Artificial Intelligence and Content Generation for Big Brands

This report investigates the role of Artificial Intelligence (AI) in generating content for big brand products and services. It outlines project aims, objectives, and a project management plan. A comprehensive literature review explores AI's impact on customer behavior, data analysis, and marketing strategies, including the use of machine learning and image recognition. The report provides recommendations for AI implementation, emphasizing the importance of data analysis and customer insights. The conclusion highlights the significant value AI brings to content marketing, the growing sophistication of data analysis tools, and the importance of understanding customer needs. References are provided to support the research and findings. The report also touches on the ethics of AI and privacy of consumer data.

WHAT ROLE MAY AI PLAY IN
GENERATING CONTENT FOR
BIG BRAND PRODUCTS AND
SERVICES?

INTRODUCTION
 Aim of the project is provided in this report
along with the objectives of the project
 Timeframe is provided in this report along
with the project management plan.
 The artificial intelligence helps in the
improvement of the methods by which the
content is gained.

AIMS
 The aim of the project is to successfully implement the
technology of artificial intelligence in the ABC
organisation
 The project aims to deliver the AI technology
implementation for the organisation within the allocated
budget.
 The project aims to deliver the AI technology
implementation for the organisation within the allocated
time.
 The project aims to deliver the AI technology
implementation for the organisation within the allocated
resources.

OBJECTIVES
 This project intends to
provide the idea on how
artificial intelligence could
help in the generation of
the content for big brand
products and services.
 The project intends to
implement artificial
intelligence in ABC
organisation for allowing
them to benefit from the
implementation.

PROJECT MANAGEMENT PLAN
 Purpose: The purpose of the project is to provide the company with the
ability of gaining significantly from the implementation of the artificial
intelligence in the organisation. It would help in enhancing several
business processes.
 Scope: The scope of this project is to deliver the technology in the
organisation that would lead to the enhancement of the various
functions of the business.
 Resources: The resources required for the implementation of the
technology in the organisation are the skilled employees, hardware,
artificial intelligence tools, and the stakeholders are the employees,
customers, managers, IT department and the director of the company.

LITERATURE REVIEW
 The content generation using the artificial
intelligence is the most popular method that is used
in the present business world for the businesses and
the services. This technology helps the businesses to
understand the behaviour of the customers and
improve the customer experiences (Brynjolfsson,
Rock and Syverson 2018)
 The creation as well as the storage of the data is
happening already at the tremendous rate and it is
growing exponentially each passing day. The major
evolution of the big data and the advanced analytics
solutions has provided the markets with the
opportunity for building the clear picture regarding
the target audiences and the preferable market that
was once not considered as feasible
 The practice of the collection of the common
demographic information from the customers for
creating the successful business requirements is not
the latest trend

LITERATURE REVIEW (CONTD…)
 In the delivering of the personalised experiences of
the content experiences, the marketers have been
successful in the implementation of the AI
capabilities including the Machine learning in the
previously manual operations like the search
engines (Bostrom and Yudkowsky 2014)
 The algorithms that are based on the artificial
intelligence would be easily able to develop the
strategies by the analysis of the large volumes of
the data by the recognition along with the analysis
of the patterns
 forecasting of the methods by which the products
could be developed for the organisation. The
implementation of the artificial intelligence in the
organisation would help the marketers to gain the
valuable information of the customers for executing
the accurate analysis of all the data (Brown 2014)
 The artificial intelligence tools gathers the
information from various demographic location and
then perform the accurate data analysis.

LITERATURE REVIEW (CONTD…)
 The contemporary marketing has been increasingly quantitative, tied and targeted for the
outcomes of the businesses. The promotions and the ads are being increasingly customised for the
individual customers in the real time. The companies are increasingly employing the multiple
channels for gaining the customers but majorly of them are increasingly employing the digital
content (André et al. 2018).
 The major sector of the artificial intelligence has increasingly grown to extent that the tracking of
the proliferation of the studies has become the difficult task
 The advertisers have significantly depended on the methods like the market research, the web
analytics as well as the data mining for the development of the consumer profiles for the
understanding and influencing of the requirements.
 The image recognition is particularly important for learning regarding the particular style of the
individual user of the preferences using the images that are have been pinned on the website of
the ecommerce websites
 The crucial objective of advertising when any consumer initiates the deliberately possible offerings
for the satisfaction of the desires and the requiremnets is the insertion of the brand into the minds
and the consideration set of the consumers

RECOMMENDATIONS
 It is recommended to the organisation to
implement the artificial intelligence in the
organisation for allowing the
enhancement of the information
gathering and the accurate forecasting of
the requirements of the customers of the
organisation.
 The project must be completed within the
timeframe and the implementation of the
technology must be properly monitored
and managed to ensure the secured
implementation.
 In the future the innovative methods of
the consumer generated data mining
would drive the insight of the consumers
and then artificial intelligence would grow
to be the ultimate test for the privacy.

CONCLUSION
 The values gained from the implementation of the artificial intelligence would be significant for
the organisation. This rapid growth of the Big Data denotes that the marketers requires to
embrace the sophisticated methods of the processes and then perform the in-depth analysis of
the customer data, probably in the real time.
 The methods of the analysis of the data from several sources are growing gradually and
becoming extensively advanced. It denotes that the content marketers are utilising the increased
in-depth analytics tools and the solutions for the analysis of the relevance and the impact of the
content.
 The marketers are significantly leveraging major ability of the creation of the connection among
the various data points for gaining the valuable insights into the customer base.
 The stage of the requirement and the desire recognition could be defined as the stage at which
any requirement is triggered and it has been significantly difficult to track due to the fact that it
occurs at the category instead of the brand level.
 The image recognition is particularly important for learning regarding the particular style of the
individual user of the preferences using the images that are have been pinned on the website of
the ecommerce websites.

REFERENCES
 André, Q., Carmon, Z., Wertenbroch, K., Crum, A., Frank, D., Goldstein,
W., Huber, J., Van Boven, L., Weber, B. and Yang, H., 2018. Consumer
choice and autonomy in the age of artificial intelligence and big
data. Customer Needs and Solutions, 5(1-2), pp.28-37.
 Bostrom, N. and Yudkowsky, E., 2014. The ethics of artificial
intelligence. The Cambridge handbook of artificial intelligence, 1,
pp.316-334.
 Brown, F.M. ed., 2014. The Frame Problem in Artificial Intelligence:
Proceedings of the 1987 Workshop. Morgan Kaufmann.
 Brynjolfsson, E., Rock, D. and Syverson, C., 2018. Artificial intelligence
and the modern productivity paradox: A clash of expectations and
statistics. In The economics of artificial intelligence: An agenda.
University of Chicago Press.