Artificial Intelligence is paving its way into companies’ creative development process: Generative AI can give quick suggestions that can save time and effort so many organizational functions are slowly trying to integrate such tools into their typical tasks. Figures like the Product Manager, that is responsible of the development and success of a new product, could benefit from a correct and wise use of these technologies. In this thesis there will be studied two main topics: in the first part there will be explored new possibilities AI can give to product managers to help them with challenges they face during every phase of the product development process, which tools and templates can be better used with AI, followed by some examples of prompts output that could be obtained by using such elements. In the second part, there will be discussed techniques and approaches that aim to increase product value by implementing AI features, putting emphasis on the figure of the customer (with their needs and expectations) together with potential issues or drawbacks coming from inappropriate usage of AI. The research activity here presented, was done in parallel with the curricular internship experience that took place in Bergamo’s ABB electrification headquarters, more specifically inside the function of Product Management Excellence and Business Development.
L’intelligenza artificiale si sta facendo strada nel processo di sviluppo creativo delle aziende: la Generative AI può fornire suggerimenti in maniera rapida che possono far risparmiare tempo e fatica, pertanto molte funzioni organizzative stanno lentamente cercando di integrare tali strumenti nelle loro attività. Figure come il Product Manager, che è responsabile dello sviluppo e del successo di un nuovo prodotto, potrebbero trarre vantaggio da un uso corretto e consapevole di tali tecnologie. In questa tesi verranno studiati due principali argomenti: nella prima parte verranno esplorate nuove possibilità che l’intelligenza artificiale può offrire ai product manager per aiutarli nelle sfide che si trovano a dover affrontare durante ogni fase del processo di sviluppo del prodotto, quali strumenti e modelli possono essere meglio utilizzati con l’IA, seguendo con alcuni esempi di output a prompts che è possibile ottenere utilizzando tali elementi. Nella seconda parte, verranno discusse le tecniche e gli approcci che mirano ad aumentare valore del prodotto implementando funzionalità di intelligenza artificiale, ponendo l’enfasi sulla figura del cliente (con le sue esigenze e aspettative) insieme a potenziali problemi o svantaggi derivanti da un uso inappropriato dell’intelligenza artificiale. L’attività di ricerca qui presentata, è stata svolta in parallelo con l’attività esperienza di tirocinio che si è svolta presso la sede di elettrificazione ABB di Bergamo più specificamente all’interno della funzione di Product Management Excellence e Business Development.
Leverage AI in Product Management: analysis of the tools available to tackle Product Managers’ challenges and increase product value
PIAI, GRETA
2023/2024
Abstract
Artificial Intelligence is paving its way into companies’ creative development process: Generative AI can give quick suggestions that can save time and effort so many organizational functions are slowly trying to integrate such tools into their typical tasks. Figures like the Product Manager, that is responsible of the development and success of a new product, could benefit from a correct and wise use of these technologies. In this thesis there will be studied two main topics: in the first part there will be explored new possibilities AI can give to product managers to help them with challenges they face during every phase of the product development process, which tools and templates can be better used with AI, followed by some examples of prompts output that could be obtained by using such elements. In the second part, there will be discussed techniques and approaches that aim to increase product value by implementing AI features, putting emphasis on the figure of the customer (with their needs and expectations) together with potential issues or drawbacks coming from inappropriate usage of AI. The research activity here presented, was done in parallel with the curricular internship experience that took place in Bergamo’s ABB electrification headquarters, more specifically inside the function of Product Management Excellence and Business Development.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/78072