This unit synthesizes cross-industry AI lessons and leadership practices to guide full-scale AI adoption in manufacturing. Students learn to scale pilots, govern AI ethically, align organization design and culture, and plan workforce transformation for sustainable, trusted AI-driven operations.
Learning Objectives
- Analyze cross-industry case studies (finance, retail, energy) to identify key AI-driven opportunities and their operational impacts on manufacturing supply chains, business models, and innovation pipelines
- Apply change management and scaling strategies to develop a step-by-step plan with measurable KPIs for transitioning AI initiatives from pilot to enterprise-wide deployment
- Evaluate ethical, privacy, and environmental risks associated with AI deployments and recommend governance controls and policy measures to ensure responsible, compliant manufacturing practice
- Design a workforce transformation and leadership communication plan that integrates generative/agentic AI tools, upskilling pathways, and trust-building measures to align culture and capability with AI strategy
Curriculum
- 1 Section
- 32 Lessons
- 30 hours
Expand all sectionsCollapse all sections
- Unit 4 — Leading AI Transformation in Manufacturing32
- 1.1AI in Finance: Enhancing Risk Management and Customer Experiences20 mins
- 1.2AI in Retail: Revolutionizing Customer Engagement and Supply Chain Management20 mins
- 1.3AI in Energy: Optimizing Resource Utilization and Sustainability20 mins
- 1.4Key Takeaways for Leadership20 mins
- 1.5Rethinking Culture in an AI-Driven Environment20 mins
- 1.6Building Trust and Addressing Resistance20 mins
- 1.7Aligning Organizational Design with AI Strategy20 mins
- 1.8Empowering the Workforce for AI Adoption20 mins
- 1.9Addressing the Psychological Impact of AI Adoption20 mins
- 1.10Leading with Purpose in the AI Era20 mins
- 1.11The Role of AI in Driving Innovation20 mins
- 1.12AI-Powered Business Models20 mins
- 1.13Identifying AI-Driven Opportunities for Growth20 mins
- 1.14Scaling AI-Driven Innovation Across the Organization20 mins
- 1.15Key Takeaways for Leadership20 mins
- 1.16AI for Environmental Responsibility20 mins
- 1.17Enabling Circular Manufacturing Systems20 mins
- 1.18Safeguarding Privacy in Environmental Monitoring20 mins
- 1.19AI for Social Impact20 mins
- 1.20Aligning Sustainability with Governance Structures20 mins
- 1.21Key Takeaways for Leadership20 mins
- 1.22From Pilots to Full-Scale AI Integration20 mins
- 1.23The Importance of Scaling AI20 mins
- 1.24Leadership’s Role in Scaling AI: Communicating Strategy and Ensuring Alignment20 mins
- 1.25Change Management Strategies20 mins
- 1.26Key Strategies for Scaling AI20 mins
- 1.27Key Takeaways for Leadership20 mins
- 1.28Ethical AI Governance in Manufacturing20 mins
- 1.29Transforming the Workforce for an AI-Enabled Future20 mins
- 1.30Integrating Generative and Agentic AI into Manufacturing Functions20 mins
- 1.31The 1-Degree World: AI and the Global Manufacturing Ecosystem20 mins
- 1.32Conclusion: A Leadership Call to Action20 mins
Instructor
Free
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