AI for Senior Decision Makers and Executives #254004

Upon successful completion of this course, you will be able to:

• Articulate the core concepts of AI, machine learning, and generative AI in business-relevant terms, distinguishing hype from reality.

• Identify and evaluate high-impact opportunities for AI application within your organization’s value chain.

• Develop a pragmatic AI strategy aligned with overall business goals, including a clear roadmap for piloting and scaling initiatives.

• Understand the critical requirements for successful AI implementation: data readiness, talent acquisition, and technology infrastructure.

• Anticipate and mitigate the key risks associated with AI, including ethical dilemmas, bias, cybersecurity, and regulatory compliance.

• Calculate the Return on Investment (ROI) for AI projects and build a compelling business case for adoption.

This course is designed for C-suite leaders and senior executives who set strategy and make significant investment decisions.

• C-Suite Executives: CEOs, COOs, CFOs, CTOs, CIOs, CDOs

• Heads of Business Units and Managing Directors

• VPs of Strategy, Innovation, Marketing, Operations, and Finance

• Senior Directors responsible for digital transformation or new business initiatives

• Board Members seeking to improve their governance of technology and innovation

Prerequisites: No technical background is required. A strong understanding of business operations and strategic decision-making is assumed.

• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Each participant receives a binder containing a copy of the presentation
• slides and handouts
• Post-assessment

Day 1: Demystifying AI: From Hype to Strategic Value

• Module 1: The AI Landscape for Leaders

  • What every executive must know: Key concepts (AI, ML, Deep Learning, GenAI) explained without jargon.

  • The state of AI: Current capabilities, limitations, and near-term expectations.

• Module 2: AI as a Strategic Competitive Weapon

  • How AI is disrupting industries: Case studies from manufacturing, finance, healthcare, and retail.

  • Frameworks for analyzing AI’s impact on your business model and competitive position.

• Executive Workshop: Identifying the “low-hanging fruit” and “moonshot” AI opportunities within your own organization.

Day 2: The Building Blocks of an AI-Ready Organization

• Module 3: The Fuel of AI: Data Strategy

  • Assessing your data assets: quality, accessibility, and governance.

  • Building a data-first culture: From data lakes to actionable insights.

• Module 4: Talent and Technology: The Execution Engine

  • Building your AI team: Buy vs. Build vs. Partner. The role of in-house experts.

  • Navigating the technology stack: Cloud AI services, APIs, and vendor selection.

• Case Study: How a traditional company successfully built its AI capability from the ground up.

Day 3: Crafting Your AI Strategy and Roadmap

• Module 5: Developing Your AI Strategy

  • Aligning AI initiatives with core business objectives (revenue growth, cost reduction, customer experience).

  • Prioritizing projects: Feasibility, impact, and risk assessment.

• Module 6: The Business Case for AI

  • Measuring ROI: How to quantify the value of AI projects (e.g., increased conversion, predictive maintenance savings).

  • Securing funding and board approval for AI investments.

• Executive Workshop: Drafting the one-page AI strategy and business case for a pilot project.

Day 4: The Risks and Responsibilities of AI

• Module 7: Ethical AI and Governance

  • Managing bias, ensuring fairness, and maintaining transparency (“Explainable AI”).

  • The role of the board and executive team in AI governance and oversight.

• Module 8: Navigating the Risk Landscape

  • Cybersecurity in the age of AI, regulatory compliance (GDPR, EU AI Act), and reputational risk.

  • Developing policies for responsible AI use.

• Panel Discussion: Featuring a legal expert and an ethicist on the evolving regulatory landscape.

Day 5: Leading the AI-Powered Organization

• Module 9: Change Management and Culture

  • Leading transformation: Overcoming employee resistance and fostering a culture of experimentation.

  • Upskilling your workforce for human-AI collaboration.

• Module 10: The Future of AI and Your Leadership Role

  • Emerging trends: Autonomous agents, multimodal AI, and the next frontier.

  • Staying informed: Building a continuous learning plan for your organization.

• Capstone Session: Participants present their refined AI strategy and roadmap to a panel of peers and instructors for feedback.

• Conclusion: Committing to Action.