Search: output-data-table

, analyzing, and displaying logs produced by akaBot Centers. 5 Redis Cache In-memory data structure store used

on top of Apache Lucene and released under an Apache license. It is Java-based and can ingest data as well as search and index document files in diverse formats. Logstash is a data collection engine

Centers. |5|Redis Cache|(% style="width:690px" %)In-memory data structure store used as a database, cache

and released under an Apache license. It is Java-based and can ingest data as well as search and index document files in diverse formats. 1. **Logstash** is a data collection engine that unifies data from multiple

environment variables by typing command echo %JAVA_HOME%, the output should be a path that point to jdk 11 ex

Account” (2) Enter data for Login tab including: Login Name, Password as bellowed, leave authentication

all access rights for specific data base in this scenario, - Object Rights are right to work with any

}} #if ($xcontext.action != 'export') (% class="akb-toc" %) ((( (% class="akb-toc-title" %) ((( Table of Content

by typing command **echo %JAVA_HOME%**, the output should be a path that point to jdk 11 ex: **C:\Program

-101.png]] * Enter data for Login tab including: Login Name, Password as bellowed, leave

As a manager or administrator, users may want to know about, for instance, all the documents imported to a specific queue or which data fields required the most corrections. The dashboard’s reports

by a selected granularity. Table Of Content

to a specific queue or which data fields required the most corrections. The dashboard’s reports could also help

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and choose data type is "Table". Step 3: (This step is optional) Turn on button "Required" to set require

and data type for each column Step 6: Click "Save" button Table of Content

and Table Field 1. Add Form Field Step 1: On Add Learning Instance screen, click "Add Field" button

the table name on "Label" field and choose data type is "Table". ))) [[image:image-20221028164141-11.png

types of fields: Form Field and Table Field == **1. Add Form Field** == (% class="box infomessage

the field name on "Label" field and choose data type for field on "Data Type" field ))) [[image:image

documents to extract data. Staff can create a new learning model by following these below steps: Step 1

choose base model, staff will have to create form fields and table from scratch Step 5: Click "Save

. With the Form Fields, staff should label both "Label" and "Value" for each field if having enough data

, send the learning models to production and use them to run on actual documents to extract data. Staff

||cursorshover="true"]] * If staff doesn't choose base model, staff will have to create form fields and table

" for each field if having enough data in documents. This helps the model will extract data more exactly

After importing the document successfully and the data extraction process is successfully finished

, akaBot Vision provides users with the capability to add or remove rows in a table To insert a row, you can click "+" icon To delete a row, you can click "x" icon To add a new row at the end of the table

="wikigeneratedid" %) After importing the document successfully and the data extraction process is successfully

with this status in the “To review” tab in the user interface. [[image:image-20220420193327-1.png||data-xwiki

in each field that has been detected incorrectly [[image:image-20220420193327-2.png||data-xwiki-image

1. Create an Account Note: Although akaBot Vision currently supports Pre-trained data fields only for Invoice processing, the technology is documented agnostic and can extract data from any

customizable, so you can add/group/remove pipelines as needed. Table of Content

currently supports Pre-trained data fields only for Invoice processing, the technology is documented agnostic and can extract data from any structured document including receipts, purchase orders, shipping

-20220420182302-1.png||alt="image-20220420183141-4.png" data-xwiki-image-style-alignment="center"]] **Step 2

service Manage user data via APIs Manage user data via Web browsers Access Connect REST API resources

API data Manage Salesforce CDP profile data Perform ANSI SQL queries on Salesforce CDP data Access chatbot services Perform segmentation on Salesforce CDP data Perform requests at any time 8. Your

* Manage user data via APIs * Manage user data via Web browsers * Access Connect REST API resources

Ingestion API data * Manage Salesforce CDP profile data * Perform ANSI SQL queries on Salesforce CDP data * Access chatbot services * Perform segmentation on Salesforce CDP data * ((( Perform requests at any time

if you want to public it. Remember to consider data security requirement before using it. Display name

with a specific url. Default value is False Output Output Browser (Browser) - Output of the activity with type = ‘Browser’. Not allow whitespace in the output’s name. Stores all the information regarding your browser

” **Misc** * **Public (Checkbox)** - Check if you want to public it. Remember to consider data security

value is False **Output** * **Output Browser (Browser) **- Output of the activity with type = ‘Browser’. Not allow whitespace in the output’s name. Stores all the information regarding your browser

and structure your code better. E.g: [410342694] While Public (Checkbox) - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. Condition (Boolean

and structure your code better. E.g: [410342694] While * **Public (Checkbox)** - If you check it, the data of this activity will be shown in the log. Be careful, consider data security before using it. * **Condition

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