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by Xebia
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Xebia
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MIT
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Updated
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Studio: 19.4 - 22.10
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1
Using existing language and data, a classification model can be trained to emulate the same results from new incoming data from any source. This classification model can be hosted locally or remotely.
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There are various challenges ahead for the election commission for conducting fair election mechanism for the mass. For the resolution, we propose the transparent and fair election mechanism.
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KYC 1 automatizes the onboarding and monitoring process of KYC for financial institutions by using reliable, independent source documents and data about the clients registered in UK and France
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End-to-end solution to increase email productivity, trigger UiPath robots and automate email composition. This means spending considerably less time on emails and text requests, using the time saved for more value-added activities.
Streamline your Customer Service function through AI powered auto classification and routing of customer requests
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Bitext E-mail Intent Classification system is pre-trained to classify e-mails into intents covering 20 verticals.
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Enhance your RPA solution with email processing solution to automate customer service, case handling or any email-based business process.
Creation of Visualization Reports by analyzing customer reviews of the products posted on marketing platforms like Flipkart, Amazon, etc.
This accelerator automates the classification of card disputes into standard codes based on the classification types provided by card providers.
Solution to do an optical character recognition to read and validate the cheques instead of entering the info manually
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This AI Center model will classify emails according to their contents based on buckets that are given to it by supplying appropriate training data.