LLMs for Leaders and Senior Product Managers - Driving Innovation Through Generative AI

Overview

Discover practical strategies for leading AI transformation through real-world case studies, focusing on leveraging LLMs to drive innovation and organizational change.

Syllabus

• Introduction to LLMs in Business
Overview of Language Models
The Evolution of LLMs: From GPT to GPT-4 and Beyond
Key Terms and Concepts
• The Strategic Role of LLMs in Innovation
Identifying Opportunities for Innovation Using LLMs
Case Studies: Successful AI-Driven Innovation
Business Models and LLMs: Creating Value and Differentiation
• Implementing LLMs in Product Management
Integrating LLMs into Product Roadmaps
Managing Stakeholder Expectations
Balancing Innovation and Practicality
• Driving Organizational Change with LLMs
Building a Culture of AI Adoption
Change Management Strategies for AI Integration
Training and Upskilling Teams for AI Readiness
• Practical Strategies for Leading AI Transformation
Developing an AI-Focused Leadership Mindset
Identifying and Overcoming Implementation Challenges
Ensuring Ethical AI Use and Mitigating Risks
• Leveraging LLMs for Enhanced Decision-Making
Real-Time Data Analysis and Decision Support
Predictive Insights and Future Planning
Case Discussions: Decision-Making with AI
• Measuring the Impact of LLMs on Business Outcomes
Key Performance Indicators for AI Initiatives
Continuous Evaluation and Iteration
Cost-Benefit Analysis of AI Projects
• Future Trends and Innovations in LLMs
Emerging LLM Technologies and Their Potential Impact
Long-Term Strategies for Sustained Innovation
Preparing for AI Advancements and Industry Shifts
• Conclusion: LLMs as Catalysts for Transformation
Recap of Key Learnings
Next Steps for AI-Driven Leadership and Business Strategy
Q&A and Open Discussion

Subjects

Business