The AI Leadership Handbook covers everything you need to know to become a confident and successful AI leader—and get it right on the first try.


A Practical Guide To Turning
Technology Hype Into Business Outcomes


Available now


Unlock real business impact.




The Book


 » An indispensable guide 
 for leaders looking to navigate 
 the AI landscape with clarity. « 

Foreword by Matt Lewis
Chief Artificial and Augmented Intelligence Officer, Inizio Medical

 » An indispensable 
 guide for leaders 
 looking to navigate 
 the AI landscape 
 with clarity. « 

Foreword by
Matt Lewis

Chief Artificial and Augmented Intelligence Officer, Inizio Medical


The AI Leadership Handbook covers everything you need to know to become a confident and successful AI leader—and get it right on the first try.

258

Pages of Real-Life Expert Advice


60+

Expert Interviews


10

Chapters to Build Your
AI Leadership Skills

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.




What’s Inside

  1. The Forces that Drive AI
    Learn about the origins of the latest AI hype, the four dimensions that make Generative AI special, and how AI will impact the labor market and the global economy.
     

  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.
     

  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?
     

  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.
     

  5. Cultivating an AI-Ready Culture
    You need to help your organization develop AI literacy to find the most impactful opportunities for using AI in your business.
     

  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.
     

  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.
     

  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.
     

  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.
     

  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.



PRAISE

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: Lessons in Data Driven Leadership in an Age of Disruption, Big Data, and AI

“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.”


REVIEWS


INTERVIEWS

Book review with Johanna Fink of “Yellow Shelf”

Interview with Simon Kriss on “AI in 5”


Talk with Michael Marchuk (BluePrism) on the “Transform NOW” podcast

In this episode, host Michael Marchuk interviews Andreas Welsch, an AI expert and author of the "AI Leadership Handbook". They discuss the importance of AI in business, the journey of AI implementation, and the need for education and awareness around AI te

Chat with Tom Bianchi (Aquia) on the “Open Sauce” podcast

AI and digital transformation expert, Andreas Welsch, shares his journey, taps in ethical AI development, and discusses AI's role in shaping the future of digital experience. He breaks down some AI components — machine learning, deep learning, and generat

Conversation with Jonas Christensen on the “Leaders of Analytics” podcast

Topics we cover: Discover Andreas’s background and his remarkable 23-year career at SAP. He shares pivotal moments and lessons learned from working at one of the world’s largest tech companies. Learn what motivated Andreas to start sharing his expertise o


ABOUT THE AUTHOR


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 is a frequent keynote speaker and expert panelist, and has been named a Linked

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 and Generative AI, Top 50 Global AI Ambassador, and Top 200 Worldwide Business & Technology Innovator.

Follow his live stream & podcast, What’s the BUZZ? and subscribe to his newsletter, The AI MEMO. If you want to work with Andreas to turn hype into outcome for your business, you can find him at www.intelligence-briefing.com.


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