Global ETD Search

1	Addswift : En webbplattform för internetanvändare över hela världen Gauffin, Christopher January 2018 (has links) New technologies arise everyday, but which ones are the best for your project? How do you store data in a safe manner that complies with the new European GDPR law? How do you plan, develop and complete a project? These are but a few formulations of questions that the study in this report will cover. The report is based around a business idea and vision for a company that offers advanced products built with modern technologies. The first step for the development of this company is to create a prototyp of its first product, a web platform. The prototyp will be formed after a projectplan with meetings with a supervisor and with the use of professional tools like Gantt, WBS and Trello. First and foremost a study will be done behind the theory of different frameworks and technologies but also a reasearch about GDPR and data security. The design phase will be the first part in shaping the projekt where wireframes, sitemap and ERdiagram have been created and documented. The choice of frameworks, mainly Vue, Express and MongoDB and the data security standards JWT and Oauth will be explained and used in the prototype as a base for the technical aspects of the project. Lastly the results och the finished prototype will be presented together with a discussion regarding problems that arose during the project, improvments that needs to be done and what the future holds for the complete web platform. / Nya tekniker växer i rasande fart, men vilka är bäst för ens projekt? Hur lagrar man data på ett säkert sätt som följer den nya europeiska GDPR lagen? Hur planerar, utvecklar och genomför man ett projekt? Dessa är några få frågeställningar som undersökningen i denna rapport tar tittar närmare på. Rapporten grundar sig på en affärsidé och vision för ett företag som erbjuder avancerade produkter skapade med moderna webbteknologier. Det första steget för företagets utveckling är att skapa en prototyp av den första produkten, en webbplattform. Prototypen kommer att utvecklas efter en projektplan med handledningsmöten och användning av professionella verktyg som Gantt, WBS och Trello. Först och främst studeras teorin bakom om olika ramverk och tekniker men även en undersökning om GDPR och datasäkerhet. Designfasen kommer sedan vara det första momentet för projektets utformning där bland annat wireframes, sitemap och ERdiagram har skapats och dokumenterats. Valet av ramverk, främst Vue, Express och MongoDB samt datasäkerhetsstandarna JWT och Oauth kommer att förklaras och användas i prototypen som grund för projektets tekniska skapande. Slutligen presenteras resultatet av den färdiga prototypen tillsammans med en diskussion över problem som uppstod under projektets gång, förbättringar som behöver göras och vilka framtidsplaner som finns för den fullständiga webbplattformen. GDPR Vue Node Express MongoDB JWT Oauth Datasäkerhet Projektutveckling Gantt ER WBS Trello Wireframe Sitemap Computer Engineering Datorteknik
2	Introducing Generative Artificial Intelligence in Tech Organizations : Developing and Evaluating a Proof of Concept for Data Management powered by a Retrieval Augmented Generation Model in a Large Language Model for Small and Medium-sized Enterprises in Tech / Introducering av Generativ Artificiell Intelligens i Tech Organisationer : Utveckling och utvärdering av ett Proof of Concept för datahantering förstärkt av en Retrieval Augmented Generation Model tillsammans med en Large Language Model för små och medelstora företag inom Tech Lithman, Harald, Nilsson, Anders January 2024 (has links) In recent years, generative AI has made significant strides, likely leaving an irreversible mark on contemporary society. The launch of OpenAI's ChatGPT 3.5 in 2022 manifested the greatness of the innovative technology, highlighting its performance and accessibility. This has led to a demand for implementation solutions across various industries and companies eager to leverage these new opportunities generative AI brings. This thesis explores the common operational challenges faced by a small-scale Tech Enterprise and, with these challenges identified, examines the opportunities that contemporary generative AI solutions may offer. Furthermore, the thesis investigates what type of generative technology is suitable for adoption and how it can be implemented responsibly and sustainably. The authors approach this topic through 14 interviews involving several AI researchers and the employees and executives of a small-scale Tech Enterprise, which served as a case company, combined with a literature review. The information was processed using multiple inductive thematic analyses to establish a solid foundation for the investigation, which led to the development of a Proof of Concept. The findings and conclusions of the authors emphasize the high relevance of having a clear purpose for the implementation of generative technology. Moreover, the authors predict that a sustainable and responsible implementation can create the conditions necessary for the specified small-scale company to grow. When the authors investigated potential operational challenges at the case company it was made clear that the most significant issue arose from unstructured and partially absent documentation. The conclusion reached by the authors is that a data management system powered by a Retrieval model in a LLM presents a potential path forward for significant value creation, as this solution enables data retrieval functionality from unstructured project data and also mitigates a major inherent issue with the technology, namely, hallucinations. Furthermore, in terms of implementation circumstances, both empirical and theoretical findings suggest that responsible use of generative technology requires training; hence, the authors have developed an educational framework named "KLART". Moving forward, the authors describe that sustainable implementation necessitates transparent systems, as this increases understanding, which in turn affects trust and secure use. The findings also indicate that sustainability is strongly linked to the user-friendliness of the AI service, leading the authors to emphasize the importance of HCD while developing and maintaining AI services. Finally, the authors argue for the value of automation, as it allows for continuous data and system updates that potentially can reduce maintenance. In summary, this thesis aims to contribute to an understanding of how small-scale Tech Enterprises can implement generative AI technology sustainably to enhance their competitive edge through innovation and data-driven decision-making. UX HCD HCI AI Artificial Intelligence Generative AI Implementing AI LLM GPT RAG Chatbot Prompt engineering Prompting framework Hallucinations Transparency Interaction Technologies Usability Linguistics Innovation SME Tech Enterprise Qte Growth factors Documentation Communication Knowledge retention Competence development Education Training Retrieval Model Data Data Management Database Knowledge base Maintenance Data security Data driven decision making Data analytics Social sustainability Economical sustainability Figma Trello Github OpenAI GTPs VsCode Azure CoPilot Google Bard Zapier GCS API Pipeline Parsing data Sorting data Storing data Human Computer Interaction Interaction Technologies Interaktionsteknik

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Addswift : En webbplattform för internetanvändare över hela världen