Singapore University of Social Sciences

Digital Disruption 数字化颠覆

Digital Disruption 数字化颠覆 (MSM515)

Synopsis

Digital disruptions are occurring every day in an increasingly volatile, uncertain, complex and ambiguous business environment. In order to gain a competitive edge, companies need to respond to these disruptive changes and proactively develop their own disruptions for organizational transformation and growth. 在日益动荡、不确定、复杂和模糊的商业环境中,数字颠覆每天都在发生。为了获得竞争优 势,企业需要应对这些颠覆性变化,并积极发展自己的颠覆性变革,以促进组织转型和发展。 This course explores the evolution of Industry 4.0, with a special focus on AI as a pivotal element driving digital transformation. It discusses the foundational concepts of digital disruption, the integration of AI with other technologies, the implementation and readiness across industries, and the ethical considerations in AI deployment. Through theoretical knowledge and practical application, students will learn to leverage AI for innovation and competitive advantage. 本课程探讨工业 4.0 的演变,特别关注人工智能作为推动数字化转型的关键要素。 它讨论了数字颠覆的基本概念、人工智能与其他技术的集成、跨行业的实施和准备情况,以及人工智能部署中的道德考虑。 通过理论知识和实际应用,学生将学习如何利用人工智能实现创新和竞争优势。

Level: 5
Credit Units: 5
Presentation Pattern: EVERY JAN

Topics

  • Digitalization's Impact Across Industries数字化对各行业的影响
  • Industry 4.0 and Smart Automation工业4.0和智能自动化
  • Evolution and Current Landscape of AI人工智能的演变和现状
  • AI Infrastructure, Application, and Future Trends AI基础设施、应用及未来趋势
  • AI Readiness and Applications in Various Sectors人工智能在各领域的准备情况和应用
  • AI and the Future of Work人工智能和工作的未来
  • Ethical Considerations and Governance in AI人工智能的道德考虑和治理
  • AI Applications in Marketing人工智能在营销中的应用
  • Enhancing Workflow and Productivity with AI利用人工智能增强工作流程和生产力
  • Leveraging AI for Advanced Data Analytics利用人工智能进行高级数据分析
  • AI-Generated Content (AIGC) for Business Applications适用于商业应用程序的人工智能生成内容 (AIGC)
  • AI Chatbots and Customer Interaction人工智能聊天机器人和客户互动

Learning Outcome

  • Appraise the evolution and current landscape of AI. 评价人工智能的演变和现状。
  • Compare AI infrastructure, applications, and anticipate future trends. 比较人工智能基础设施、应用,预测未来趋势。
  • Estimate the impact of digitalisation across industries. 预估数字化对各行业的影响。
  • Assess AI readiness and applications in various sectors. 评估人工智能在各个领域的准备情况和应用。
  • Examine the implications of AI on the future workplace. 审视人工智能对未来工作场所 的影响。
  • Recommend ethical considerations and governance in AI deployment. 建议人工智能部署中的道德考虑和治理。
  • Develop practical AI skills. 培养实用的人工智能技能。
  • Analyse AI applications in business. 分析人工智能在商业中的应用。
  • Experiment new products and frontiers in AI for business. 尝试商业人工智能的新产品和前沿领域。
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