Category Archives: 4. Content creation

Step 4: How to Create Intelligent Information

Information products in 7 steps
Step 4: Content creation

<< Step 1: Contextanalysis | Step 2: Planning | Step 3: Concept development
>> Step 5: Media production | Step 6: Information delivery | Step 7: Observation of the information product

In the content creation process phase, the contents are created first before the actual information product. The results of the previous planning process phase are an essential prerequisite for content creation. The results of the concept development process phase must be taken into account when creating content. The content creation process phase includes all the tasks that are necessary in order to determine, capture and store the information. This involves contents such as text, graphics, tables, safety notes, animations, films, audio or sensory content.

The content creation process phase also includes integrating existing or supplied contents, Quality Assurance and localization and/or translation. Separation of content from output media has become the rule thanks to the possibilities offered by new technologies. Contents that are created media-neutrally can be used for various output media. The result of content creation is converted into an information product in the subsequent media production, publication and distribution process phases and it is provided for the user.

Related articles on content creation

context engine stephan sigg intelligent information

Context Prediction is The Key For Conversational Chatbots

Andy McDonald 

At the Information Energy Day at tcworld in Suttgart, the level of exchanges between attendees and speakers demonstrates that chatbots are indeed the technology that a lot of companies are trying to embrace. It also confirmed that professionals from the techcomm world have a key role to play alongside the technologists putting them together.

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Artificial Intelligence and Chatbots in Technical Communication – A Primer

Ellis Pratt

It seems likely that artificial intelligence (AI) and AI-driven chatbots will play a key role in helping users in the future. So what does this mean for technical communicators and for User Assistance? In this article Ellis Pratt gives an insight into:

  1. What are Chatbots?
  2. Making a Chatbot
  3. What Does This Mean for Technical Communicators and for User Assistance?

If you want to download this article free as PDF click here.

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