripples around the world. For some, it enhances customer experiences; for others, it reduces costs through automation. AI analyzes large data sets with ease, enabling better decision making and uncovering new business opportunities.
Now, it's also working its way into Content Management. 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:
1. 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.
2. Automatic image tagging and categorization: Image tagging is a daunting and mundane, yet extremely important task. This is especially true for e-commerce platforms or royalty-free stock image sites where hundreds of images are uploaded every day. Success depends on displaying results that are both accurate and highly relevant to the searched keyword.