Video course · 14 chapters · 28 min · certificate
Part 33 - AI-Mediated Knowldege Management
AI-mediated knowledge management: what KM is, traditional challenges, AI as a catalyst, knowledge discovery, collaboration via chatbots, personalised delivery, retention and preservation, benefits, limitations, ethics, and future trends like conversational retrieval.
What you'll learn
- Define knowledge management
- Identify traditional KM challenges
- Explain how AI transforms KM
- Use AI for discovery, collaboration and delivery
- Preserve organisational knowledge
- Address ethics and limitations
Chapters
14 chapters · 27:37-
5:28
01Intro Members
Introduction to KM
Last lecture of module 10.
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1:05
02Challenges Members
Traditional KM challenges
Strategies and practices.
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2:07
03AI Members
AI as a catalyst
Transformation.
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1:46
04Technologies Members
AI transforming KM
RPA and more.
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1:06
05Discovery Members
Knowledge discovery
Extraction.
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1:52
06Collaboration Members
AI-enhanced collaboration
Chatbots.
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1:42
07Delivery Members
Personalised delivery
The right knowledge.
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1:05
08Preservation Members
Retention and preservation
Gaps and outdated info.
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1:51
09Benefits Members
Benefits of AI in KM
Efficiency and access.
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2:12
10Limits Members
Challenges and limitations
Data quality.
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1:37
11Ethics Members
Ethical considerations
Transparency.
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1:33
12Future Members
Future trends
What's next.
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1:15
13Capabilities Members
Future AI capabilities
Conversational AI.
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2:58
14Wrap-up Members
Conclusion
Support for employees.
Jobs this course suits
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