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Full Description
Is your business truly ready for the AI revolution? Future-proof your organization with a winning AI strategy.
AI Strategy is the executive playbook for turning artificial intelligence into long-term value and a competitive edge. Written by bestselling author and futurist Bernard Marr, it equips senior leaders with the clarity, tools and foresight to scale AI across the enterprise while managing risk and accelerating innovation.
Ideal for C-suite decision makers and business leaders, this guide addresses the strategic and operational realities of AI adoption at scale.
You'll learn how to:
- Align AI with business goals, governance and KPIs
- Anticipate ethical, legal and reputational challenges before they emerge
- Build internal capability, leadership buy-in and technical infrastructure
- Leverage real-world examples from energy, finance, healthcare and more
- Deliver measurable value through scalable, responsible AI integration
Whether you're launching a pilot or scaling enterprise-wide, AI Strategy helps you lead decisively, invest wisely and confidently build and execute a winning and sustainable AI strategy.
Themes include: AI adoption, digital transformation, responsible AI, innovation leadership, enterprise strategy, risk governance
Contents
Chapter - 00: Introduction: The urgent need for AI strategy
Section - ONE: Unveiling the power of AI
Chapter - 01: AI today: Its evolution and integration, and the dawn of a new digital age;
Chapter - 02: The positive and negative impacts of AI: A balanced perspective;
Chapter - 03: Why every business is now an AI business: Embracing the inevitable transformation;
Section - TWO: Crafting your AI blueprint
Chapter - 04: Business alignment: Rethinking strategies for the AI revolution;
Chapter - 05: Your use cases: From quick wins to strategic triumphs;
Chapter - 06: The need for scalability: Building AI for tomorrow, today;
Chapter - 07: Data management: The keystone of AI success;
Chapter - 08: Technology stack: Architecting the future;
Chapter - 09: Talent and skills development: Cultivating an AI-ready workforce;
Chapter - 10: Vendor and partner ecosystems: Leveraging collective expertise;
Chapter - 11: Ethical and responsible AI: Guiding principles for trustworthy technology;
Chapter - 12: Compliance and security: Fortifying your AI endeavours;
Chapter - 13: Sustainability: AI for a greener tomorrow;
Chapter - 14: Risk management: Safeguarding your AI journey;
Chapter - 15: Delivery and change management: Navigating the AI transformation;
Chapter - 16: Measurement and evaluation: Defining success in the AI era;
Chapter - 17: Culture and mindset: Cultivating innovation and adaptability;
Section - THREE: AI strategy in action - Real-world examples from the front lines
Chapter - 18: Real-world AI use cases: Identifying overlaps and overarching themes;
Chapter - 19: Real-world examples from business functions;
Section - FOUR: Envisioning the future with AI
Chapter - 20: Top tips: Key enablers of AI success;
Chapter - 21: A look into the future: Beyond the horizon
