Business Intelligence
Chapter 10
Question 1
The Military and Defense. As a tactical and organizational resource for the armed forces, military robots play a crucial role. Robots are being designed to perform a wider variety of tasks using artificial military intelligence. In the future, robots should be armed with the ability to cross various terrains, climb ladders, and work in extreme situations.
Question 2
Machines can make the workplace more productive by automating manual and repetitive procedures, but people will still play a vital role in the workplace (Waschull, Bokhorst, Molleman & Wortmann, 2020). As advances in artificial intelligence and robotics progress, many working classes will be severely and rapidly disrupted. Vast swaths of employees will lose their jobs, leading to massive unemployment. UBI, an economic concept in which a sum of money is annually paid to a population, maybe a critical bulwark against the unintended consequences of workplace automation. Industries would benefit significantly from the outsourcing of the workplace so that the private sector can continue to shoulder the burden while at the same time, also making higher profits.
Exercise 7
In recent years, rapid developments in machine learning and autonomous technology mean self-driving cars is now close to being a reality (Martin, Tarraf, Whitmore, DeWeese, Kenney, Schmid & DeLuca, 2019).
- Level 5 autonomous car: level refer to typical driver assistance, level five is capable of operating without human interaction.
- Fully autonomous coast-to-coast trip: at this level, the vehicle can work autonomously. However, it still required humans available to take control.
- Autonomous trucking becomes a reality: this is to revolutionize the logistics industry.
- Autonomous ride-sharing hits the mainstream: this is against the idea of owning a car.
- More Autonomous Tech in Non-Autonomous Cars: this is ideally to improve the existing cars to have a more autonomous tech.
Chapter 11
Question 4
Implementation of emerging technology at conventional meetings is not a new concept. The primary objective is productivity or reduced costs; digitization can require process reconstruction and the redefinition of functions and duties (Nambisan, Lyytinen, majchrzak & Song, 2017). Online resources offer direct advantages to both the Board Manager and the Directors and are an essential asset for Board meetings. Digital technologies are helping boards to address the most significant problems they face today, ensuring that meetings are organized, and pre-read documents are delivered in less time and more straightforward ways, rather than paper-based methods. Another advantage for the board of digital solutions is improved versatility, as it becomes easier to upgrade, change, add, or update documents. The directors also view the new edition. Furthermore, participants of the meetings can be contacted, and they can access their information anytime, anywhere; administrators can track if the participant’s information contacted them. Digital solutions also make it easier for boards to exchange knowledge and work together.
Exercise 4
Simon model holds four phases
- The intelligence phase: It involves defining the problem(s), collecting data, and setting targets and evaluation of criteria.
- Design phase: It includes a listing of a variety of practicable approaches and their assessment based on the criteria defined in the intelligence process
- Chose stage: selecting the best alternative.
- Monitor phase: ensures proper implementation of choice.
On the other hand, GDSS comprises phases such as Generation of the idea, Discussion, voting, and counting of votes. The facilitators control and supervise the development of those stages. The facilitators also monitor the use of different technological resources inside the group. GDSS is composed of three components, People, hardware, and software. People are the members participating in the meeting. Software is the various tools and techniques used. Hardware is the computer and electronics used.
References
Waschull, S., Bokhorst, J. A. C., Molleman, E., & Wortmann, J. C. (2020). Work design in future industrial production: Transforming towards cyber-physical systems. Computers & Industrial Engineering, 139, 105679.
Martin, B., Tarraf, D. C., Whitmore, T. C., DeWeese, J., Kenney, C., Schmid, J., & DeLuca, P. (2019). Advancing autonomous systems: an analysis of current and future technology for unmanned maritime vehicles.
Nambisan, S., Lyytinen, K., Majchrzak, A., & Song, M. (2017). Digital Innovation Management: Reinventing innovation management research in a digital world. Mis Quarterly, 41(1).