Search: type-into-1

RCA.Activities.Core.ForEach Description This activity allows you to loop through arrays, lists, data tables or other types of collections. (* for Mandatory) Properties Input Values (IEnumerable

it. Type Argument (Dropdown List)* - Able to choose different types of variable that can be add

or other types of collections. [[image:image-20220513134113-1.png]] (* for Mandatory

will be shown in the log. Be careful, consider data security before using it. * **Type Argument (Dropdown List)*** - Able to choose different types of variable that can be add in the value property. The default value

will follow the API Details below API Details 1. Import Document Purposes: Documents can be imported

/uploadFile/{pipelineId} Content-Type: multipart/form-data Method: POST Request header: Authorization: Bearer {apiKey} Input body: Attribute Type Description Required pipelineId string Pipeline’s id Yes files Form

%20Lifecycle/Overview/]] 1. **Document model type:** |**Attribute**|**Type**|**Description** |aiResponse

?** == [[image:attach:IDP Sequence (1)-Page-1.drawio.png||cursorshover="true"]] === **a. Import Document** === The user

.  [[image:image-20230221102727-1.png||cursorshover="true" height="226" width="1097"]] Then user can upload

of user-generated automation solutions. 1. Idea Life Cycle

Assessment. The specific key performance indicators (KPIs) used to evaluate each idea will depend on the type

type should be used for this business process Cost Estimates: The Project Manager

of user-generated automation solutions. == **1. Idea Life Cycle** == [[image:image-20230222173039-7.png

-20230220160149-1.png||cursorshover="true"]] Once users have submitted their ideas to the akaBot Hub

. The specific key performance indicators (KPIs) used to evaluate each idea will depend on the type of idea

. You can use this key from the import document activity. Extract type: you can choose DataTable/Json

at the pipeline having key 1. Get Document Status To get specific document status. There are 2 field you need

Automation Type is Always, then export them and change the status. Import all the files in a folder

-20220420200751-1.png||cursorshover="true"]] === **Import Document** === (% class="box infomessage

type: you can choose DataTable/Json/XML format. * Update status to exported: status is updated

documents at the pipeline having key 1. === **Get Document Status** === (% class="box infomessage

Data Service into your automation workflows using features like: Advanced data types: Work

: 1. Capturing data about employee needs Description: You need to create a new process for capturing

[1] About Data Service

lượng tài liệu ii 1. Giới thiệu 2 1.1. Mục đích 2 1.2. Tổng quan các thành phần liên quan khi triển khai

Danh mục Hình ảnh Hình 1 Mô hình thành phần triển khai 3 Hướng Dẫn cài đặt / Triển Khai/ Bàn Giao/ VẬN

Hạ tầng mạng & DV CNTT (Nếu có liên quan) Chữ ký 1 <Tên hệ thống> - Phiên bản x.x.x.x [Tên Hệ

[1] About Data Service

can do with it: 1. Gather data: Run automated processes to collect data from different systems and prepare it for further processing in other systems. 1. Utilize data: Use the collected data for complex business processes that involve transferring data between automated and manual tasks. 1. Integration

No Column /Label Description Type Maximum Is Mandatory? Input Requirement 1 Key This is the identification

No Agent Settings Tab No Column /Label Description Type Maximum Is Mandatory? Input Requirement 1 Console

), you cannot edit the Username, Machine, or Type. To access the Agent page, click “Agent” tab

[1] Agent

[1] Agent

/Label|=Description|=Type|=Maximum|=Is Mandatory?|=Input Requirement |1|Console / RDP|akaBot executes

(executing a process), you cannot edit the Username, Machine, or Type. To access the Agent page, click “Agent

as below. [[image:image-20221031154319-2.png]] |=No|=Column/Label|=Description |1|**Action

By default, the Agents dashboard is comprised of the following widgets, which can be edited: Widget Name Widget Type Description 1 Number of agent Input Total number of agent 2 Total Utilization Input The total utilization, in hours 3 Agent Utilization (per day) Input Average

[1] Agents

[1] Agents

(% class="akb-page-with-toc" %) ((( (% class="akb-page-content" %) ((( [[image:image-20230413155837-1.png]] By default, the **Agents** dashboard is comprised of the following widgets, which can be edited: |= |=((( Widget Name )))|=((( Widget Type )))|=((( Description ))) |1|((( **Number of agent

1. Prerequisites Note: Please read this section carefully before installation. 1.1. Installation

to connect to the database includes: # Information Description 1 DB-SERVER IP address of the MSSQL Database

:\akaBot # Name File Name Version Mô tả Link 1 akaBot Center akaBot-center- 3.x.x.x.war Newest version

[1] Center Installation guide for standalone model on Windows Server (Network Edition)

" %)**1. Prerequisites**(%%) == (% class="box warningmessage" %) ((( Note: Please read this section

information for Center to connect to the database includes: |**#**|**Information**|**Description** |1|DB

Name|**Version**|(% style="width:344px" %)**Mô tả**|(% style="width:140px" %)**Link** |1|akaBot Center

1. Create an Account Note: Although akaBot Vision currently supports Pre-trained data fields

@akabot.com for more detail. Step 1: To create an account, head to the akaBot Vision registration page

password, you need to adapt the below policy: Minimum password length: 8. Require at least 1 lowercase

[1] Create an Account

" %) == **1. Create an Account** == (% class="box warningmessage" %) ((( **Note:** Although akaBot Vision

. ))) Step 1: To create an account, head to the akaBot Vision registration page. [[image:image-20220420182302-1.png||alt="image-20220420183141-4.png" data-xwiki-image-style-alignment="center"]] **Step 2

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

with document type is the model name that has been trained successfully Note: Staff can bypass training some

[1] Create New Learning Model

" %) ((( **Step 1**: Go to "Learning Models" tab ))) [[image:image-20230213140541-1.png||cursorshover="true

successfully, staff can use that model to extract data by creating new pipeline with document type is the model