This thesis explores the application of Generative AI within a business context, focusing on its potential to address various operational and strategic challenges. It aims to analyze different Generative AI tools and their capabilities, assessing their effectiveness in enhancing decision-making, streamlining processes, and fostering innovation. By examining case studies and conducting a comparative analysis, the research will provide insights into the ultimate benefits and limitations of implementing these technologies in organizations, offering a framework for businesses to leverage Generative AI for competitive advantage.
Application of Generative AI to the business context: analysis and assessment
SARSEN, BERDIBEK
2023/2024
Abstract
This thesis explores the application of Generative AI within a business context, focusing on its potential to address various operational and strategic challenges. It aims to analyze different Generative AI tools and their capabilities, assessing their effectiveness in enhancing decision-making, streamlining processes, and fostering innovation. By examining case studies and conducting a comparative analysis, the research will provide insights into the ultimate benefits and limitations of implementing these technologies in organizations, offering a framework for businesses to leverage Generative AI for competitive advantage.File | Dimensione | Formato | |
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BERDIBEK S. Application of GenAI to the business context pdfA.pdf
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https://hdl.handle.net/20.500.12608/77802