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Which business scenario is best automated using Machine Learning?
Machine Learning (ML) is a branch of artificial intelligence (AI) that enables computers to learn from data and perform tasks that are difficult or impossible to program explicitly. ML models can be trained to recognize patterns, make predictions, and generate outputs based on the input data. ML models can be integrated into automation solutions using UiPath AI Center, a cloud-based platform that allows users to deploy, manage, and consume ML models in their automations.
Among the four business scenarios given, the one that is best automated using ML is to classify emails in appropriate categories based on their subject and body. This is because email classification is a natural language processing (NLP) task that requires understanding the meaning and context of the text, which is not easy to achieve with rule-based or deterministic approaches. ML models can be trained to learn from a large corpus of labeled emails and assign categories to new emails based on their similarity and relevance. This can help automate the email management process and improve the efficiency and accuracy of email handling.
The other three scenarios can be automated using Robotic Process Automation (RPA), which is a technology that mimics human actions to interact with applications and systems. RPA can be used to create support tickets inside a helpdesk platform, calculate hotels inside a spreadsheet, and migrate data from one database to another, by following predefined steps and rules. These scenarios do not require ML models, as they do not involve complex or ambiguous data or tasks.
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