Key information
Next start date: TBC
Duration: Four-week programme, including orientation; 25-30 hours total, including live weekly webinars and 4-5 hours of self-paced study per week.
Format: Online
Fee: £1,200 (No VAT is charged)
Faculty: Dr Aneesh Banerjee
Programme overview
This programme focuses on the emerging leadership skills, competencies and knowledge required to thrive in Industry 4.0, driven by AI-based systems.
It explores the leadership implications of AI and Industry 4.0 through the lens of different sectors and will help participants understand the key macroeconomic trends and their potential significance.
The term ‘Fourth industrial revolution’ or ‘Industry 4.0’ captures this rapid, once-in-a-generation change in our industrial economy.
The development and use of AI and several other technologies, such as robotics and automation, not only fuels a new era of productivity, it also creates new experiences for us – as managers, employees, owners and consumers. Our experiences are increasingly personalised and automated using various types of robotic technologies, and where the boundaries between the physical and digital environment are blurred.
Who is the programme for?
This programme is for those in leadership positions who want to understand more about the opportunities and challenges that AI brings, and what these changes mean for their roles. You may be a team leader looking to improve productivity, an operations manager seeking to understand compliance issues from AI, or an entrepreneur looking to use generative AI in marketing.
This programme offers a non-technical, practical case-based understanding of the deployment of AI solutions that leaders can customise to their context. No prior knowledge of AI is required to join the programme.
Benefits for you and your organisation
- Learn about the impact and potential of generative AI for businesses and the conditions needed to harness opportunities
- Understand how to develop effective innovation strategies for organisations
- Learn about the economic implications for automation and the considerations for businesses
- Understand the complexities involved in navigating the accompanying ethical and social issues of generative AI
- Develop an understanding of the implications of AI for leadership and create a personal leadership agenda
Focus and structure
This online programme is structured around industry cases and the following core topics:
Topic 1: Generative AI and Innovation
In this first topic our focus will be on establishing the foundational concepts of AI, tracing its evolution, and exploring the AI value chain. We will examine the strategic positioning of AI, recognising its value as a catalyst for innovation, efficiency and competitive advantage within organisations.
Furthermore, we will explore how leaders can harness AI technologies to drive organisational growth, foster innovation and enhance decision-making processes.
Topic 2: Generative AI and Data
We will continue to explore the evolving dynamics of collaboration between humans and artificial intelligence and discuss the pivotal role of data as the cornerstone for AI effectiveness.
Additionally, we will examine the essential role of leaders in fostering robust data pipelines within their organisations, paving the way for enhanced AI readiness and success.
Topic 3: Trends in Automation
Here we will explore the strategic alignment of AI and automation investments with business growth strategies, focusing on the practical approaches adopted by effective leaders. We will delve into their strategies for navigating potential pitfalls and implementing AI and machine learning transformations.
Additionally, we will examine the standard lifecycle model for AI and machine learning technologies, providing insights into the journey from inception to implementation.
Topic 4: Leadership Impact
In this final topic we focus on the capabilities necessary for enabling AI within organisations. We will also examine the role of leadership in fostering a value-driven culture that supports technological innovation.
By understanding these key elements, you will gain insights into how to effectively integrate AI and drive impactful change in your organisation.
