Egain Knowledge Academy | Knowledge Insights & Best Practice
Published 9/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.72 GB | Duration: 2h 58m
Learn about knowledge design, best practices, and the basics of using generative AI for knowledge management
What you'll learn
Prioritize knowledge opportunities, integrate knowledge systems effectively, and build a strong foundation for future projects.
Enhance qualification skills, understand economic considerations, and promote effective collaboration among stakeholders.
Develop user-centric design expertise, avoid design pitfalls, master testing and measurement, and embrace continuous improvement.
Develop a holistic approach to change management, engage users, and ensure long-term success.
Develop a user-centric mindset, master transparent communication, and identify change champions.
Strengthen collaboration skills, understand business objectives, and mitigate risks.
Enhance collaboration skills, navigate varying objectives, and ensure project success.
Develop effective adoption strategies, understand project stages, and prioritize user engagement.
Requirements
No knowledge management experience necessary.
Description
The Knowledge Academy is the first-of-its-kind to create a global community of modern knowledge management practitioners. Our Knowledge Insights & Best Practices course is your key to mastering the art of Knowledge Management. Led by industry experts Ian Jones and Linda Yeardley, with over 50 years of combined experience, this course offers a series of lessons each addressing crucial aspects of Knowledge Management that are essential for success.After completing this course you'll be equipped with the most up to date approaches to creating, maintaining, and improving your knowledge content and repositories. Learn what opportunities there are to using knowledge, how to design it, how to engage with users and project teams, how to further improve upon it as your knowledge base grows, and more!Key topics of this course include:Knowledge OpportunitiesQualificationDesignStakeholder GroupsWorking with UsersWorking with the BusinessWorking with the Project TeamAdoptionGenerative AIThe approximate length of this course is 6 hours.The eGain Knowledge Academy is dedicated to helping KM practitioners, experts, and newcomers alike to learn and get certified on knowledge management best practices, share knowledge fundamentals, professional heuristics, and industry expert advice. Our goal is to foster a community that learns, dreams, and builds the next generation of knowledge management together.Sign up today! Scientia Potentia Est!
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Knowledge Opportunities
Lecture 2 Knowledge Opportunities
Lecture 3 Introduction to knowledge opportunities
Lecture 4 Finding the best opportunities & integration
Lecture 5 Different types of knowledge
Lecture 6 Adoption
Lecture 7 Conclusion
Section 3: Qualification
Lecture 8 Qualification
Lecture 9 Qualification through the lifecycle
Lecture 10 Concept and vision
Lecture 11 Technical fit and staff
Lecture 12 Experts, approval, and usage
Lecture 13 Maintenance & managing risk
Lecture 14 Conclusion
Section 4: Design
Lecture 15 Design
Lecture 16 Why is design important in knowledge management?
Lecture 17 Evolution and adoption
Lecture 18 Things to think about when designing UX/UI
Lecture 19 Best practices
Lecture 20 Conclusion
Section 5: Stakeholder Groups
Lecture 21 Stakeholder Groups
Lecture 22 Key stakeholder groups
Lecture 23 The project team
Lecture 24 Conclusion
Section 6: Working with Users
Lecture 25 Working with Users
Lecture 26 Understanding the user
Lecture 27 Engaging with the users
Lecture 28 Managing change
Lecture 29 Conclusion
Section 7: Working with the Business
Lecture 30 Working with the Business
Lecture 31 Who is the business?
Lecture 32 Sponsorship
Lecture 33 Support & pitfalls
Lecture 34 Conclusion
Section 8: Working with the Project Team
Lecture 35 Working with the Project Team
Lecture 36 Your relationship with the project team
Lecture 37 Skillsets and methadology
Lecture 38 Success criteria
Lecture 39 Conclusion
Section 9: Knowledge Adoption
Lecture 40 Knowledge Adoption
Lecture 41 Introduction to knowledge adoption
Lecture 42 Strategy
Lecture 43 Planning
Lecture 44 Communication
Lecture 45 Conclusion
Section 10: Generative AI
Lecture 46 Generative AI
Lecture 47 The best use cases for generative AI in customer service
Lecture 48 Current use cases for generative AI
Lecture 49 Generative AI for new projects
Lecture 50 Generative AI for developing projects
Lecture 51 Generative AI for established projects
Lecture 52 Summary & challenges
Lecture 53 Key takeaways & predictions
Lecture 54 Conclusion
Section 11: Conclusion
Lecture 55 More insight at eGain Knowledge Academy
This course is for all levels, from beginners to seasoned professionals who have an interest in knowledge management.
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