Agentic AI Business Strategy: A Conversation with Charlene Li
42mGeneral2024-11-12
Authors
Ashley Kennedy
Managing Staff Instructor at LinkedIn Learning
Course details
In the fast-evolving world of AI, autonomous agents are reshaping business innovation, decision-making, and leadership. In this interview-driven course, AI thought leader Charlene Li explores the world of agentic AI—AI agents capable of autonomous, adaptive actions. Gain insights into implementing AI solutions aligned with strategic goals, overcoming challenges like executive hesitation, and building trust. This course is perfect for leaders and business strategists ready to thrive in the age of intelligent agents.
Learning objectives
Evaluate AI readiness and align solutions with your strategic goals.
Identify the knowing-doing-leading gap in AI adoption.
Assess the limitations of AI agents, with practical advice on maintaining trust, transparency, and control.
Illustrate the ethical landscape of AI and learn how to adopt responsible AI policies.
Learning objectives
Evaluate AI readiness and align solutions with your strategic goals.
Identify the knowing-doing-leading gap in AI adoption.
Assess the limitations of AI agents, with practical advice on maintaining trust, transparency, and control.
Illustrate the ethical landscape of AI and learn how to adopt responsible AI policies.
Skills covered
Business StrategyArtificial Intelligence for BusinessBusiness Analysis and StrategyLeadership and ManagementOne-Off
Concepts
0. Introduction
- 01 - Agentic AI leadership for modern business leaders
- 02 - Meet Charlene Li
- 03 - Reviewing the basics on agentic AI
1. Strategic Foundations for AI Integration
- 04 - Why start AI integration with strategy, not technology
- 05 - How do businesses evaluate strategic readiness to adopt AI
- 06 - What does it mean to think big, start small, scale fast
- 07 - How do you balance AI independence with human oversight
2. Overcoming Challenges and Gaps in AI Adoption
- 08 - How do executives overcome fear of investing too soon in AI
- 09 - What is the messy middle of AI adoption
- 10 - What is the knowing-doing-leading gap in AI adoption
3. Ethical AI and Human Empowerment
- 11 - How should companies develop ethical AI policies
- 12 - When is transparency in AI important, and when isn't it
- 13 - How can employees remain empowered during AI integration
4. Leadership and the Future of AI
- 14 - How should businesses decide which type of AI agent is best
- 15 - How can AI learnability and adaptability be transformative
- 16 - What is the untapped potential of agentic AI
- 17 - Will AI fundamentally change what we value in leaders
- 18 - Any last thoughts about AI adoption and leadership