Case study : how the Port of Montreal used NLP to fast-track critical cargo in 2020

Case study how the Port of Montreal used NLP to fast-track critical cargo in 2020

During the first months of the COVID-19 pandemic, it became crucial to prioritize shipments of critical cargo. In 2020 the Port of Montreal implemented an AI tool for the supply chain--in just six months from preparation to pilot delivery--with the goal of providing advance visibility to supply chai...

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Detalles Bibliográficos
Autor Corporativo: O'Reilly (Firm), publisher (publisher)
Otros Autores: Sanchez, Adrian Gonzalez, presenter (presenter)
Formato: Video
Idioma:Inglés
Publicado: [Sebastopol, California] : O'Reilly Media, Inc [2021]
Edición:[First edition]
Materias:
Cargo handling > Case studies.
Harbors > Québec (Province) > Montréal > Case studies.
COVID-19 Pandemic, 2020-
Natural language processing (Computer science)
Artificial intelligence.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009822740606719

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