Knowledge Management with Artificial Intelligence
Course Code
HRM-011
Date
27 April - 8 May 2025
Place
Dubai
Fees
3000$
Introduction :
In today’s rapidly evolving digital landscape, knowledge management has become a cornerstone of institutional excellence. This course focuses on how artificial intelligence AI can be leveraged to enhance knowledge processes efficiently and effectively. Participants will explore smart tools for acquiring, storing, and sharing knowledge, and how to integrate AI in organizational environments to support decision-making and strategic goals. Designed for professionals and institutions seeking to modernize their knowledge infrastructure and stay ahead in the competitive market using cutting-edge innovations, this course is ideal for those in information systems and communications aiming to apply intelligent knowledge management practices.
Objectives :
- Understand the fundamentals of knowledge management and AI.
- Analyze the impact of AI on institutional knowledge processes.
- Identify smart platforms for knowledge storage and retrieval.
- Apply AI models to analyze knowledge-based data.
- Develop strategies for integrating AI into knowledge systems.
- Measure the role of AI in informed decision-making.
- Explore challenges and opportunities of AI in knowledge work.
- Create action plans for implementing intelligent knowledge systems.
Target Audience :
- Information systems and communications managers.
- Knowledge management professionals in public and private sectors.
- Digital transformation specialists.
- Technical and strategic consultants.
- Professionals integrating AI into institutional processes.
- Technical staff looking to enhance smart knowledge skills.
- Decision-makers aiming to optimize institutional knowledge.
Content Outlines :
Module One: Knowledge Management Fundamentals
- Definition and importance of knowledge management.
- Types of knowledge: explicit vs. tacit.
- Knowledge lifecycle stages.
- Traditional knowledge management tools.
- Organizational knowledge management challenges.
- Effectiveness metrics in knowledge management.
Module Two: Introduction to Artificial Intelligence
- Definition and fields of AI.
- Types of AI used in organizations.
- Real-world AI applications.
- Challenges of AI adoption.
- AI vs. machine learning.
- Data as the engine of AI.
Module Three: Integrating AI with Knowledge
- Smart knowledge systems overview.
- Knowledge representation through AI.
- Contextual analysis of knowledge data.
- AI tools for knowledge extraction.
- Case studies in AI-knowledge integration.
- Practical institutional applications.
Module Four: Institutional Applications of Smart Knowledge
- Intelligent decision support systems.
- AI-powered digital document management.
- Collaborative smart knowledge platforms.
- Automated content classification and recommendation.
- Natural language and text analytics tools.
- Automation of knowledge workflows.
Module Five: Future Challenges and Smart Transformation
- Security of knowledge data.
- AI ethics in knowledge management.
- Scalability and integration challenges.
- Future trends in smart institutional knowledge.
- Strategic planning for AI-driven transformation.
- Sustainable implementation recommendations.