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DescriptionBuck-It is a budgeting application designed to meet the unique needs of college students. As financial literacy is crucial for developing positive long-term financial habits, Buck-It aims to promote budgeting among college students through an appealing user interface, robust customization, and effective categorization.
ContributorsWalle, Andrew (Author) / Doyle, Michael (Co-author) / Davitt, Ryan (Co-author) / Vemuri , Rajeev (Co-author) / Baptista, Asher (Co-author) / Byrne, Jared (Thesis director) / Lee, Peggy (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2024-05
Description
The rapid expansion of artificial intelligence has propelled significant growth in the GPU market. In the evolving data center landscape, Company X faces challenges due to its lag in entering the GPU market, which jeopardizes its competitive advantage against industry players like Nvidia and AMD. To address these issues, our

The rapid expansion of artificial intelligence has propelled significant growth in the GPU market. In the evolving data center landscape, Company X faces challenges due to its lag in entering the GPU market, which jeopardizes its competitive advantage against industry players like Nvidia and AMD. To address these issues, our thesis aims to analyze market dynamics between CPUs and GPUs-whether they present distinct markets or compete against each other. We seek to guide Company X in maximizing profitability and sustaining its pivotal role in the semiconductor industry amidst the AI revolution. Specifically, we discuss optimizing their GPU offering, Falcon Shores, towards specific markets and doubling down on the production of CPUs.
ContributorsUlreich-Power, Cameron (Author) / Kujawa, Brennan (Co-author) / Mostaghimi, Dunya (Co-author) / Livesay, Thomas (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Barrett, The Honors College (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Finance (Contributor) / Department of Economics (Contributor)
Created2024-05
Description
The rapid expansion of artificial intelligence has propelled significant growth in the GPU market. In the evolving data center landscape, Company X faces challenges due to its lag in entering the GPU market, which jeopardizes its competitive advantage against industry players like Nvidia and AMD. To address these issues, our

The rapid expansion of artificial intelligence has propelled significant growth in the GPU market. In the evolving data center landscape, Company X faces challenges due to its lag in entering the GPU market, which jeopardizes its competitive advantage against industry players like Nvidia and AMD. To address these issues, our thesis aims to analyze market dynamics between CPUs and GPUs-whether they present distinct markets or compete against each other. We seek to guide Company X in maximizing profitability and sustaining its pivotal role in the semiconductor industry amidst the AI revolution. Specifically, we discuss optimizing their GPU offering, Falcon Shores, towards specific markets and doubling down on the production of CPUs.
ContributorsLivesay, Thomas (Author) / Kujawa, Brennan (Co-author) / Ulreich-Power, Cameron (Co-author) / Mostaghimi, Dunya (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2024-05
Description
This world promises just one thing: continuous change. As humanity has moved through time much has changed in the worlds of science, mathematics, and physics. These shifts in humanity's comprehension often arrive unexpectedly, driven by education, innovation, and experimentation. Such transformative waves resemble a series of technology shocks that are

This world promises just one thing: continuous change. As humanity has moved through time much has changed in the worlds of science, mathematics, and physics. These shifts in humanity's comprehension often arrive unexpectedly, driven by education, innovation, and experimentation. Such transformative waves resemble a series of technology shocks that are known to cause significant disruptions within an industry and the economy broadly as firms permanently change the ways they produce and distribute goods and services in response to new technologies or information. The recent flurry of innovation and interest in Artificial Intelligence leads us to believe that many industries may be experiencing such a wave of change today. The healthcare industry currently employs the most workers of any other sector in the United States (outside of the government) and is made up of an unprecedented 77% of female workers making the outcomes of changes in its labor market demands particularly important. In this paper we discuss the current state of Artificial Intelligence adoption within the clinical side of healthcare, what sub sectors and occupations are most exposed, and to what extent the FDA approved AI-enabled clinical healthcare products replace or complement those tasks of existing occupations. We also interviewed a few healthcare professionals with different levels of seniority and exposure to AI-enabled products to develop a holistic understanding of current AI adoption, employee preparation, and potential labor market implications over the short and long term. We find that AI implementation within clinical healthcare settings is young in its life cycle yet fast growing. Current use cases are mostly in the earlier stages of the patient’s care journey assisting workers in various capacities in the processes of patient testing, diagnosis, care planning, and post-treatment monitoring. The tasks associated with patient interaction and care administration do not appear to be threatened by AI automation at this point in time. Additionally, approved Artificial Intelligence products for clinical use are disproportionately concentrated in the subsectors of radiology, neurology, and cardiology. Finally, our interviews revealed a concerning lack of consideration and preparation, among healthcare workers, for the potential automation of their fundamental tasks. Going forward, we believe it wise for healthcare workers to monitor the evolution of clinical AI use cases as well as the FDA approval of AI-enabled products and prepare for potential automation by continuing to learn new skills, take on additional responsibilities, and generally inject themselves into as many stages of the patient’s healthcare journey as possible to differentiate among other workers and avoid the coming wave of mass clinical automation.
ContributorsAsheim, Brody (Author) / Dolasinski, Nicholas (Co-author) / Mehta, Ari (Co-author) / McElenney, Nicholas (Co-author) / Calvo, Paula (Thesis director) / Don, Rachael (Committee member) / Medcalf, Rollin (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / Department of Finance (Contributor)
Created2024-05
Description
Concero Partners is committed to pioneering innovative capital solutions in emerging markets, with a strategic focus on Latin America. By leveraging a state-of-the-art online brokerage platform, Concero Partners aims to democratize access to global capital for small to mid-sized businesses in Chile and Brazil, enhancing financial transparency and fostering economic

Concero Partners is committed to pioneering innovative capital solutions in emerging markets, with a strategic focus on Latin America. By leveraging a state-of-the-art online brokerage platform, Concero Partners aims to democratize access to global capital for small to mid-sized businesses in Chile and Brazil, enhancing financial transparency and fostering economic growth. At the heart of our mission is bridging the capital accessibility gap and simplifying transactions by collaborating with regional audit firms to standardize financial reporting, enhance market transparency, and make businesses more attractive to global investors. Beyond facilitating financial transactions, our broader goal is to stimulate economic growth by creating a more interconnected, efficient, and robust M&A ecosystem.
ContributorsFreiheit, William (Author) / Harmon, William (Co-author) / Dalton, Ryan (Co-author) / Seykora, Colton (Co-author) / Byrne, Jared (Thesis director) / Thomasson, Anna (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor)
Created2024-05
Description
This project examines entry-level processors for Company X. Analyzing their current position and creating recommendations for their future positioning in regard to entry-level processors. Utilizing financial models, our group worked to determine the most effective way to optimize NPV and gross margin for this segment. With extensive step models and

This project examines entry-level processors for Company X. Analyzing their current position and creating recommendations for their future positioning in regard to entry-level processors. Utilizing financial models, our group worked to determine the most effective way to optimize NPV and gross margin for this segment. With extensive step models and sensitivity analysis, we analyzed potential paths that Company X could take. Continuing to be mindful of the limitations that certain projected paths would entail. Through our analysis, we were able to form a comprehensive suggestion that had a positive 8-year NPV and an improved gross margin percentage.
ContributorsKuo, Nicholas (Author) / Mathias, Chase (Co-author) / Jones, Ciara (Co-author) / Huseinovic, Ayla (Co-author) / Simonson, Mark (Thesis director) / Hertz, Micheal (Committee member) / Barrett, The Honors College (Contributor) / Historical, Philosophical & Religious Studies, Sch (Contributor) / Department of Finance (Contributor)
Created2024-05
Description
For decades, society has held an innate fascination with serial murder and serial killers. The fascination lies in the motivations behind the actions and the way in which investigators apprehend them. The psychological field of investigative and behavioral psychology emerged to attempt to answer some of these questions and the

For decades, society has held an innate fascination with serial murder and serial killers. The fascination lies in the motivations behind the actions and the way in which investigators apprehend them. The psychological field of investigative and behavioral psychology emerged to attempt to answer some of these questions and the investigative tool of behavioral profiling soon followed. Researchers have conducted comparison studies of male and female serial killers many times to understand what differentiates them. This research aims to answer another question: Are female serial killers more homogenous based on their profiles than male serial killers? The media portrays female serial killers in a very specific light, poisoners who kill due to revenge or money, but how well does this portrayal actually hold up when analytically examined? This research compiled case studies of fifteen male and fifteen female serial killers based on twenty-six characteristics and profiled each according to three different typologies to determine how homogenous these groups actually are. This research can help assist investigators and the public to better understand the diversity of these types of offenders and be able to determine who these offenders are.
ContributorsRotenberg, Taylor (Author) / Guyll, Max (Thesis director) / Madon, Stephanie (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / Department of Finance (Contributor) / Economics Program in CLAS (Contributor)
Created2024-05
Description
The purpose of this paper is to elucidate the benefits and barriers of the circular economy in comparison to the traditional, single-use linear economy. The project scope pertains to a case study of a 100% reusable cup café store, conducting analysis through an environmental, financial, and social lens. Two tools

The purpose of this paper is to elucidate the benefits and barriers of the circular economy in comparison to the traditional, single-use linear economy. The project scope pertains to a case study of a 100% reusable cup café store, conducting analysis through an environmental, financial, and social lens. Two tools were created to analyze this program. A life cycle analysis was designed to interpret environmental impacts, and a total cost assessment was designed to analyze operational financing. The main finding of this work is to ensure that reusable cups exhibit an average lifetime, quantified in the number of uses, that exceeds environmental indicator break-even points to produce a lower emissions footprint within an open population café store setting.
ContributorsSroka, Sara (Author) / Simonson, Mark (Thesis director) / Johnson, Nathan (Committee member) / Barrett, The Honors College (Contributor) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Department of Finance (Contributor)
Created2024-05
Description
My thesis explores the various nuances and ways that emerging technologies in the AI field have changed the landscape of the music industry. In the paper, recently proposed legislation related to AI is also compiled and analyzed. This supports the overall claim that while AI technologies are quickly changing the

My thesis explores the various nuances and ways that emerging technologies in the AI field have changed the landscape of the music industry. In the paper, recently proposed legislation related to AI is also compiled and analyzed. This supports the overall claim that while AI technologies are quickly changing the music industry, legislation keeping this technology in check is slow moving and lacking in nature.
ContributorsCooney, Seamus (Author) / Pofahl, Geoffrey (Thesis director) / Licon, Wendell (Committee member) / Barrett, The Honors College (Contributor) / Department of Finance (Contributor) / Department of Information Systems (Contributor)
Created2024-05
Description
As a result of the recent boom in the popularity of Large Language Model (LLM) chatbots such as ChatGPT, the generative Artificial Intelligence (AI) landscape has seen a massive increase in market size. Along with this boom in generative AI, other sectors of AI have seen massive growth as well.

As a result of the recent boom in the popularity of Large Language Model (LLM) chatbots such as ChatGPT, the generative Artificial Intelligence (AI) landscape has seen a massive increase in market size. Along with this boom in generative AI, other sectors of AI have seen massive growth as well. One such area of interest is the Edge AI software market. Because this market is so new, there is an immense amount of room for growth and profit since most firms have yet to obtain a firm foothold in this space. Therefore, it makes sense that Company X is seeking to enter this market. With the successful release of Product O, an opensource AI development and optimization program, and Product G, a program for the development and deployment of computer vision models, Company X is seeking to understand the market landscape, overall potential returns, and broad applications for contingency in various scenarios before making further investments into this market. Through our in-depth analysis of the market, which examines current competitors, and includes top-down and bottoms-up analyses, we were able to create a detailed picture of potential market states, their effects on our recommendation, and the initial outlay needed for Company X to actively pursue our recommendation. As for our final recommendation, we believe that Company X should continue to market Product O to draw users into Company X’s hardware ecosystem, similar to what Apple did with the iPhone, which will allow Company X to obtain a greater market share and long-term user loyalty. Software-hardware synergies will continue to drive an increase in Company X’s overall profits. This secondary source of hardware sales will be insulated from the cyclical nature of the CPU market, allowing for less variability in revenues during market downturns. This decrease in the hardware sales cycle should lead to higher stock prices and increase stakeholder confidence. Successful implementation of these strategies boosts the success of future Company X product launches and stops any competitors from entering the Edge AI market, solidifying Company X’s hold on its market share.
ContributorsTrufanov, Nicholas (Author) / Bombardieri, Tristan (Co-author) / Feza Mto, Penina (Co-author) / Stearns, Dawson (Co-author) / Simonson, Mark (Thesis director) / Hertzel, Mike (Committee member) / Barrett, The Honors College (Contributor) / WPC Graduate Programs (Contributor) / Department of Information Systems (Contributor) / Department of Finance (Contributor)
Created2024-05