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pro vyhledávání: '"Stefanucci, Andrea"'
Determining industry and product/service codes for a company is an important real-world task and is typically very expensive as it involves manual curation of data about the companies. Building an AI agent that can predict these codes automatically c
Externí odkaz:
http://arxiv.org/abs/2305.13532
Autor:
Kaur, Simerjot, Brugere, Ivan, Stefanucci, Andrea, Nourbakhsh, Armineh, Shah, Sameena, Veloso, Manuela
Matching companies and investors is usually considered a highly specialized decision making process. Building an AI agent that can automate such recommendation process can significantly help reduce costs, and eliminate human biases and errors. Howeve
Externí odkaz:
http://arxiv.org/abs/2111.01911
Autor:
Ravi, Vineeth, Amrouni, Selim, Stefanucci, Andrea, Nourbakhsh, Armineh, Reddy, Prashant, Veloso, Manuela
The financial services industry perpetually processes an overwhelming amount of complex data. Digital reports are often created based on tedious manual analysis as well as visualization of the underlying trends and characteristics of data. Often, the
Externí odkaz:
http://arxiv.org/abs/2010.01169