AI Knowledge Management

What does AI knowledge management mean?  

AI knowledge management is a strategic approach that leverages AI to improve the collection, creation, curation and discoverability of internal and customer-facing knowledge bases. It is the cornerstone of knowledge sharing and renders a sharp competitive advantage to brands. There are many benefits of using an AI-powered knowledge base: 

• Efficiency and automation: AI simplifies the end-to-end process of knowledge management and makes it more data-driven and insights-led. 
• Informed decision-making: AI processes vast amounts of user data, identifies patterns from it and extracts actionable insights that brands can use to inform strategic decision-making. 
• Adaptability and scalability: AI knowledge management systems are built on self-learning models that evolve when new user behaviors emerge. There is no need to manually update or hardcode them. 

 If you’ve understood the basic meaning of AI knowledge management, let’s move on to its implementation. 

How to establish AI knowledge management in your organization 

Implementing an AI knowledge management system revolves around these broad steps: 

1. Assess your current state: What are the pain points and gaps in your current system? 
2. Define your objectives: What are you striving for – insights? Competitive edge? Customer support? 
3. Prepare your data: Gather customer behavior and interaction data and clean it for use. 
4. Train AI models: Train NLP models to analyze the data, extract insights and fine-tune content recommendations and personalization. 
5. Create and vet content: Establish approval workflows and quality benchmarks for AI-generated content. 
6. Integrate with existing systems: Integrate the system with your chatbots, websites, apps and team communication systems. 

Or you could simply invest in AI-powered KB software that automates all the above steps for you. Curious? Book a trial with us. It’s free for 30 days!