Building Smarter Knowledge Bases: Generative AI for Knowledge and Support Content

In the age of AI-powered knowledge management, maintaining high-quality, accurate, and accessible content is more important than ever. This eBook explores how generative AI can support knowledge bases while avoiding the common pitfalls of poor input quality. It covers recommended approaches for content governance, localization readiness, and using AI responsibly to keep knowledge and support content clear, consistent, and useful.

Here are some takeaways – for more knowledge and support content best practices, download our eBook:

Improve the quality of AI training data  

Generative AI relies on the data it learns from, and low-quality input leads to unreliable results. The eBook explains why content governance is essential to preventing “garbage in, garbage out” (GIGO). By managing terminology and following clear writing standards, organizations can fine-tune AI systems to produce accurate and consistent knowledge outputs.  

Prepare content for a global audience  

Knowledge bases often serve users in multiple languages. Content that isn’t structured well can be difficult and expensive to translate. The eBook covers how to get content ready for localization early by using clear language, avoiding complex sentence structures, and applying standardized writing guidelines. With the right preparation, businesses can save time and money while improving content accuracy across languages.  

Combine AI with human oversight  

AI can help create and manage knowledge content, but it can’t replace human judgment. The eBook explores how a mix of generative AI and linguistic content quality assurance leads to more reliable content. By balancing automation with human review, companies reduce AI-generated mistakes and build reliable knowledge bases.  

Download the eBook to learn practical steps for improving knowledge and support content with generative AI.