AI Essentials for Leaders
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Herausgegeben von:
Alfred Essa
The AI Essentials for Leaders book series offers concise, non-technical primers for navigating the complex world of Artificial Intelligence. Written by leading experts, each volume synthesizes a foundational AI topic through focused lenses: technology fundamentals, business strategy, entrepreneurship and innovation, leadership and governance, and ethics and privacy. Designed for business leaders, practitioners, policymakers, and curious learners alike, these accessible guides provide succinct overviews that empower readers to understand AI's core concepts and anticipate its future implications for business, technology, and public policy.
The series illuminates AI’s impact through six interconnected themes:
- Technology Fundamentals
Foundations of AI technologies, encompassing machine learning, natural language processing, generative AI, cloud computing, and robotics. Each volume explores both the core technological principles and their practical applications through emerging use cases and innovation opportunities. - Business Strategy
Strategic frameworks for integrating AI across industries, with emphasis on leveraging these technologies to create sustainable competitive advantages. Volumes examine how organizations can transform their business models and operations through AI adoption. - Ethics and Privacy
Critical exploration of ethical frameworks and principles for responsible AI development and deployment. Topics include algorithmic fairness, transparency, privacy protection, bias mitigation, and the development of trustworthy AI systems. - Entrepreneurship and Innovation
Practical insights into AI-driven innovation through real-world case studies. Coverage includes startup formation, product development methodologies, open-source strategies, service enhancement, and operational optimization through AI implementation. - Leadership and Governance
Comprehensive guidance for leaders navigating organizational AI transformation. Focuses include change management strategies, talent development frameworks, data governance principles, and effective stakeholder management across AI initiatives. - Domain Applications
Industry-specific examinations of AI implementation across sectors such as finance, medicine, marketing, and beyond. While acknowledging the rapid pace of advancement, each volume establishes fundamental principles and showcases transformative use cases within its respective domain.
If you have any proposals for submission or ideas you would like to discuss please contact the series Co-Editor Alfred Essa at aessa@ai-essentials-for-leaders.com
Fachgebiete
Artificial Intelligence: Shaping the Future of Innovation provides a concise non-technical introduction to artificial intelligence as the key driver of innovation in the new economy. The book positions AI as a General Purpose Technology, vital for driving advancements across all sectors of business, government, and society.
Written for leaders, innovators, and decision-makers, this book bridges the gap between technical complexity and practical application, demystifying AI's core concepts while illuminating its catalytic impact across industries and organizations. Through a careful examination of innovation dynamics, computational foundations, and core AI principles, readers will gain the essential knowledge needed to both understand and effectively navigate the AI landscape.
This succinct guide makes technical concepts accessible—from algorithms and machine learning to deep learning and generative AI—giving leaders the clarity they need to engage confidently with AI technology.
The world of business stands at a crossroads.
While there is general agreement that its impact on business will resemble that of previous General Purpose Technologies like electricity or the internet, business leaders are overwhelmed by the noise around Artificial Intelligence and struggling to make complex decisions after the initial experimentation phases. Now is the time to identify which previously advocated strategic principles still hold when deciding on growth and innovation, and what are the relevant value drivers in the era of AI.
Artificial Intelligence: Rethinking Business Strategy discusses how to use foresight techniques to help detect the signposts for future change and prepare for better exploitation of AI opportunities. It explores how to navigate the uncertainty about AI’s global regulation and supervision, standards and gatekeepers, speed of adoption and interrelated technological solutions as well as changes in geopolitical power dynamics. With the use of real-life examples, Teresa Martín-Retortillo defines plausible scenarios that will undoubtedly be a valuable compass for business leaders trying to distinguish noise from signals.
Business and technical professionals in leadership positions, executives, product and project managers as well as policymakers will benefit immensely from this book’s exploration of future strategies that will hereon be required to generate sustainable value creation for businesses and for society.
