Tag: Management Information System

1. Explain in your own words what a Filter Bubble is. How can that lead to a ‘Web of One’? 2. List at least 5 different AI systems from ‘simplest’ to most developed. Explain at least one business application for everyone. Include in every explanation a challenge the system faces. 3. Digital systems are more and better connected as development progresses. Users and businesses have increasingly remote access to all kinds of data. a. List at least 3 challenges to privacy and best practices to mitigate the threats. b. List at least 3 challenges to security and best practices to prevent security breaches.

1. Explain in your own words what a Filter Bubble is. How can that lead to a ‘Web of One’? 2. List at least 5 different AI systems from ‘simplest’ to most developed. Explain at least one business application for everyone. Include in every explanation a challenge the system faces. 3. Digital systems are more and better connected as development progresses. Users and businesses have increasingly remote access to all kinds of data. a. List at least 3 challenges to privacy and best practices to mitigate the threats. b. List at least 3 challenges to security and best practices to prevent security breaches.

1. In the current e-world, any organization’s massive operations are managed by various types
of information systems that help them to achieve their goals of servicing their clients. This can
be done by the growth of the modern organization. Discuss some of the essential features of
modern organization.
2. List and Explain FOUR technological trends that raise ethical concerns
3. Take an example of Airline reservation system / Core Banking System and criticize the
characteristics of good MIS therein.
4. Discuss application of MIS in UAE Retail Sector.
5. Evaluate in general terms, the challenges facing social networking websites (e.g., Twitter,
Facebook, WhatsApp, Instagram, WeChat, Pinterest, LinkedIn, TikTok etc.) and identify ways
companies can prepare to face these issues.
6. Read the case study given below and answer the questions at the end of the case.
General Electric’s SCISOR analyzes financial news
General Electric’s Research and Development Center has developed a natural language system
called SCISOR (System for Conceptual Information Summarization, Organization, and
Retrieval) that performs text analysis and question-answering in a limited, predefined subject
1area (called a constrained domain). One application of this system deals with analyzing
financial news. For example, SCISOR automatically selects and analyzes stories about
corporate mergers and acquisitions from the online financial service of Dow Jones. Ii is able to
process news in less than 10 seconds per story. First, it determines whether the story is about a
corporate merger or acquisition. Then, it selects information such as the target, suitor, and price
per share. The system allows the user to browse and ask questions such as, “What price was
offered for Polaroid?” or “How much was Bruck Plastics sold for?”
The system’s effectiveness was demonstrated in testing, when it proved to be 100 percent
accurate in identifying all 31 mergers and acquisitions stories that were included in a universe
of 731 financial news releases from the newswire service.
A similar application is a Web-based personalized news system that was developed in
Singapore to track business news available in English, Chinese, and Malay, summarize it, and
extract desired personalized news in any of these languages.
Questions:
(a) What are the benefits of analyzing financial news via a machine?
(b) What other applications might be developed with this type of system?
(c) How could such a system be combined with an Internet news dissemination portal such as
money.cnn.com?
(d) Discuss the reliability factor of such a system.
– 2021 4

Part 1
Chapter 1, section 1-6f Problem Solving Exercises (note some changes in text of exercise 2)
1. a. Create a table or spreadsheet that lists 10 or more possible career areas—including estimated annual salaries and brief job descriptions. Rate how much you think you would like each potential career area on a scale from 1 (“don’t like”) to 10 (“like the most”).
b. Highlight roles that you feel pertain to information systems. Add a column to briefly describe where this role fits within the umbrella of information systems.
32. Use presentation software to create a set of three slides that identifies the top three things you hope to learn from this course and why each is important to you.

Part 2
Choosing a Computer

1. Consider what you use a computer for and make a list of these tasks and activities (at least 5).
2. Research the main hardware features that will support the things you want to be able to do on your new computer (at least 5).
3. Research at least one example of software to perform each of the tasks in your list.
4. Create a table or spreadsheet listing both hardware and software, the tasks you need to perform, and a price range for each.
5. Include a paragraph discussing the possibility of green computing alternatives to your choices.

Part 3
Researching Big Data
1. Briefly define the term Big Data, what it is and how it is used.
2. Choose one of the following research topics related to Big Data.
• Find articles that discuss the use of big data in your career field or a field in which you are interested. What benefits are being delivered? What are some of the hardware and software tools being employed? What complications are limiting the results of big data? Write a paragraph or two answering each of these questions.
• Many executives still mistrust the results of big data and analytics. Find articles that address this issue and summarize the key reasons why. How might these issues be overcome?
• IBM Watson is a question-answering computer system capable of answering questions posed in natural language. Find articles that appeal and develop a one-page report that either discusses how Watson is “trained” or an application of Watson of interest to you.

Part 1
Chapter 1, section 1-6f Problem Solving Exercises (note some changes in text of exercise 2)
1. a. Create a table or spreadsheet that lists 10 or more possible career areas—including estimated annual salaries and brief job descriptions. Rate how much you think you would like each potential career area on a scale from 1 (“don’t like”) to 10 (“like the most”).
b. Highlight roles that you feel pertain to information systems. Add a column to briefly describe where this role fits within the umbrella of information systems.
32. Use presentation software to create a set of three slides that identifies the top three things you hope to learn from this course and why each is important to you.

Part 2
Choosing a Computer

1. Consider what you use a computer for and make a list of these tasks and activities (at least 5).
2. Research the main hardware features that will support the things you want to be able to do on your new computer (at least 5).
3. Research at least one example of software to perform each of the tasks in your list.
4. Create a table or spreadsheet listing both hardware and software, the tasks you need to perform, and a price range for each.
5. Include a paragraph discussing the possibility of green computing alternatives to your choices.

Part 3
Researching Big Data
1. Briefly define the term Big Data, what it is and how it is used.
2. Choose one of the following research topics related to Big Data.
• Find articles that discuss the use of big data in your career field or a field in which you are interested. What benefits are being delivered? What are some of the hardware and software tools being employed? What complications are limiting the results of big data? Write a paragraph or two answering each of these questions.
• Many executives still mistrust the results of big data and analytics. Find articles that address this issue and summarize the key reasons why. How might these issues be overcome?
• IBM Watson is a question-answering computer system capable of answering questions posed in natural language. Find articles that appeal and develop a one-page report that either discusses how Watson is “trained” or an application of Watson of interest to you.