
AI Leadership Handbook
Andreas Welsch
This audiobook is narrated by a digital voice.
This audiobook is narrated by a digital voice.
The pressure on leaders to incorporate AI into their business has never been higher. Despite their best efforts, 85 percent of AI projects fail. But that is rarely just because of technology.
Between unrealistic expectations of what AI can do, isolated science projects turned into money pits, and employees looking for clarity on how AI influences their jobs, learning how to successfully introduce AI into your organization can be difficult. Getting it right on the second or third attempt is not an option. In order for your AI program to be successful, you need to be aware of all the facets involved, not just the technology—a daunting task. The AI Leadership Handbook prepares you to master the nine most important facets with ease.
Andreas Welsch uses real-world knowledge and examples from interviews with over 60 leaders and experts in AI to help you both introduce and incorporate AI into your organization, from aligning it with your business strategy to turning new-to-AI employees into passionate multipliers to making sure humans stay at the center of your AI use. After reading this book, you will be able to confidently implement AI in your business, no matter your industry.
IN THE AI LEADERSHIP HANDBOOK, YOU WILL DISCOVER HOW TO:
- Leverage the full scope of an AI leadership role
- Win (enthusiastic) buy-in from employees
- Take a product-centric approach to building AI applications
- Build a pipeline of high-value AI capabilities
- Utilize AI ethically, safely, and sustainably
Spanning strategy, stakeholder management, collaboration, culture, ethics, data privacy, risk management, and technology, Andreas covers everything you need to know to become a confident and successful AI leader—and get it right on the first try.
Duration - 4h 12m.
Author - Andreas Welsch.
Narrator - Digital Voice Andreas Welsch E.
Published Date - Sunday, 19 January 2025.
Copyright - © 2024 Andreas Welsch ©.
Location:
United States
Description:
This audiobook is narrated by a digital voice. This audiobook is narrated by a digital voice. The pressure on leaders to incorporate AI into their business has never been higher. Despite their best efforts, 85 percent of AI projects fail. But that is rarely just because of technology. Between unrealistic expectations of what AI can do, isolated science projects turned into money pits, and employees looking for clarity on how AI influences their jobs, learning how to successfully introduce AI into your organization can be difficult. Getting it right on the second or third attempt is not an option. In order for your AI program to be successful, you need to be aware of all the facets involved, not just the technology—a daunting task. The AI Leadership Handbook prepares you to master the nine most important facets with ease. Andreas Welsch uses real-world knowledge and examples from interviews with over 60 leaders and experts in AI to help you both introduce and incorporate AI into your organization, from aligning it with your business strategy to turning new-to-AI employees into passionate multipliers to making sure humans stay at the center of your AI use. After reading this book, you will be able to confidently implement AI in your business, no matter your industry. IN THE AI LEADERSHIP HANDBOOK, YOU WILL DISCOVER HOW TO: - Leverage the full scope of an AI leadership role - Win (enthusiastic) buy-in from employees - Take a product-centric approach to building AI applications - Build a pipeline of high-value AI capabilities - Utilize AI ethically, safely, and sustainably Spanning strategy, stakeholder management, collaboration, culture, ethics, data privacy, risk management, and technology, Andreas covers everything you need to know to become a confident and successful AI leader—and get it right on the first try. Duration - 4h 12m. Author - Andreas Welsch. Narrator - Digital Voice Andreas Welsch E. Published Date - Sunday, 19 January 2025. Copyright - © 2024 Andreas Welsch ©.
Language:
English
>> Opening Credits
Duración:00:00:57
Foreword
Duración:00:06:42
Introduction
Duración:00:03:14
Where Should You Begin If You Want to Set Up AI in Your Business?
Duración:00:05:17
Part 1: Building Leadership Foundations
Duración:00:01:19
Chapter 1: The Forces That Drive AI
Duración:00:01:49
Understanding the History of AI Hype
Duración:00:07:48
Describing What’s Special About Generative AI
Duración:00:03:41
Realizing AI’s Potential Impact on Labor and Economies
Duración:00:07:09
Chapter 1 Key Takeaways
Duración:00:00:47
Chapter 2: Aligning AI with Business Goals
Duración:00:06:10
Creating a Convicted Point of View
Duración:00:03:34
Selecting the Optimal Technology for the Business Problem
Duración:00:03:45
Chapter 2 Key Takeaways
Duración:00:00:56
Chapter 3: Leading in the AI Era
Duración:00:00:04
Leading AI Programs with the Chief AI Officer Role
Duración:00:03:29
Setting Realistic Goals Around Business Transformation
Duración:00:06:47
Using Storytelling to Get Stakeholder Buy-In
Duración:00:07:37
Chapter 3 Key Takeaways
Duración:00:01:15
Part 2: Enabling Organizational Success
Duración:00:00:34
Chapter 4: Designing for People
Duración:00:00:03
Distinguishing Between Projects and Products
Duración:00:01:50
The Project Manager vs. Product Manager/Owner
Duración:00:03:09
Recognizing Inhibitors to AI Project Success and Adoption
Duración:00:04:15
Enabling Product Teams on AI
Duración:00:03:38
Chapter 4 Key Takeaways
Duración:00:01:12
Chapter 5: Cultivating an AI-Ready Culture
Duración:00:00:04
Raising AI Fluency Across the Organization
Duración:00:16:54
Establishing a Center of Excellence
Duración:00:08:47
Identifying AI Opportunities Across the Business
Duración:00:03:34
Chapter 5 Key Takeaways
Duración:00:01:15
Chapter 6: Harnessing Diverse Perspectives
Duración:00:00:04
Designing for Human-AI Collaboration
Duración:00:02:44
Formalizing the Process from Idea to Implementation
Duración:00:04:18
Improving Communication Between Technical and Business Teams
Duración:00:05:16
Chapter 6 Key Takeaways
Duración:00:01:19
Part 3: Implementing AI Responsibly
Duración:00:00:31
Chapter 7: Establishing Principles for Human-Centered AI
Duración:00:00:05
Exploring the Importance of AI Ethics
Duración:00:03:57
Operationalizing Responsible AI Throughout the Business
Duración:00:03:05
Adopting a Risk-Based Approach to Responsible AI
Duración:00:05:39
Redefining Responsibility in the Age of Generative AI
Duración:00:02:03
Identifying Common Challenges of AI Ethics Programs
Duración:00:05:54
Increasing Diversity to Build AI That Serves Us All
Duración:00:03:07
Uncovering the Role of Sustainability and Generative AI
Duración:00:07:53
Chaper 7 Key Takeaways
Duración:00:01:00
Chapter 8: Ensuring Relevant Output
Duración:00:00:04
Understanding Data as the Foundation for Safe AI
Duración:00:05:51
Methods for Generating More Relevant Output
Duración:00:03:10
Generating Basic Output With Prompting Techniques
Duración:00:06:12
What Are Common Prompt Engineering Techniques?
Duración:00:04:58
Creating More Relevant Output With Retrieval-Augmented Generation
Duración:00:02:52
Creating a Knowledge Graph for Improved RAG
Duración:00:01:44
Fine-Tuning Large Language Models
Duración:00:02:06
Choosing Between Off-the-Shelf vs. Open Source Models
Duración:00:04:38
Evaluating Large Language Model Output
Duración:00:01:51
Chapter 8 Key Takeaways
Duración:00:01:15
Chapter 9: Mitigating Potential Risks and Threats
Duración:00:00:04
Investigating the Relevance of Data Privacy
Duración:00:06:11
Assessing Large Language Model Vulnerabilities and Security Considerations
Duración:00:07:37
Preparing for AI-Generated Misinformation
Duración:00:04:27
Chapter 9 Key Takeaways
Duración:00:00:50
Chapter 10: Where Are We Headed With AI
Duración:00:02:26
Examining Emerging Agent-Based Systems
Duración:00:10:27
>> Anticipating the Potential of Multi-Modality for Business
Duración:00:04:58
Raising Awareness for the Growing >> Risk of Disinformation
Duración:00:01:26
Chapter 10 Key Takeaways
Duración:00:01:11
>> Conclusion
Duración:00:09:17
Acknowledgments
Duración:00:02:55
About the Author
Duración:00:01:18
Closing Credits
Duración:00:00:21