Artificial Intelligence & Business Strategy: From Hype to Creating Value
Artificial Intelligence & Business Strategy: From Hype to Creating Value badge image
Through a partnership with the Dendritic: A Human-Centered AI and Data Science Institute, Florida Gulf Coast University offers the Artificial Intelligence & Business Strategy: From Hype to Creating Value micro-credential to individuals who participated in the academy program, completing the 8-10 hour training and displaying proficient skills in applying AI strategically within organizational contexts, distinguishing between AI hype and real business value creation, and addressing leadership, governance, and ethical challenges in AI adoption.
AI strategy refers to the methodical planning and execution of incorporating artificial intelligence into a company to enhance its performance, creativity, and market position.
**Learning Objectives:** • Distinguish between AI hype and strategic reality in organizational settings • Identify where AI can create value across the strategic management process • Evaluate how AI can contribute to organizational performance and strengthen competitive advantage • Analyze real-world successes and failures of AI initiatives to identify lessons for strategy, value creation, implementation, and organizational decision making • Apply Skeptical Intelligence and a Discovery-Driven Digital Transformation approach to critically evaluate and implement AI opportunities • Address the leadership, cultural, organizational, governance, and risk challenges associated with AI adoption, AI-enabled organizational transformation, and the future of AI-driven strategy **Earning Requirements** Participants will master these skills by the successful completion of the course, including the review of all module learning materials and completing the final capstone project. The capstone project requires participants to develop a strategic AI adoption plan for a real or hypothetical organization by identifying a meaningful AI opportunity, evaluating its strategic value and organizational fit, designing a focused AI experiment, defining success criteria, and developing a roadmap for learning, adaptation, and potential scaling.