The need for understanding and leading change has never been greater. As organisations become leaner and more competitive, supply chains become more effective and integrated, and as information systems and communications become faster and more sophisticated it is vital that managers need to be able to lead and manage change at all levels in their organisation.
By the end of the course, participants will:
- Why businesses change
- How businesses are structured and change their structures
- How the supply chain can operate and change effectively
- How to diagnose the need for change
- How to develop the vision and the plan
- How change affects people and teams and how best to manage them through the change
- How to measure success
Understanding Change and why it occurs
- What drives Change in Supply Chain Organisations
- Different varieties of Change
- The evolution of businesses and their structures
- Leadership for Change
- Culture and Power in Organisations
- Dealing with Conflict
- Individual and Team Change – different approaches
Diagnosis and Preparation
- Diagnosing the need for Change
- Hard and Soft Change
- Kotter’s eight steps for Change
- Creating the Coalition
- Creating the Vision
- Creating the Plan
- Choosing the Agent for Change
Making the Change
- Avoiding conflict and building on progress through communication and feedback.
- Managing the change at all levels, personal, team and organisational – different approaches, different strategies, Push/Pull, Levers for Change
- Monitoring and managing staff morale, consultation and team building
- Personal Transitions – how people respond to Change
- Sustaining and managing the plan
- Monitoring progress and adapting the plan
Introduction to Artificial Intelligence
Artificial intelligence technologies are designed to provide computer systems with human-like abilities of reasoning. It’s becoming increasingly prevalent in our everyday lives as we require to manage our precious time. However, we need to have a clear understanding of the underlying technologies and processes, as well as the benefits and limitations of potential AI solutions. This Introduction course aims at promoting an interest in the field of AI and the link to how it could work across your supply chain.
This course is designed to aid supply chain professionals understand the potential benefit and limitations of AI. Delegates do not require technical IT knowledge.
1 Day Course
Participants will learn:
- The basic terminologies, knowledge representation, problem solving, learning methods of Artificial Intelligence
- The practical, philosophical, moral and societal impact of AI
- The potential practical application for supply chain value-added service
- What is AI?
- What is Machine Learning?
- Practical case study examples of AI corporate applications.
- Markov Decision Processes and Reinforcement Learning
- What is Natural Language Process (NLP)?
Logic and Planning
- Ten principles
- The process to follow
- Video showing AI implementation using Microsoft Azure
Building a personality for your AI
- Building personality for your bots
- Simulating AI behaviour