This 12 hour workshop of four 3-hour sessions, provides the fundamentals needed to begin planning your knowledge ecosystem for use by people and AI.
You’ll understand the basics of designing a knowledge management ecosystem for use by both people and AI. The program gives you a working understanding of how the pieces fit together, so you can plan your ecosystem, recognize what you need, and identify where to build deeper expertise.
Course participants will:
- Explore the components of a knowledge management ecosystem
- Use AI tools and manual methods for designing the ecosystem
- Establish the foundation of your organization’s knowledge management ecosystem
- Establish the foundation of connecting your ecosystem to AI-driven solutions
- Receive feedback on assigned work using your organization’s content
Course Activities:
Lectures
Demonstrations of methods
Quizzes to test knowledge
Workshops with sample content
Homework you can use in designing your own ecosystem
Who should attend:
- Technical writers
- Knowledge management specialists
- Documentation specialists
- Information architects
Course Designer and Facilitator:
Mark Pepper is an Information Architect, Knowledge Engineer, and the principal designer behind Catalynk’s Knowledge Management (KM) Ecosystem for AI: The Basics Workshop. With extensive expertise in designing connected, scalable information systems, Mark helps modern organizations bridge the gap between traditional content management and enterprise AI readiness.
Through Catalynk, Mark delivers this highly practical, hands-on workshop that empowers teams to transform disorganized corporate information into structured knowledge ecosystems that are usable and useful. His work focuses on building the foundational frameworks required for information assets to be successfully used by both human teams and advanced AI models.
Sept. 14, 16, 21, 23, 1:00 pm – 4:00 pm EDT (12 hours)
Four 3-hour sessions: Mon., Wed., Mon., Wed.
Oct. 20, 22, 27, 29, 1:00 pm – 4:00 pm EDT (12 hours)
Four 3-hour sessions: Tues., Thurs., Tues., Thurs.
At the end of this course, participants will be able to:
- Outline a high-level plan for building a knowledge ecosystem
- Explain the purpose of a knowledge ecosystem and its relationship to AI
- Explain the purpose of a content audit and perform a simple content audit on an existing content set
- Identify common content channels and build a basic channel model based on an existing channel
- Explain what a content model is and create a simple content model
- Explain the purpose of taxonomy in a knowledge ecosystem and start development of a basic taxonomy design
- Explain the purpose of metadata and design a basic metadata model from a content audit and taxonomy design
- Explain common reuse methods and start design of a basic reuse model
- Explain the purpose of a content plan and start using a common content plan tool as part of a workflow
- Identify the stages of a standard structured authoring content workflow and describe the roles and handoffs at each stage
- Start the creation of a content standard that includes the decisions made throughout the knowledge management ecosystem design
- Explain the role of governance in sustaining a knowledge ecosystem and identify key roles and schedules for governing a knowledge management ecosystem
- Identify which parts of your knowledge ecosystem will need deeper expertise in your organization and plan next steps for building that expertise
You’ll take away for immediate use:
- Content audit of your sample content set
- Basics of a channel model of one of your publishing channels
- Basics of a content model based on your sample content set
- Initial taxonomy design
- Initial metadata model
- Basics of a storage model
- Basics of a reuse model
- Content plan tool for future use
- Basics of a content workflow
- Initial content standard
