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The Global ETD Search service is a free service for researchers
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Showing 1 to 3 of 3 (0.025 seconds)Spelling suggestions: "subject:"drapier"" "subject:"clapier""
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A Comparative Analysis of Zapier and IFTTT through the Lens of Enterprise IntegrationCosar, Botan January 2021 (has links)
Integration platforms such as Zapier and IFTTT allow users to create custom flows that link events taking place in one application to an action that should occur in another. With the help of these platforms, people are able to automate work that would have otherwise required manual input. Thanks to this, the mundane tasks of everyday life can be delegated to computers while people are allowed to be more productive with their time. The question is, how exactly does Zapier and IFTTT implement these integration solutions, and how do they compare? From the perspective of a company that seeks to publish their application to the catalogues of these platforms, one would be interested in knowing what specific problems these platforms can solve, how they are solved, and how the solution can be evaluated. One theoretical framework that can be applied in order to answer all of these questions is known as enterprise integration. The problem is that an analysis of Zapier and IFTTT through the context of enterprise integration does not exist. The purpose of this thesis was to create this analysis. By doing so, companies would be able to make more informed decisions as to the selection and use of these technologies. Action research methodology was used to gather qualitative, inductive data, through the implementation of five smaller scale projects. Each of the projects was an investigation into a common type of problem that enterprise integration is typically used to solve. For each project, a set of criteria that were also taken from enterprise integration were used in order to evaluate the implementation’s strengths and weaknesses. A statement as to which of these platforms is better than the other was not found. However, similarities and differences between the two were able to be determined. The results indicated that Zapier’s strengths came mostly from the fact that it offers developers more freedom than IFTTT does, but that IFTTT had strengths that came from its ability to offer reliable delivery without compromise, and that it allowed developers to create better solutions in multiple scenarios. Findings like these were found and expressed through enterprise integration. / Integrationsplattformar såsom Zapier och IFTTT låter användare skapa sina egna skräddarsydda flöden som sammankopplar händelser som uppstår i en applikation till en aktion som ska ta plats i en annan. Med hjälp av dessa plattformar så kan folk automatisera arbete som annars hade krävt manuellt input. Tack vare detta så kan banala vardagsaktiviteter delegeras till datorer medan folk tillåts att vara mer produktiva med sin tid. Frågan är, hur exakt är Zapier och IFTTT:s lösningar implementerade, och hur jämförs dem med varandra? Från ett företags perspektiv som vill publicera sin applikation till dessa plattformars kataloger så skulle man vara intresserad av att veta vilka specifika problem dessa plattformar kan lösa, hur dem kan lösas, och hur lösningen kan utvärderas. Ett teoretiskt ramverk som kan appliceras för att svara på alla dessa frågor är enterprise integration. Problemet är att en analys av Zapier och IFTTT från kontexten av enterprise integration inte existerar. Syftet med denna uppsats var därför att skapa denna analys. Genom att göra detta så kan företag ta mer informerade beslut med avseende på hur de väljer och använder sig utav dessa teknologier. Aktionsforskning användes för att hämta kvalitativ, induktiv data, genom implementeringen utav fem mindre projekt. Varje projekt var en undersökning av ett typiskt problem som enterprise integration typiskt används till för att lösa. För varje projekt användes en uppsättning av kriterium som även dessa var tagna ur enterprise integration, för att bedöma implementeringens styrkor och svagheter. En slutsats om vilket av dessa plattformar som är bättre än det andra drogs inte. Likheter och skillnader kunde dock bestämmas. Resultaten indikerade att Zapiers styrkor mestadels kom från det faktum att dem ger utvecklare mer frihet än vad IFTTT gör, men att IFTTT hade styrkor som kom från det faktum att dem kunde erbjuda garanterad leverans utan kompromisser, och att utvecklare kunde skapa bättre lösningar i flera scenarion. Upptäckter som dessa kunde hittas och uttryckas genom enterprise integration.
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iipax one as a Service in Cloud Integration Platforms : A Comparison of Zapier, IFTTT and Power AutomateShamon, Olivia, Carlberg, Lucas January 2020 (has links)
This thesis covers the theme of cloud integration platforms as a service with Ida Infronts information and task management system iipax one. The premise of this thesis is to research the most optimal cloud integration platform and find what cloud-based functions that are useful for iipax one. Using a cloud integration platform with iipax one could be beneficial for the users as it allows them to automate simple repetitive tasks. But choosing an integration platform is not a simple undertaking as there are many available platforms, all with their own unique features. To find a suitable platform first we investigated potential platforms which revealed Power Automate, Zapier and IFTTT as candidates. Our comparison based on a literature study showed that Power Automate is most suitable for iipax one. Finally, we created a prototype implementation to integrate iipax one with Power Automate. The conclusion is that Power Automate is the best suited platform for iipax one. Although Zapier is a close second. For the useful functions we concluded that it is more important with templates that users can adopt rather than a multitude of triggers and actions.
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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 TechLithman, 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.
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