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Avi Desai

Professor Jung

MIS 2502

1 May 2021

 

Artificial intelligence has been a new and revolutionary technology to be utilized in many growing aspects of science, among other things. Artificial intelligence is the intelligence and emotions portrayed by human beings, but rather coming from the use of machines. Artificial intelligence allows tasks to be completed that require human intelligence, but with no human present. These human interactions that are altered portray human vision, speech, decision making, and language translation as well. This speeds up many processes, doing what a human can do but at a much faster efficiency rate. The essential purpose of artificial systems is to not only increase the speed of things being done, but also do it better than humans. Artificial intelligence also improves the precision of human tasks as this basically eliminates all human error.

Artificial intelligence is essential for helping companies with their data and analytics issues. CEO of SAS, Jim Goodnight, states “AI techniques can be used to identify which transactions are likely to be fraudulent, adopt fast and accurate credit scoring, as well as automate manually intense data management tasks.” For card companies for example, artificial intelligence can be used to monitor what a customer buys, or what people with different characteristics are likely to buy. Once this information is gathered and grouped together through the system, the company can then analyze it through data visualization and increase their companies profits and revenue. All of the databases that were searched through writing code in this class, would have been able to be completed through artificial intelligence. Not only would it be able to analyze quickly, but would also be able to look though many at once, no matter the size. 

One of the most common uses of artificial intelligence is Amazon’s use for it to display suggested products that people are likely to buy. Artificial intelligence creates an algorithm to decide what you may be interested in based on your past purchases, further trying to increase profit. 

 

1. The goals of this project was to perform a penetration test on a fake company’s server (Humbleify). After finding the vulnerabilities and exploits we were to describe mitigation techniques. The project gave me a grasp of using Kali Linux and the Google Cloud Platform, and how many opportunities hackers have if an organization doesn’t have mitigation techniques in place.
   1. https://community.mis.temple.edu/amolakbhatti/files/2021/05/Milestone-3-4.docx

The purpose of this project was to learn about a topic on Data Analytics that was not taught during our 2502 course. We were then asked to research a topic that fell under this category, and I chose to research Social network analysis. After concluding my research, I learned that Social network analysis focuses on network behavior to understand a group’s strengths, weaknesses, and relationships. It can be applied in team-building activities to get a closer look at relationships between groups of people that were hidden before. At first, I thought this was a brand new topic for me, but I quickly learned that a lot of the mapping used in SNA is similar to Cluster Analysis that we have learned this semester. Overall, it was interesting to see a broad topic like Clustering build into something like Social network analysis.

https://docs.google.com/document/d/1HT101jxhUMvOOzV2Gg1u3B2MVKoJm-R3pTit5dexa9Y/edit?usp=sharing

MIS 3406 Pro Points Assignment

There were four milestones for this semester-long project. The first milestone was a Risk Assessment Report Draft, which aimed to create a risk assessment report for managers in a company. The second milestone was a revised Risk Assessment Report. The third milestone was to apply penetration testing on a company\\\’s server to determine risks and vulnerabilities within the server. The fourth milestone was to create mitigations for the risks and vulnerabilities in milestone three. This project taught me the importance of cybersecurity because our team was able to find multiple vulnerabilities with no information, prior to accessing the server.

Research

1. Include the goals, results, project URL (if applicable), and what you learned in a brief paragraph.
2. Once approved, the description is automatically displayed in a post on your e-portfolio.

AWS Vs. GCP

Mobile Cloud Computing

The goal of the project was to conduct research on cloud computing and cloud application deployment that was not covered in class. I chose to compare AWS with Google Cloud Platform for the first part and then mobile cloud computing for the second. The research was simple for the former since it was a comparison between what we are familiar with and a platform that is essentially the same. The issue with research was mobile cloud computing. It’s a topic I am not familiar with so it was difficult learning something new and trying to relate it to our course. What I’ve learned with AWS and Google Cloud Computing is that there is not superior provider, it depends on the unique situation of a business/user. For mobile cloud computing I learned that it is important to consider since mobile devices are becoming more and more of a necessity.

URL to write up:

Green and Mobile Cloud Computing

Edge Computing Vs. Mobile Cloud Computing (MCC)