Emerging technologies such as Artificial Intelligence (AI) are transforming industries and shaping tomorrow’s successful businesses. In this context, managers need to be able to spot emerging technological trends, identify technologies with the most significant value/impact, and leverage them to create and sustain the firm’s competitive advantage. However, due to the rapid evolution of the technological landscape, budding managers often lack adequate knowledge about these emerging technologies and their applications in business settings. Hence, this course primarily addresses this gap. The course will give an overview of the technology landscape, a brief understanding of key technologies and the use case scenarios of those in business. The course will then focus on AI given the importance of this in current business context, to give the student an understanding of the technology, its business use cases and impact.
The objectives of the course “Technology Landscapes” are:
- To introduce students to the technology landscape from a business standpoint.
- To familiarize students with various use cases of technologies in business and make them understand how these technologies can be used to create value and build/sustain competitive advantage. Specific emphasis will be on AI.
Course Contents
- Overview of the Technology Landscape
- Overview of AI, Generative AI and Prompt Engineering.
- Building simple Business Applications of Generative AI.
References
- Gartner (2022). Gartner Hype Cycle: https://www.gartner.com/en/research/methodologies/gartner-hype cycle
- Dias, F. S., & Lauretta, G. A. (2024). The transformative impact of AI and deep learning in business: A literature review. arXiv preprint arXiv:2410.23443.
- Manuals of relevant AI Tools.
- Faculty Notes (Technologies – Dr. Selvaraj Vadivelu)
- Vadivelu, S. (2025). The Influence of Artificial Intelligence on Human Resource Management to Enhance Work Efficiency and Shape Employee Behaviour. In The Palgrave Handbook of Breakthrough Technologies in Contemporary Organisations (pp. 175-183). Singapore: Springer Nature Singapore.
- Driving Business Value With Agentic AI: https://hbr.org/resources/pdfs/comm/wipro/drivingbusinessvaluewithagenticai.pdf
Sessions
- Introduction, Technology hype cycle and Technology Landscape with Usecase scenarios
- Introduction to AI: Terminologies, Concepts, Usecases and Tools.
- Application of AI: Prompt Engineering and Building simple business applications
- Refer: Technologies