Cannot be taken in conjuncture with Emerging Technologies for Business.
This module aims to address the acceleration in the development and introduction of technology, and show how emerging technologies can be applied to different industries and business contexts. The module will offer crucial, advanced theoretical and practical technological foundations to eBusiness Management students.
The development and understanding of technological step changes
can provide significant advantages to organisations and give them
an edge over competitors, particularly for eBusinesses and companies in the digital space. For such companies, the ability to identify and assimilate new technologies into their business model can be the difference between success and extinction.
This module provides an advanced and comprehensive look at current and future technological trends. It explores how current market leaders use technology to their advantage by providing a broad understanding of computing methods and infrastructures, new digital solutions, and applications such as artificial intelligence by forming an in-depth knowledge of “the art of the possible”, while preparing students for future technological change. This module will equip the student with the right skills to both explore new technologies, and explore their potential exploitations.
In particular, this module will consider the emerging technology landscape covering technologies such as: artificial intelligence, cloud computing, VR/AR, Blockchain, cryptocurrencies, virtual assistants, and cyber security. We will seek to engage with WMG researchers such as those working in automation and robotics to incorporate the latest work in these fields.
In addition to introducing students to the technologies themselves, the module aims to enable participants to recognise the opportunities and challenges that emerging technologies may bring, and identify use-cases and industries that could face disruption from new technologies.
Upon successful completion participants will be able to:
- Interpret and evaluate critical digital technologies and their application in various industries
- Demonstrate practical competence with selected types of digital technology
- Appraise the theory and concepts behind the technical deployments of emerging digital technologies.
- Evaluate and implement new and emerging digital technologies to specific business contexts.
- Interpret and evaluate current technological limitations and demonstrate how to future proof know-how.
1. Evaluating emerging technologies
- The technology hype cycle
- Exploration and exploitation of new technologies
- Digital disruption
- Industry analysis and market research
2. High Performance Computing and Artificial Intelligence
- Big data and artificial intelligence
- Cloud computing
- Internet of things and mobile technologies
- Cryptocurrencies and quantum computing
3. Visualisation and Collaboration
- Virtual and augmented reality
- Robotics and virtual assistants
- Crowd sourcing
“Evaluating emerging technologies” aims to provide students with the fundamentals, techniques and patterns for evaluating the appropriacy of technologies to specific industries and contexts, and assessing their impact. This includes developing an appreciation for technology hype cycles, and the paired cycles of exploration and exploitation (particularly in a vendor and/or consultancy context). Additionally participants will explore the key factors that enable digital disruption, as well as the impacts it may bring.
“High performance computing and artificial intelligence” focuses on the new architectures, technologies and patterns that underpin big data and cloud computing. This includes key topics such as internet of things, mobility, and cryptocurrencies.
Finally, “visualisation and collaboration” focuses on the interface between technology and human perception/collaboration. This incorporates the use of VR/AR, robotics, virtual assistants, and web 2.0 concepts such as crowd sourcing and e-collaboration.
Case studies, practical workshops and syndicate work will underpin the theoretical knowledge of some of the presented technologies.
4000 Words Post Module (70% of the weighting) and In Module Assessment (30% of the weighting)
1 week, including 19.5 hours of lectures, 13.5 hours of seminars