Program Objectives
The Data Science for Executives program aims to equip senior leaders and decisionmakers with a comprehensive understanding of how Artificial Intelligence (AI) and data science can transform their organizations. The course demystifies AI, explores its economics, and delves into real-world use cases. It provides a strategic framework for data-driven decision-making while addressing the risks and governance challenges associated with AI adoption. By the end of this program, participants will have the knowledge and tools necessary to create a robust AI and data strategy, ensuring that AI investments yield measurable returns while mitigating associated risks.
What You Will Learn
- Data-Driven Decision-Making. Learn the analytics continuum—from descriptive to prescriptive analytics—and how to apply these models to guide strategic business decisions.
- The Economics of AI. Understand why AI is becoming mainstream and the technological, market, and organizational changes driving its adoption.
- Core Concepts of AI. Gain a foundational understanding of AI, machine learning, and data science, focusing on what these technologies can and cannot do.
- Real-World AI Use Cases. Explore successful AI applications across various industries and discover how these examples can inspire transformative projects within your own organization.
- AI Strategy and Governance: Develop a strategic plan for AI deployment and learn how to establish robust data governance and AI governance systems.
Who Should Attend
This program is ideal for C-level executives, business leaders, senior managers, and decision-makers across industries who are responsible for driving strategic initiatives, overseeing AI projects, or managing data-driven transformations. The course is particularly suited to: Executives looking to gain a comprehensive understanding of AI and data science to guide their organization’s AI strategy. Leaders seeking to transform their organizations into data-driven enterprises. Managers responsible for identifying, assessing, and implementing AI use cases within their business operations.