Development of the project or research
Analyze previous submissions and make changes as necessary to the final paper. Continue development of the project or research with a 2–3-page detailed analysis of how current and future technology trends might impact the project or research performed, a 1–2-page analysis of applying best ethical practices to your research project, and prepare two 2-slide PowerPoint presentations to a technical and nontechnical audience on your research project. This is the last and final section of the Key Assignment, and it should bring together all aspects of the project or research in one cohesive paper. Revise previous sections so that the entire document flows and has a strong introduction and conclusion.
The final step in the work for the course is to analyze how current and future technology trends might influence your project or research and discuss how to apply good ethical decision making practices to strategic solutions in the IT industry.
Technology tends to change rapidly and, in some cases, might alter an IT project before it is even completed. Research results can be outdated in a short period of time and must include an analysis of current and future trends as part of the overall analysis. For the first part of this assignment, add a 2–3-page detailed analysis of current and future trends in areas of Information Technology that could affect your project research results. Produce a financial impact analysis scenario for the company based on the potential impact of the trends.
Ethical practices such as how employees are treated, the use of information, the management of resources, or approaches to sustainability all have strong impacts on an organization. For example, consider 1) misuse of personal information, 2) misinformation and deep fakes, 3) lack of oversight and acceptance of responsibility, or 4) the use of artificial intelligence in a business. As managers, we have a responsibility to always be mindful to observe responsible ethical practices. For the second part of this assignment, add a 1–2-page analysis of how you, as the IT manager, would address 2–3 of these areas of best ethical practices that could apply to your project research results.
Prepare a 2-slide PPT presentation that addresses the technical audience of your project (i.e., the technical team) and a 2-slide PPT presentation that addresses the nontechnical members of the project (e.g., stakeholders, customers, business team members). Finally, you will further refine the project or research report to produce the Final Key Assignment. Updates should be based on peer and instructor feedback.
The project deliverables are the following:
• Update the Information Technology project or Technical Research document title page with new date and project name.
• Update previously completed sections based on instructor feedback.
• Current and Future Trends Analysis
o Provide a list of at least 3 current or future technology trends that might affect your project or research results.
o Discuss how each trend would influence your project or research.
Your discussion should provide details about the impact that the technology trend would have on your project or research.
o Justify your analysis with appropriate research.
o Produce a financial impact analysis scenario for the company based on the potential effect of trends that were identified in the previous steps.
• Application of Ethical Decision Making to Strategic Solutions in Industry
o Provide a 1–2-page analysis of how you, as the IT manager, would address 2–3 areas of best ethical practices that could apply to your project research results.
Sample Solution
Current and Future Technology Trends
There are many current and future technology trends that could impact IT projects and research. Some of the most important trends include:
- Artificial intelligence (AI): AI is rapidly evolving and is being used in a wide variety of applications, from customer service to healthcare. AI could have a major impact on IT projects, as it can be used to automate tasks, improve decision-making, and generate new insights.
Full Answer Section
- Machine learning: Machine learning is a subset of AI that allows computers to learn without being explicitly programmed. Machine learning is already being used in a variety of applications, such as fraud detection and spam filtering. It is likely to have an even greater impact on IT projects in the future.
- Big data: Big data is the collection and analysis of large datasets. Big data is becoming increasingly important, as it can be used to gain insights into customer behavior, improve product development, and make better decisions. IT projects that involve big data will become increasingly common in the future.
- Cloud computing: Cloud computing is the delivery of computing services over the internet. Cloud computing is becoming increasingly popular, as it can help businesses save money and improve flexibility. IT projects that involve cloud computing are also becoming more common.
- 5G: 5G is the fifth generation of cellular network technology. 5G is much faster than previous generations of cellular networks, and it will enable new applications such as augmented reality and virtual reality. IT projects that involve 5G are likely to become more common in the future.
- Increased efficiency: AI, machine learning, and big data can all be used to automate tasks and improve efficiency. This can lead to cost savings for businesses.
- Improved decision-making: AI and machine learning can be used to analyze data and make better decisions. This can lead to increased profits for businesses.
- New revenue opportunities: New technologies can create new revenue opportunities for businesses. For example, businesses can use big data to develop new products or services.
- Reduced risk: AI and machine learning can be used to identify and mitigate risks. This can help businesses avoid costly mistakes.
- Changes in the workforce: As AI and automation become more prevalent, the demand for certain IT skills may decrease. However, the demand for other skills, such as data science and machine learning, is likely to increase.
- Increased security concerns: As businesses collect and store more data, they become more vulnerable to cyberattacks. IT projects will need to take into account these security concerns.
- Regulatory changes: New technologies may also trigger new regulations. For example, the European Union's General Data Protection Regulation (GDPR) has implications for businesses that collect and use personal data.