Leading Through AI Agent Disruption
23mGeneral2024-11-01
Authors

Andreas Welsch
Course details
In this short course for business leaders, Andreas Welsch—an internationally-recognized advisor on scaling AI adoption in organizations—shows you how to prepare for the challenges and opportunities of agentic AI as you lead AI transformation in your organization. When you know how to prepare your organization for AI agents, you can maximize the benefits of these technologies while minimizing disruption. Learn how to spot challenges and opportunities for your organization, as well as forecast emerging trends and future developments in AI agents and their potential impact on business strategies. When you complete this course, you will be able to proactively adapt your leadership strategies to stay ahead of the competition and leverage new opportunities.
Learning objectives
Explain the potential benefits and efficiency improvements of AI agents.
Develop strategies to address challenges and risks associated with the implementation of AI agents.
Assess the impact of data quality and bias on performance of AI agents.
Identify the opportunities AI agents create for business efficiency and innovation.
Design a comprehensive plan for integrating AI agents into business processes.
Learning objectives
Explain the potential benefits and efficiency improvements of AI agents.
Develop strategies to address challenges and risks associated with the implementation of AI agents.
Assess the impact of data quality and bias on performance of AI agents.
Identify the opportunities AI agents create for business efficiency and innovation.
Design a comprehensive plan for integrating AI agents into business processes.
Skills covered
AI for Business FoundationsAI Productivity ToolsArtificial Intelligence for BusinessBusiness Software and ToolsOne-Off
Concepts
0. Introduction
- 01 - Preparing for agentic AI
1. Challenges and Opportunities of Agentic AI for Leadership
- 02 - Agentic AI and business efficiency
- 03 - Agentic AI key challenges
- 04 - Agentic AI key opportunities
- 05 - The impact of data quality and bias on agentic AI
- 06 - Transparency and accountability in agentic AI adoption
- 07 - Automating leadership decision-making with agentic AI
- 08 - Human-centric approaches to agentic AI
- 09 - Change management considerations
Conclusion
- 10 - Anticipating what's next with AI agents
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