Executive Development Programme in AI for Global Supply Chain Leadership
-- ViewingNowThe Executive Development Programme in AI for Global Supply Chain Leadership is a certificate course designed to empower professionals with the essential skills to lead in the age of digital transformation. This program is critical for those seeking to stay relevant and competitive in the rapidly evolving supply chain industry, where AI and automation are becoming increasingly integral.
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โข Fundamentals of Artificial Intelligence (AI): Understanding the basics of AI, machine learning, and deep learning; identifying use cases for AI in supply chain management.
โข Global Supply Chain Management: Overview of supply chain management, including planning, execution, and monitoring; identifying key performance indicators.
โข AI Applications in Supply Chain Operations: Implementing AI in demand forecasting, inventory management, transportation, and logistics.
โข Data Analytics for Supply Chain Decision Making: Using data analytics to optimize supply chain processes, reduce costs, and improve efficiency.
โข Ethical Considerations in AI for Supply Chain Management: Understanding the ethical implications of AI in supply chain management, including data privacy and security, bias, and transparency.
โข Leadership and Change Management in AI-enabled Supply Chains: Developing leadership skills to manage change in AI-enabled supply chains, including building a culture of innovation, leading cross-functional teams, and managing stakeholder expectations.
โข Supply Chain Risk Management with AI: Identifying and mitigating risks in supply chain management using AI; understanding the role of AI in supply chain resilience.
โข AI-enabled Supply Chain Visibility and Collaboration: Improving supply chain visibility and collaboration using AI, including supplier relationship management, demand sensing, and predictive analytics.
โข Supply Chain Digital Transformation with AI: Implementing AI-enabled digital transformation in supply chain management, including automation, robotics, and blockchain technology.
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