The Future of AI in Content Management
Now that we've delved into the primary intersections of content management and artificial intelligence that are currently enhancing content operations, let's explore some potential ways AI could further revolutionize the field of marketing.
AI Tool Synergy
Consider the scenario where you've used a voice-activated smart speaker, such as a Google Home, to control a device in your home, like a Philips Hue smart light. This interaction demonstrates the seamless collaboration between two distinct AI-powered devices. Similarly, the future holds the promise of innovative and automated interactions among AI-enabled content management systems (CMS) and various content platforms and tools. These interactions are poised to deliver faster functionality and enhanced experiences, benefiting both consumers and marketers.
Real-Time SEO Enhancement
Taking the concept of sentiment analysis to the next level, we anticipate that AI-powered content management systems will soon possess the ability to identify opportunities for real-time SEO improvements. This capability will empower marketing professionals to craft more compelling content efficiently, surpass competitors, and achieve favorable rankings on search engines.
Addressing Content Gaps
In the midst of content creation, it can be challenging to pinpoint areas where your content may be lacking or where competitors' content falls short. However, such situations offer the opportunity to fill these "gaps" and capture additional web traffic. We envision a future where AI evolves to the point where it can intelligently flag content gaps and provide recommendations, enabling you to produce fresh and valuable content that generates new leads.
Automation of Customer Service
Customer service is an essential yet resource-intensive aspect of business operations. Fortunately, AI has the potential to make it less time-consuming and costly. Just as AI empowers content professionals to focus on deep work, AI-powered chatbots have the capacity to streamline and enhance the productivity of customer service teams.
While many of today's chatbots can handle straightforward inquiries by retrieving answers from a knowledge base, we anticipate a future where a significant portion of queries can be addressed without human intervention. After all, consumers seek instantaneous and round-the-clock support when engaging with brand chatbots.
Leveraging the Near-term Advantages of Generative AI for CMS
One of the most exciting AI initiatives in the community was taken by OpenAI itself towards building services and modules amicable with the Drupal ecosystem. OpenAI services have been relatively easy to integrate with Drupal via its APIs and offer a range of uses like text generation, image generation, text analyzation and many more.
OpenAI / ChatGPT / AI Search Integration with Drupal
Let’s take a dive into how OpenAI services can be tailored for users and editors of content management systems like Drupal. Open AI has published a module OpenAI / ChatGPT / AI Search Integration that provides a collection of modules and a ground for integrating OpenAI services in Drupal. From generating text content, images, content analysis and modelling and much more, the suite provides the best way of augmenting and assistive AI for content management in Drupal.
Content Generation and Assistive Tools
Traditionally, we used the Devel Generate module to generate tons of random content and images as placeholders for testing purposes.We can now generate high quality and context-aware content that can be customized to a high degree.
OpenAI provides listed submodules for content related functionalities :
- OpenAI Content Tools (openai_content) :
The module provides a button into CKEditor 5, allowing users to send prompts to OpenAI and receive generated text in response for the users.
- OpenAI CKEditor integration (openai_ckeditor) :
This module streamlines the process of editing content by offering a variety of supportive features. It includes capabilities like modifying the essence of your writing, condensing lengthy text into summaries, automatically suggesting relevant taxonomy terms for nodes, and ensuring content meets moderation guidelines.