AI for Senior Decision Makers and Executives#400424

• Analyse the impact of future trends on the development and application of AI across different industries.
• Identify key challenges and opportunities within the AI landscape, considering ethical considerations and regulatory implications.
• Develop a strategic vision for leveraging AI to achieve organizational goals, improve decision-making, and enhance competitive advantage.
• Evaluate the potential of AI for specific business functions like marketing, finance, operations, and human resources.
• Assess the risks and rewards associated with AI adoption and develop strategies for mitigating potential risks and biases.
• Communicate effectively about AI to internal and external stakeholders, translating complex technical concepts into clear business value propositions.
• Build a future-proof AI strategy for their organization, considering potential disruptions and adapting to a rapidly evolving technological landscape.
• Identify key metrics and frameworks for measuring the success of AI initiatives and ensuring a positive return on investment (ROI).

• CEOs, presidents, and other senior executives seeking to understand the strategic implications of AI for their organizations.
• Board members and advisors who need a high-level overview of AI trends and their potential impact on various industries.
• C-suite leaders from all departments – finance, marketing, operations, etc. – interested in exploring AI applications relevant to their specific areas.
• Anyone in a senior leadership role who wants to make informed decisions about AI investment and implementation.

• 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: The AI Revolution & The Future
• Welcome and program overview.
• Demystifying AI: An executive-level introduction to AI, exploring its core concepts, different types, and current state of development.
• Future Studies for AI Strategy: Learning future studies methodologies like scenario planning and horizon scanning to anticipate potential disruptions and opportunities related to AI.
• The Future of AI: Discussing cutting-edge research and potential advancements in AI, exploring how these could reshape industries and society in the coming years.
• Case Study: analysing a real-world example of a company that successfully leveraged AI to gain a competitive advantage in its market.
Day 2: The Business Impact of AI
• AI Applications Across Industries: Exploring how AI is transforming various industries, with specific examples relevant to participants' sectors. (e.g., AI in finance for fraud detection and algorithmic trading, AI in healthcare for personalized medicine and medical diagnosis)
• Identifying AI Opportunities for Your Organization: Facilitated brainstorming session to identify potential applications of AI within different areas of your own organization, considering how AI can improve processes, enhance decision-making, and create new opportunities.
• The Human-Machine Collaboration: Discussing the future of work in the context of human-machine collaboration, exploring how AI can augment human capabilities and drive innovation while ensuring responsible AI practices.
• Guest Speaker: A prominent leader in the field of AI or a CEO who successfully implemented AI within their company can be invited to share their insights and answer executive-level questions.
Day 3: Evaluating & Implementing AI Solutions
• Challenges & Risks of AI Adoption: Discussing the ethical considerations, regulatory challenges, and potential risks associated with AI implementation, such as bias and job displacement.
• Assessing AI Readiness: Participants conduct a self-assessment of their organization's readiness for AI adoption, considering factors like data infrastructure, talent resources, and leadership buy-in.
• Evaluating AI Solutions: Learning strategies for evaluating and selecting appropriate AI solutions based on their specific needs, functionalities, and costs.
• Case Study: analysing a real-world example of a company that encountered challenges during AI implementation and how they overcame them.

Day 4: Building a Future-Proof AI Strategy
• Developing an AI Strategy Framework: Participants learn about frameworks and methodologies for building a strategic roadmap for AI integration within their organizations.
• Defining Success Metrics for AI: Exploring methods for measuring the success of AI initiatives, considering key performance indicators (KPIs) and return on investment (ROI) metrics.
• Building an AI Governance Framework: Discussing strategies for establishing responsible AI governance practices to ensure ethical development, data security, and fair implementation.
• Managing Change & Communication Strategy: Developing strategies for managing internal change associated with AI adoption and communicating the value proposition of AI to various stakeholders.
Day 5: Leading in the AI Era
• The Future of Leadership in an AI-Powered World: Exploring the evolving role of leadership in a rapidly changing technological landscape.
• Building an AI-Ready Workforce: Identifying strategies for developing the skills and capabilities of your workforce to thrive in an AI-powered future.
• The Future of AI: A Foresight Discussion: Engaging in a facilitated discussion exploring the long-term implications of AI on society, business, and the global economy.
• Course Wrap-Up & Action Planning: Reviewing key takeaways from the program, crafting personalized action plans outlining steps to implement their AI strategy upon returning to their organizations, and addressing any remaining questions.
• Networking & Executive Roundtable: Participants engage in a facilitated roundtable discussion to share their AI strategy plans and best practices, fostering collaboration and knowledge exchange amongst senior leaders.