• Executives and strategic decision makers seeking actionable AI insights to drive innovation and transformation and align AI capabilities with strategic organizational goals, scaling businesses and staying ahead of the competition
• Senior technology leaders in healthcare, finance, and IT looking to use AI’s transformative potential to reduce costs and improve efficiencies, identify gen AI capabilities and areas for improvement, and align AI solutions with industry-specific operational and regulatory challenges
• Functional heads and department leaders wanting to integrate gen AI into various functions, including marketing, HR, and finance; leverage gen AI to optimize the customer journey and enhance their experience; and gain actionable insights and AI tools to personalize customer service
• AI policy advisors, consultants, and investors looking to navigate the ethical and governance challenges of AI in public and private sectors, guide clients through digital transformation and AI implementation, and evaluate AI business models for scalability

• Assess the impact of AI and gen AI on business growth, productivity, and innovation in diverse organizational contexts
• Apply frameworks to assess AI readiness, including the AI Canvas 2.0, the AI Radar 2.0, and the AI Capability Maturity Model (CMM)
• Identify high-value AI use cases across customer experience, operations, and support functions — tailored to industry needs
• Recognize the ethical, governance, and societal implications of AI, ensuring responsible and ethical implementation
• Design an AI transformation plan and strategic transformation roadmap for an organization

Module 1: Foundations of AI—From Prediction to Creation to Autonomy

• Articulate the evolution of AI from traditional to generative for a specific use case
• Discuss the trade-offs of using prediction and creation models
• Develop a roadmap for an AI initiative business case using the AI Canvas framework

Module 2: AI and Customer Experience Management

• Articulate where and how gen AI enhances customer experience across touchpoints
• Identify automation/AI use cases for internal marketing, sales, and customer support functions
• Design a personalized customer engagement strategy using gen AI tools

Module 3: AI and Operations Management

• Write a conceptual hypothesis based on data sources within a case analysis
• Identify focus points to further analyze a case analysis utilizing data exploration
• Apply gen AI to the Enerwind case study

Module 4: AI and Business Support Functions

• Explore how gen AI is automating HR, finance, and IT functions—from drafting contracts to managing payroll
• Identify HR functions that can be optimized by AI
• Explore AI automation tools that can be used to optimize HR functions and pain points

Module 5: AI Applications in Selected Industries

• Discuss how gen AI is being applied across key industries, including healthcare, retail, and financial services
• Discover how gen AI is reshaping product design, diagnostics, and personalized financial services
• Develop a vertical-specific AI strategy for a chosen industry

Module 6: Generative AI and Creative Industries— Transforming Media, Art, and Design

• Explore the ethical considerations and IP challenges in AI-generated content
• Create a gen AI-powered product story for a brand

Module 7: AI and Business Transformation—Strategy, Capabilities, and Governances

• Recognize the principles and best practices for AI governance to ensure responsible use
• Explore how organizations are moving toward zero-touch enterprise models
• Apply AI CMM to an organization of your choice

Module 8: AI and Society—Ethics, Regulation, and Jobs

• Understand the broader societal impact of AI, including labor markets, policy, and ethics
• Explore how businesses can leverage AI for social good while addressing the challenges it brings
• Discuss the future of work in an AI-powered world, including the role of human-AI collaboration

Mohanbir Sawhney - Academic Director; Associate Dean for Digital Innovation; McCormick Foundation Chair of Technology; Clinical Professor of Marketing; Director of the Center for Research in Technology and Innovation