The seminar is structured to combine conceptual clarity with real-world relevance, using case examples, executive-level frameworks, and guided activities to reinforce strategic insight and support meaningful next steps. By the end of the session, participants will understand the requirements to:

• Define the types of AI and ML that align with capital project value drivers.
• Apply the “5 Ps” framework to evaluate where AI can deliver measurable impact.
• Evaluate the opportunities and limitations of generative AI and large language models.
• Understand the principles of Responsible AI and how they influence board-level governance.
• Identify why AI initiatives fail and how to structure successful implementation strategies.
• Decide when to build, buy, or partner for AI capabilities within their organization.
• An organizational model for strategy formulization.

Who Should Attend:

1. This session is designed for business leaders who engage with project teams and want to have more meaningful conversations with their project delivery approaches complemented with analytics, data integrating and how this can be introduced into their decision-making and corporate culture. This session is particularly applicable for:

• C-Suite executives, corporate directors, or head of strategy from any industry that want to improve their respective delivery approaches and who are seeking to learn the language of data, to use analytics to strategic advantage, and to develop an analytics roadmap for their organization.
• Operational, Mid- to Senior-Level Managers, such as general manager seeking to garner insights from data and looking to gain a practical understanding of the applications of analytics to initiate new projects or launch new business ideas.