Artificial Intelligence in Business and Data Analytics Paper solution 1

Artificial Intelligence in Business and Data Analytics Paper

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Style:APA/MLA/Harvard/Chicago

Pages:5-10

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Artificial Intelligence in Business and Data Analytics Paper

The phase of digital revolution and globalization business intelligence has rapidly developed and now it is impossible to go through daily business news without finding an issue relating to the same. Some of the key and globally know development include Data Quality Management (DQM), data visualization, artificial intelligence, collaborative business intelligence and data-driven culture. This article, the primary focus will be on artificial intelligence (AI) as one of the major and current trends in business analytics.

AI involves incorporating human intelligence in machines in such a way that they can perform human tasks through computerized commands or programs in an adjustable and flexible way according to the situation at hand (Makridakis, 2017). Despite that this trend is still in its early stages of development there are several areas in business performance and data analysis that that investor now fully depends on to enhance accuracy and efficiency in their performance capacity.

For example, it has always been known that analysis data in a massive and tedious work but AI comes with the benefit of changing that perspective by proving automated programs that can efficiently analyze, evaluate and provide results within a fraction of a second. Surprisingly AI does not only provides result but also identifies all possible anomalies in the system hence making it easier for businesses to make the appropriate adjustment with better information for making decisions.

Businesses such as Google, Microsoft, IBM, and Amazon continue to invest more in this field. Surprisingly, some suggestions indicate that AI will also lead to new risk exposes in the security and human labor market (Makridakis, 2017). These two perspectives have a great effect on human daily life and therefore it is crucial to understand this technology.

How it will affect business and what investors and other stakeholders should watch out for in the future as we continue to implement it in various field and business operations such as data protection, management, and planning in businesses.

Reference

Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46-60.

Artificial Intelligence in Business and Data Analytics Paper

RUBRIC

Artificial Intelligence in Business and Data Analytics Paper

Excellent Quality

95-100%

Introduction

45-41 points

The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.

Literature Support

91-84 points

The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.

Methodology

58-53 points

Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.

Average Score

50-85%

40-38 points

More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.

83-76 points

Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.

52-49 points

Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.

Poor Quality

0-45%

37-1 points

The background and/or significance are missing. No search history information is provided.

75-1 points

Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.

48-1 points

There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met