Turn AI Hype into Business OUTCOMES.
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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.
Reviews
Mary Purk
Executive Director, AI at Wharton
“Leadership has never been more critical to navigate, innovate, and implement AI tools with clarity and precision. A must-read for those committed to leading at the forefront of AI integration and business transformation.”
Randy Bean
Author of Fail Fast, Learn Faster
“Essential reading for any organization and data & AI leaders who are trying to figure out how to navigate this rapidly evolving transformational technology to deliver meaningful business value to their company and their customers.”
What’s Inside
Chapter 1:
The Forces that Drive AI
Learn about the origins of the latest AI hype. Understand the four dimensions that make Generative AI special, and how AI will impact the labor market and the global economy.
Chapter 2:
Aligning AI with Business Goals
Despite the rush toward implementing AI, proven management principles still apply. At the same time, not every business problem should be solved with AI.
Chapter 3:
Leading in the AI Era
A new C-Level role has entered the executive ranks, the Chief AI Officer (CAIO). How can CAIOs enable their organizations and manage expectations towards their stakeholders, and get their buy-in for AI projects?
Chapter 4:
Designing for People
When AI Leaders put the end user first (and not the end date), a product mindset flourishes. But it is not a certain path towards more adoption. Understand how making AI human-centric and measuring business outcomes are key to any AI implementation’s success.
Chapter 5:
Cultivating an AI-Ready Culture
Help your organization develop AI literacy to find the most impactful opportunities for using AI in your business.
Chapter 6:
Harnessing Diverse Perspectives
When Humans and AI collaborate, the best results are possible. As the AI Leader, your role is pivotal in building an idea pipeline for new AI capabilities as well as bringing business and technology teams together.
Chapter 7:
Establishing Principles for Human-Centered AI
For AI to serve us all, you need to ensure that your data and AI teams are diverse in gender, ethnic and professional background, and base your development on strong, operationalized AI ethics guidelines.
Chapter 8:
Ensuring Relevant Output
Large Language Models can generate human-like language, but they lack specificity. Prompting, retrieval-augmented generation, and fine-tuning can deliver more tailored results.
Chapter 9:
Mitigating Potential Risks and Threats
Given the pace of change and scale of AI, data privacy and ensuring secure operations are critical aspects to incorporate from the get-go.
Chapter 10:
Outlook: Where Are We Headed With AI
Emerging topics such as AI agents and multi-modal models will provide new opportunities for increased automation and autonomy in business.
Editions
Paperback & Ebook
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About the
Author
AI Advisor. Author. Trainer.
Andreas Welsch is an internationally recognized AI leader, advisor, and speaker known for helping the world’s leading enterprises turn technology hype into business outcomes. He has advised Fortune 500 leaders on realizing business value from AI, accelerated the integration of AI across enterprise applications, led global IT process automation projects, and positioned global software giant SAP as an industry leader in AI.
He contributes to academia as an Adjunct Professor at West Chester University of Pennsylvania and serves on the Editorial Board of the Journal of AI, Robotics and Workplace Automation.
Andreas is a frequent keynote speaker and expert panelist, and has been named a LinkedIn Top Voice, Top 10 Thought Leader in Artificial Intelligence, Agentic AI, and Generative AI, Top 30 AI Leader, Top 50 Global AI Ambassador, and Top 200 Worldwide Business & Technology Innovator.
