AI and the Boardroom
English | 2024 | ISBN: 9798868807961 | 419 pages | True PDF EPUB | 11.9 MB
English | 2024 | ISBN: 9798868807961 | 419 pages | True PDF EPUB | 11.9 MB
Develop and implement AI strategies aligned with business goals, including operating models and partnership strategies. This book is practical guide for chief experience officers and other corporate board members faced with the complex issues of AI governance, data privacy, AI regulations, AI copyright, AI strategy, and more.
Executives are eager to hear from other executives, peers, and authority figures regarding AI matters, and how to approach them quickly, correctly and meaningfully. The cost of missing out or messing up in AI transformation is easy so it’s imperative that C-suite and board members have the right mental framework to ask the right questions for their organizations.
Throughout this book, you’ll see how to develop and execute AI strategies that align with your organizational goals and ethical standards. You’ll navigate the complex landscape of AI regulation and governance, applying best practices to ensure compliance and protect stakeholder interests. You’ll also, understand how to innovate and adapt AI technologies within your operations.
AI and the Boardroom provides all the right tools to guide decision-making, foster partnerships, and enhance customer experiences
What You Will Learn
Master AI governance, regulations, and ethical considerations, including privacy and intellectual property issues.
Optimize AI investments, budgets, and ROI through effective KPIs, OKRs, and risk management.
Navigate organizational changes brought by AI, including executive compensation, team structures, and change management.
Leverage AI for board-level decision-making while advancing organizational AI maturity and staying ahead of emerging trends.
Who This Book Is For
Suite executives and corporate board members; technology and innovation leaders; risk management and compliance professionals; corporate strategists and business unit leaders; AI program managers and data scientists