The Role Of AI In The Future Of Content Management Systems
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.
Until recently, automatic image recognition lacked the precision required for the task. However, the next generation of AI-powered image recognition and tagging tools can analyze images in seconds. Many platforms have started embedding these tools for keyword metadata enhancement, and this trend is likely to accelerate.
3. Voice-controlled platforms and services: AI-assisted voice services have gone from fantasy to reality in less than a decade. Services such as Apple’s Siri, Google Home, Amazon Echo (Alexa) and Microsoft’s Cortana are increasing the productivity of millions of people every day. Many content management platforms provide voice-assisted services, including voice-to-text and voice commands.
4. Personalized content and marketing: AI algorithms are capable of tracking individual users’ behavioral patterns and can use such data to predict future needs and expectations. This capability is helping marketers deliver personalized content to boost customer engagement, satisfaction and revenue.
Targeted advertising based on demographics and past behavior is the tip of the iceberg; individualized offers, highly-relevant product recommendations and dynamic websites that serve pages based on the user’s past purchase data and most recent actions are becoming table stakes in many industries.
5. Accelerated content creation: Artificial intelligence cannot yet create completely original stories. However, its capabilities, including those of NLP and natural language generation (NLG), can help accelerate the process of content generation. Some of the areas where AI is already helping is content translation, video and audio transcription, auto-tagging and metadata creation, grammar check and content protection.
The Future Of AI And CMS
Here are just some of the ways in which AI is likely to change tomorrow’s CMS platforms:
3. Real-time SEO recommendations: Imagine a CMS that is capable of identifying — in real time — whether your content is better than your competitors’ in terms of search engine optimization (SEO). It might highlight terms that you should or shouldn’t use and provide recommendations to get listed on the first page of target search results.
