How Data Analytics Supports Management Strategy
POST 1:
How Data Analytics Supports Management Strategy
The new frontier of data analysis is artificial intelligence. It is an area that will be growing exponentially for years to come.
Module 2 Discussion Week 1 Resources
The Impact of Artificial Intelligence (AI) on Business (2022)
Why hybrid intelligence is the future of artificial intelligence at McKinsey (2022)
As Usage of Artificial Intelligence Proliferates, Companies May Underestimate AI's Business Risks (2022)
Artificial intelligence: What the C-suite needs to know (2022)
6 business risks of shortchanging AI ethics and governance (2022)
Week 1 Discussion Post
Using the readings and internet research, discuss the pros and cons of artificial intelligence as part of a data strategy. (Research Support Required)
This post should be 2 paragraphs (150-200 words). Since you are engaging in research, cite in the body of the post and add a reference list in APA format.
POST 2:
Economic Considerations in Strategy
We are taking economic analysis beyond a general application. Strategic applications of climate change in organizations have been slowly evolving over the last few decades.
Module 2 Discussion Week 2 Resources
See your climate blind spots (2022)
Time to get serious about the realities of climate risk (2022)
Analysis: Climate change, scarcity chip away at degrowth taboo (2022)
Planet Earth's Future Now Rests in the Hands of Big Business (2022)
The Climate Actions Companies Should Take Today (2022)
Week 2 Discussion Post
Based on internet research, share an example of a company acting positively in the area of climate change. Include economic impacts of its actions. (Do not use an example from the readings provided). (Research Support Required)
This post should be 2 paragraphs (150-200 words). Since you are engaging in research, cite in the body of the post and add a reference list in APA format.
Management Discussion
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Management Discussion
Post 1
With technological advancement, more inventions have emerged, some being more useful to businesses while others have not been very effective. One of the major inventions that has had both an impact and limitation on businesses is artificial intelligence (AI). AI has helped increase the efficiency of an organization when utilized as a part of data strategy. Some of the advantages and disadvantages that AI has contributed include:
Pros
Provides increased efficiency- AI has been programmed with close to zero errors since it is machine-generated work (Strong,2016). All human errors are reduced to a considerably low level. Most of the data gathered from the AI outcome is corrected based on the information fed to the system. A company will have the advantage of being exposed to high-quality data that would have consumed more time and resources to compile, which is essential for decision-making.
Increased accuracy- Artificial intelligence is more accurate and precise than human effort. It does not gamble with data, including figures, and there is minimal room for errors. According to Strong (2016), artificial intelligence has helped reduce unnecessary data losses that have affected businesses by analyzing all relevant data and compiling exactly what is needed for the company's operations.
Helps in repetitive jobs-Artificial intelligence does not tire as humans do. Most humans will avoid doing jobs requiring them to repeat similar tasks such as compiling the same data often (Strong,2016). AI will do similar tasks multiple times without tiring along the way. It ensures it always keeps the quality and standards equal for similar tasks.
Cons of AI
High creation cost- Creating an artificial intelligence infrastructure is highly demanding (Osoba & Welser IV,2017). The company will incur higher costs before the system can run as they wish. The cost issue discourages small businesses from set...