Table of Contents
What forms of communications do you handle?
Re:infer is able to support multiple forms of conversational data, i.e. when a person is talking to another person in a digitally mediated channel. Examples include emails, case management tickets, chats, call transcripts, surveys, reviews, case notes, amongst others.
How do you handle communications with attachments?
Re:infer interprets the core conversational contents of a conversation. For email conversations, subjects, body text and the thread are all considered but the contents of the attachments are not. Re:infer is able to identify when emails have attachments and their names, file types, and size. The names of the attachments can be displayed in Re:infer's UI and can form part of the body of text from which Re:infer's models train.
The objective of training a model is to create a set of training data that is as representative as possible of the dataset as a whole, so that Re:infer can accurately and confidently predict the relevant labels and entities for each verbatim. The labels and entities within a dataset should be intrinsically linked to the overall objectives of the use case and provide significant business value.
If you want to interpret attached content please reach out to your Customer Success lead to discuss some of the best solutions we've seen our clients use in conjunction with Re:infer.
Can I upload data to the platform myself?
Yes, if you have sufficient permissions you can use our APIs to add data to the platform, or you can add data to a source via CSV upload.
If you're a non-technical user and want to upload data that is not in CSV format, please reach out to your Customer Success lead.
What volumes of data can the platform support and is there a limit?
The storage of data in the platform can be scaled to suit the needs of our clients, and allowed volume usage is dependent on agreed licence terms. Usage within the maximum volume agreed in the license is completely acceptable. Exceeding the maximum volume will require a discussion and may incur additional cost.
Please reach out to your Customer Success lead if you wish to discuss further. Please give the Re:infer team warning if you plan on significantly increasing usage.
How long does Re:infer store my data for?
Re:infer will not automatically delete historical data. Older data can be removed by your Re:infer administrator if required. If you want to discuss requirements for this, please contact your Customer Success lead.
How can I export my data from the platform so that I can use elsewhere?
Users can export their data from the platform via CSV or using the Re:infer’s APIs. Detailed explanations of how this can be done are shown in our how-to guides as well as our API documentation. Re:infer will not automatically delete historical data. Older data can be removed by your Re:infer administrator if required. If you want to discuss requirements for this, please contact your Customer Success lead.
How do I create my own datasets?
Once you have logged in you will be taken to the Datasets page where you can create your own dataset, if you have the associated permissions to do so. See here for a detailed explanation on how to do this.
How can I connect to the Re:infer API?
You can find out how to use our API from the Global Action menu. Please see our Navigating Re:infer guide for instructions
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