Reference no: EM132447503 , Length: 3

Create a 2 - 3-page infographic summarizing the effects of an emerging technology on business and accounting.

• The objective of this assignment is to familiarize yourself with a variety of emerging data and technology topics and their importance to accounting.

An analytics mindset is the ability to:

1. Ask the right questions
2. Extract, transform, and load relevant data
3. Apply appropriate data analytics techniques
4. Interpret and share the results with stakeholders

• You will learn about emerging technologies that are or becoming influential in the accounting profession. Many of these technologies may have significant implications for the future of accounting. Understanding these current and emerging technologies can influence every aspect of an analytics mindset by changing the questions you ask, altering how you work with data, requiring you to apply different or new data analytics techniques, and influencing how you share your results with stakeholders.

Required

• Select a technology (see list below). Create an infographic that includes the following: (1) a brief summary about the topic and (2) explain how the technology affects, or could affect business and accounting. (3) Briefly explain how the technology affects/may affect the analytics mindset - asking the right questions, extracting/transforming/loading relevant data, applying appropriate data analytic techniques, and interpreting and sharing the results with stakeholders.

Sample List of Technologies

1. American Institute of Certified Public Accountants data standards
2. Artificial intelligence (software of robots)
3. Augmented reality and virtual reality
4. Big data ethics (including data privacy)
5. Big data storage (e.g. data lakes)
6. Blockchain (internet of value) and cryptocurrencies (bitcoin)
7. Cloud computing
8. Cognitive computing
9. Continuous auditing and monitoring
10. Cybersecurity
11. Dark data and dark analytics
12. Drones
13. Internet of Things (IOT), Internet of People and sensors
14. Machine learning
15. Natural language generation
16. Neural networks, deep neural networks and deep learning
17. Robotic process automation (RPA)