Artificial Intelligence in Digital Business Transformations

About

Technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) are transformative forces reshaping business strategies, value models, products, services and operations worldwide, creating competitive advantage. Large organisations have specialised departments dedicated to scanning for industry trends and anticipating upcoming transformations.

Understanding these transformations is a critical skill for university students across all disciplines, both IT and non-IT, as new job opportunities are continuously emerging across all sectors.

This module provides a comprehensive overview of how technology evolves and becomes integrated into all aspects of business through dramatic shifts in business models. It is suitable for students from all disciplines who wish to enhance their knowledge of the non-IT perspective on technology transformations. It is particularly relevant if you are aspiring to become technology or business leaders and managers.

The module incorporates practical exercises using real-world scenarios, enabling you to gain cross-disciplinary skills. These activities also provide a foundation for continuing towards recognised certifications, thereby improving job prospects.

Theoretical concepts will be accompanied by practical exercises. Content will include, but not be limited to, IoT-driven and AI-driven business transformations.

Week one
Introduction to business and technology-based transformations
Stages of a business transformation: strategy, planning, execution and transition to operations
Generative AI and business workflow automation
Developing transformation business cases to adapt to emerging technologies (exercise: creating a business case for an AI transformation)

Week two
The AI revolution beyond generative AI
AI business transformation models in key industry sectors (finance, health, transport, policing and others)
Challenges, limitations and pitfalls of AI transformations
Business transformation execution roadmap (exercise: creating a roadmap for an AI transformation)

Week three
Effective AI transformation outcomes and cost–benefit analysis
Managing and governing transformations
Future-proofing transformations through horizon scanning techniques

Course leader

Dr Meha Shukla

Course aim

This module aims to:

- Provide an overview of business-transformation principles from strategy to execution across multiple sectors using innovative thinking.
- Develop your understanding of how to future-proof with AI and leverage technologies for personal and professional growth.
- Enable you to create a proposal for transforming a business towards an AI-powered future, informed by real-world case studies.
- Equip you to explain how business leaders worldwide are embracing watershed technologies such as the IoT and AI, recognising their strengths and limitations so organisations can transform and thrive.
- Enable you to apply digital-transformation principles to analyse strategic approaches, challenges and pitfalls.
- Introduce the potential for professional certification in AI and digital transformation.

Fee info