SIT780 Individual Report: Contribution to Deep Learning Project

This individual report reflects on the student's contribution to a group project focused on deep learning and its applications in business, particularly for improving customer experience. The report details the student's initial understanding of deep learning, their role in shaping the project's direction, and their efforts in gathering relevant literature and real-world examples. The student highlights their contributions in identifying the significance of deep learning across various business functions, collecting evidence on its application in industries like finance and healthcare, and recommending its adoption for enhancing customer satisfaction within the Neto Ecommerce platform. The report emphasizes the importance of deep learning in understanding consumer behavior, improving operational efficiency, and gaining a competitive edge in the market. It concludes with recommendations for Neto Ecommerce to leverage deep learning for market analysis and customer data insights.

Running head: INDIVIDUAL REPORT
Individual Report
Name of the Student
Name of the University
Author Note

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Individual Reflective Report
My Contribution
Firstly, I must mention that I did not have adequate idea about deep learning and how it is
implemented in the business. However, when preparing deep learning activities, I have gone
through few journals about deep learning or machine learning, which helps me to make our
group project accordingly. I have derived an intensive insight about deep learning and my ideas
helped my group members to work on the project. Initially, my group members thought that deep
learning should be applied to develop the research and development department of the chosen
organization. However, my understanding about this context helped my group members to learn
that deep learning can be applied across all business functions in the originations. To help my
group members, I have written introductory part of the assignment, which helps the members to
understand how the project should go forward and meet its purpose. I wrote a complete overview
of deep learning and its significance in business. Based on my overview, my group members
chose their individual section to work on –such as one of the members took the responsibility of
collecting journals on the application of deep learning in business. Likewise, I took the
responsibility of finding information regarding the emerging trends of deep learning and their
potential application.
While preparing the review of the literature, my group members gave the idea of
collecting information about machine learning and presenting them sequentially on the report but
I refused t idea. I explained that literature review should be critical and we have to make
different argumentative points considering the ideas and opinion of scholars on this context.
However, making a critical review is difficult as several evidences are required. Thus, to

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overcome this challenge, I helped my group members to collect more journals that have
authentic information and evidences of allocation of deep learning. We collected those journals
and identified the result and discussion provided by the scholar and eventually we present them
in the report in an argumentative way. Another challenge we found was finding information
about how deep leaning is applied to the business traversing each function of the business; hence
my contribution was, finding the internal elements associated with deep learning such as KPI
tracking and presenting how visualization of data is backing up the deep learning system without
any delay and flaws. Hence, I also had to find real-world examples of deep learning application
such as the Invoca –an organization using the deep approaches to enhance their business process
and functions.
Similarly, another significant responsibility that I undertook was finding the evidence
about how deep learning can help to gain insight about consumer behavior in the market. Hence,
I provided the data that with the help of cloud based business platforms; the business can obtain
actionable business insight where an element of deep learning such as Artificial Intelligence
plays a big role. We gained the insight that but using deep learning approaches, the organizations
can get more skilled or trained employees, which is usually reflected on organization’s overall
performance. In the literature, we were supposed to show the implementation or adoption of
deep learning in different industries.
Therefore, I have collected the data of financial sector where the organizations have
applied deep learning approaches to increase their client satisfaction. Likewise, I have collected
evidences of healthcare industry, where the organization have applied to deep learning to gain
insight about how medication can be developed with technology. Thereby, I must mention that
my contribution in preparing the group project was significant because the evidences that I

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collected for review was authentic which further helped us to gain the result that deep learning is
highly effective and it remains as great toll to identify the changing market environment trends.
Recommendation
The current scenario of Neto Ecommerce indicates that the organization has developed its
own retail and wholesale platforms and provides a complete solution for e-commerce, point of
sales, inventory and fulfillment. However, as the organization is dealing with several business
functions and operation it requires a large or extending workforce, which would help the firms to
complete all its operation on time. Thereby, instead of investing on hiring new workforce, the
organizations can incorporate deep learning in its business functions, which would help them to
speed up the organization operation and enhance client satisfaction rate. In addition, to enhance
the current position such as the customer satisfaction rate, the organization can use any of the
deep learning elements such as AI technology in its production system. In addition to this
scenario also helps to understand the organization needs to enhance customer base and to do this
the firm needs filtered consumer data of each regions where the organization is currently
performing the operation or it wishes to perform in the future. Hence, with the help of deep
learning approaches, Neto can install a machine is coded with historical data and information of
customers.
Hence, these deep learning approaches should be applied in a manner for example, that
the system shows the areas in which the consumers have a changing needs. For example, if an
organization members looks for market information of Texas, the system provide the same and a
similar market with different size and structure. In addition to this, the organization spend a
huge amount of money in market analysis to know customer needs. Nonetheless, if the

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organization uses deep learning method to identify customer needs, the proposed system will
help the organization to learn the similar needs of the customer or the future needs, as AI system
is designed in a way that it creates an automatic calculation and provide response. For example,
if the market analysts want to learn which beauty product that customers mostly want, the system
provides result and a similar result such as recommended skin care product.