Sales and Project Support AI
Anwar, Ahmed (2024)
2024
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2024052013512
https://urn.fi/URN:NBN:fi:amk-2024052013512
Tiivistelmä
In a world where technology breakthroughs change industry outlines, this thesis delves into the precise integration of Artificial Intelligence (AI) into sales and project support domains. With a strong emphasis on open-source technologies such as LangChain and Ollama, the study seeks to highlight AI's transformational potential in enhancing several aspects of sales and project management.
Against the backdrop of rapid technological progress, this thesis seeks to contextualize the integration of AI in sales and project support. It dives into the overarching subject of how AI might transform traditional methodologies, emphasizing the need to streamline procedures and increase efficiency.
This research takes a diverse strategy, combining Python and C# programming languages to create AI-driven initiatives. The study demonstrates the creation and implementation of AI solutions for lead generation, customer segmentation, and project optimization by combining theoretical frameworks with real applications.
The analysis provides fascinating insights on the capabilities, strengths, and limits of present AI solutions on the market. By examining the usefulness of LangChain and Ollama, two notable open-source platforms known for their adaptability, the study reveals the practical impact of AI adoption on boosting sales and project support efforts.
This thesis concludes by revealing the substantial ramifications of incorporating AI into sales and project support models. By connecting theoretical foundations with real-world applications, it increases our knowledge of AI's revolutionary potential,also provides a road map for Wärtsilä to effectively leverage AI technology. Finally, this study emphasizes the importance of organizations embracing innovation in order to maintain a competitive advantage in an increasingly dynamic environment.
Against the backdrop of rapid technological progress, this thesis seeks to contextualize the integration of AI in sales and project support. It dives into the overarching subject of how AI might transform traditional methodologies, emphasizing the need to streamline procedures and increase efficiency.
This research takes a diverse strategy, combining Python and C# programming languages to create AI-driven initiatives. The study demonstrates the creation and implementation of AI solutions for lead generation, customer segmentation, and project optimization by combining theoretical frameworks with real applications.
The analysis provides fascinating insights on the capabilities, strengths, and limits of present AI solutions on the market. By examining the usefulness of LangChain and Ollama, two notable open-source platforms known for their adaptability, the study reveals the practical impact of AI adoption on boosting sales and project support efforts.
This thesis concludes by revealing the substantial ramifications of incorporating AI into sales and project support models. By connecting theoretical foundations with real-world applications, it increases our knowledge of AI's revolutionary potential,also provides a road map for Wärtsilä to effectively leverage AI technology. Finally, this study emphasizes the importance of organizations embracing innovation in order to maintain a competitive advantage in an increasingly dynamic environment.