Technology plays a role in governance

 

Have you found yourself searching the internet and suddenly see an ad “pop up” that connects to the very topic or subject matter you were reading about? Have you shopped on-line only to see “Your Recommendations” delivered to a separate email about your browsing history?
These examples are the result of programs implemented using a variety of algorithms to “track” our search history, interests, shopping and dining preferences, and even our connections to a political party. After reviewing the readings and videos shared in our week 4 module, please respond to each of the following questions.
• How do you believe technology plays a role in governance and laws which have been created as technology has advanced?
• Are there benefits behind the algorithmic programs that share additional recommendations for us based on our “browsing history” through the internet? If so, what are they, and why are they beneficial?
• Consider the Net Neutrality rules currently being evaluated by the government (refer to the video and article shared on this topic in our weekly material). Do these “net changes” impact society’s perception of the government in a positive or negative way? Why do you feel that way?

 

 

If the maker of antivirus software wants to be successful, the software has to be as close to bulletproof

If the maker of antivirus software wants to be successful, the software has to be as close to bulletproof as the maker can possibly make it. Nothing is perfect; we certainly should understand at this point that no software can be proven bug free and that no security posture is 100% risk-free. Based on this statement, what do you think it could be better to improve the antivirus software? How safe do you feel to use antivirus software in your organization, and what other precautions do you use to prevent virus, malware, etc.?

Ethics and Technology

Chris smiled as he received the analysis packet from his supervisor. He had been working from home for GEH Mortgage Company, analyzing mortgage applications, for the past 3 years. This particular application involved not just a home mortgage but also an entire farmstead, a home and business. Whenever he received an assignment, he did not know how to analyze, he would call on his friend Joel, whom he had known since high school, to help him accomplish such tasks. He compensated Joel, usually with a case of beer, when they got together on the weekends. Chris knew he could trust Joel to do a good job on the analysis, because Joel had double majored in finance and accounting at a regional university. Chris would then tailor the analysis according to the way the firm expected reports to be submitted. He quickly e-mailed the application packet to Joel.

Chris was perceived as one of the most dependable analysts in the division because of his past work, much of which had been farmed out to Joel. He had received accolades and raises as a result and was enjoying his successful career with the firm.

Questions

The method used by Chris is obviously successful, and the company is satisfied with the results. Is it just good business, or is there an ethical dilemma present?
Should Chris confess to his supervisor or just continue the successful deception?
What are the privacy issues, given that the information used in these analyses is proprietary and sensitive?
Does this activity fit the notion of plagiarism?
Do electronic communication and the telecommuting arrangement make Chris’s actions more likely than if he were in the office?

Technology for the Health Record

Medical technology refers to the practical application of scientific knowledge to improve people’s health and to create efficiencies in the delivery of medical care. Medical technology has brought numerous benefits to modern civilization.

Look for two technology devices that enhance or link to health records.
Post the following information:
The website
Description of the devices
How does it enhance or link to the health record?

Tech-savvy data analyst

 

 

Assume you work for a small company (100 employees) that is quickly growing (both in terms of revenue and number of employees). As the organization is growing, issues with “dirty data” are beginning to arise – for all the reasons mentioned in the reading.

As a tech-savvy data analyst, you can see that something must be done to keep dirty data from becoming a problem for the company as it grows. You’ve been granted an audience with the CIO to make the case for putting sound data preparation practices in place. In making the case, you want to explain why such practices are important, and also offer some recommendations for next steps. What will you say?

 

Role of innovative technology in today’s world

 

For this week, start the response with a brief background of yourself that aligns with your career goals, (introduce yourself as someone who works in the logistics field) and then consider the following questions:
What is the role of innovative technology in today’s world?
What drives innovative technology development?
What are some examples of innovative technologies?
Discuss your thoughts on these questions supporting your findings and ideas with references from relevant articles in the news media and/or the Web.

 

Do You Trust Your Data?

 

Review the Case Study in Chapter 1: Do You Trust Your Data?
After reviewing the case, answer the following questions. Be sure to use outside resources and your textbook to validate your responses.
1. Why do you believe that data can be inaccurate?
2. What can a business do to ensure data is correct?
3. Explain how bad data will impact information, business intelligence, and knowledge.
4. Have you ever made a decision based on bad data? If so, please share how you could have verified the data quality.
5. Argue for or against the following statement “It is better to make a business decision with bad data than with no data”.

 

Do You Trust Your Data?

Review the Case Study in Chapter 1: Do You Trust Your Data?
After reviewing the case, answer the following questions. Be sure to use outside resources and your textbook to validate your responses.

  1. Why do you believe that data can be inaccurate?
  2. What can a business do to ensure data is correct?
  3. Explain how bad data will impact information, business intelligence, and knowledge.
  4. Have you ever made a decision based on bad data? If so, please share how you could have verified the data quality.
  5. Argue for or against the following statement “It is better to make a business decision with bad data than with no data”.