Aiimi Insight Engine
User GuidesAiimi
  • Introducing Aiimi Insight Engine
  • Architecture
    • Overview and Key Concepts
    • Hosting Options
    • Architecture and How It Works
      • Agent Servers
        • Security Agent
        • Source Agent
        • Content Agent
        • Enrichment Agent
        • Job Agent
        • OCR Agent
        • Migration Agent
        • Tika Agent
      • Repository
        • Data Node
        • Proxy Node
        • Kibana Node
      • Gateway and User Interface
      • Document and Data Sources
    • Deployment Options
    • Security
      • User Security
      • Data and Document Security
      • Source System Security
      • Firewalling
      • Agent Servers
      • Repository
      • Gateway (Web Server)
      • Tools & Utilities
  • Installation
    • Elastic and Kibana Install (Windows)
    • Aiimi Insight Engine Installation (Windows)
      • Installation Security
      • Certificates in a Key Vault
      • SAR Configuration
      • CSOM Bridge Set Up
      • AI Studio
    • AI Services
      • Prerequisites
      • AI Enrichment Service
        • Installation and Setup
        • Enabling Enrichment Steps
        • Using AI Enrichment Steps
        • Performance and Concurrency
      • AI Model Service
        • Installation and Setup
        • Enabling Providers
        • Private Generative AI
        • Azure Open AI
        • Enabling AI History
        • HTML Cleaner Service
      • Configuration of Logging
      • Offline Set-up of Models
      • Using SSL
      • Running as a Service (Windows)
      • Using GPUs
      • AI and Semantic Search Set Up
        • Open & Closed Book AI
        • Semantic Search
          • Vectors for Semantic Search
          • Source Configuration
          • Sentence Transformer Models
          • Enrichment
          • Kibana
          • Final Search Flow
    • Email Threading Upgrade
  • Run Books
    • SharePoint Online Connector
      • Migrating ACS to Azure AD with Sites.Read.All
      • Migrating ACS to Azure AD with Sites.FullControl.All
  • Control Hub
    • Agents
      • Configurations
        • Config Management
        • Security Configurations
          • Security - General
          • Security - Source
            • Active Directory
            • Atlassian
            • Azure Active Directory
            • Builtin Security
            • Miro Security
            • Google Directory
            • SharePoint Security
            • Slack Security
          • Security - Sync
          • Security - Agents
          • Security - Scheduling
        • Source Configurations
          • Source - General
          • Source - Source
            • Alfresco Kafka
            • Azure Blob Storage
            • BBC Monitoring
            • Big Query Cataloguer
            • BIM360
            • CSV Data Loader
            • Confluence
            • Content Server
            • Data File Cataloguer
            • Document Store
            • DocuSign
            • Dropbox
            • Exchange 365
            • Filesystem
            • Google Bucket
            • Google Drive
            • Google Vault
            • Jira
            • JSON Data Loader
            • Livelink
            • Microsoft Teams
            • Mimecast
            • Miro
            • ODBC Data Loader
            • PowerBi Cataloguer
            • Reuters Connect
            • ShareFile
            • SharePoint
              • Azure Portal and Azure AD Authentication
              • Sensitivity Labels
            • SharePoint Legacy
            • SQL Server Cataloguer
            • Slack
            • Versioned Document Store
            • Websites
            • XML Data Loader
          • Source - Crawl
          • Source - Agents
          • Source - Schedule
          • Source - Advanced
        • Enrichment Configurations
          • Creating a Pipeline
            • General
            • Steps
              • AccessMiner
              • AI Classification
              • Apply Sensitivity Label
              • Anonymiser
              • CAD Extractor
              • Checksum
              • Content Retrieval
              • Copy
              • Data Rule Processor
              • Delete
              • Direct Copy
              • Email Extractor
              • Entity Rule Processor
              • External Links
              • Geotag
              • Google NLP Extractor
              • Google Vision Extractor
              • Metrics Calculation
              • Microsoft Vision Extractor
              • OcrRest
              • Office Metadata
              • PCI Extractor
              • REST
              • Set Document Risk
              • Text Cleaner
              • Tika Text Extraction
              • Trie Entity Extractor
              • Update Metadata
            • Filters
            • Agents
            • Schedule
            • Advanced
        • OCR Engine
        • Job Configurations
          • General
          • Job
            • AutomatedSearchJob
            • Command Job
            • ElasticJob
            • Extended Metrics Job
            • File Extractor
            • GoogleVaultSAR
            • Google Drive Last Access Date
            • Nightly Events Processor Job
            • Notifications Processor Job
            • Portal Sync Job
            • Purge Job
            • SAR Archiving
            • Text Content Merge Job
          • Output
          • Agents
          • Scheduling
        • Migration Configuration
          • General
          • Filter
          • Metadata Mappings
          • Agents
          • Scheduling
          • Advanced
      • Stats
        • Data Views
    • Security
      • User Settings
      • Credentials
      • Authentication
      • Application Access
      • Auditing
      • Descriptor Groups
      • Uploads
    • Mappings
      • Entities
        • Manage Entity Groups
        • Create an Entity
        • Manage an Entity
      • Models
        • Create a New Model
        • Find a Model
        • Enable or Disable a Model
      • Vectors
      • Rank Features
    • Search Settings
      • Search Relevancy
        • Core Settings
        • Makers Algorithm
        • Filename Boost Layer
        • Minimum Matching Terms Filter
        • Field Boost
        • Modified Date Boosting
        • Hit Highlighting
        • Why My Search Matched
        • Data Search Strategy
      • Bulk Search
        • Managing a Bulk Search
      • Filtering
      • Search Performance
      • Related Results
      • Featured Links
    • AI Settings
      • Search Flows
        • Search Flow Types
        • General Configuration
        • Query and Prompt Classification
        • Search Steps
        • Smart Filtering
        • Model Steps
        • Result Templates
        • System Prompt
      • Tools
        • Concepts
        • Import OOTB Tools
        • Built In Functions and Tools
        • Create and Edit Tools
      • Classifications
        • Class
        • Class Rules
        • AI Classification
    • User Interface
      • Thumbnails
      • Code of Conduct
      • Visualisations
        • Related Result Connections Diagram
        • Event Timeline
        • Timeline Lens Activity Chart
        • Relationship Map
      • Map Lens
      • Theming
      • User Avatar
    • Global Settings
      • General
      • App Settings
      • Presets
      • Metrics
      • Viewer
      • SAR
        • Importing Data For A SAR
        • SAR Disclosure Document Storage
        • Getting SAR data from Google Vault
        • SAR Configuration Access
        • SAR File Status
      • Disclosure Portal
        • Disclosure Portal Set Up
        • SARs From The Portal
        • Email Delivery Settings
          • Delivery Settings
          • Brand Settings
          • Customise Emails
        • SMS Delivery Settings
        • Requestor Message Limit
        • Attachment Configuration
        • Password Configuration
        • File Scanner Configurator
      • Collections
      • Notifications
      • OData API
  • AI Studio
    • Classifications
      • Classifications
      • Classification Rules
    • Jobs
  • Labels
  • API Guides
    • Insight API Guide
      • Swagger Documentation
      • Trying Some Endpoints
      • Search Filter
      • Hits / Items
      • Inspecting REST Calls
    • Data Science API Guide
      • REST Interface
        • Login
        • Datasets
        • Fields
        • Field Statistics
        • Search
        • Scroll
        • Update
      • Python Library
      • Data Science API Wrapper
        • Login
        • Datasets
        • Fields
        • Field Statistics
        • Search
        • Scroll
        • Scroll Search
        • Update Single Document
        • Bulk Update
      • Search API Wrapper
        • Login
        • Privileged Access
        • Search
        • Collection
        • ChatBot Class
      • Admin API Wrapper
      • AI Model Server API Wrapper
      • Utilities
        • Query Builders
        • Azure Key Vault Wrapper
    • Creating a Native Enrichment Step
      • Creating an Enrichment Step
        • Creating the Core Classes
        • Extending our Enrichment Step
        • Adding a Configuration Template
        • Adding the Enrichment Step
        • Creating an Enrichment Pipeline
      • Other Tasks
        • Entities, Metadata and Data
        • Accessing the Repository
      • Example Code
      • Troubleshooting
    • Creating a Python Enrichment Step
      • Creating an Enrichment Step
        • Running the Example from Command Line
        • Running the Example
      • Creating Your Own Step
      • Adding or Changing Entities, Metadata
  • Whitepapers and Explainers
    • From a Billion To One – Mastering Relevancy
    • Methods for Text Summarization
      • Application
      • Technology Methods
      • Commercial Tools
      • Key Research Centres
      • Productionisation
      • Related Areas of Text Analytics
      • Conclusion
      • References
Powered by GitBook
On this page
  1. AI Studio

Jobs

PreviousClassification RulesNextLabels
CtrlK
  • New Clustering Job
  • New Training Job

Jobs are used to train models and cluster documents to help improve your classification experience. Clustering jobs help to improve the accuracy of any training jobs.

Clustering Jobs - Clustering jobs group files based on similarities. These groups can then be reviewed and labelled. These can then help improve the accuracy of training jobs.

Training Jobs - Training jobs are used to improve the models classify documents.


New Clustering Job

Clustering jobs look at the documents you picked and groups them based on what it think should go together. Once items have been clustered they can then be reviewed for accuracy within labels. This is then fed to training jobs to help them improve their accuracy.

  1. Within AI Studio, select Jobs from the menu.

  2. Select Clustering from the tabs.

  3. Select New Job.

    • This will open the Create a New Job modal.

  4. Job Type - Select Clustering from the dropdown list.

  5. Job Name - Enter a name for the job.

  6. Classification - Select the classification it is for from the dropdown.

  7. Sources - Select the Sources that it should use from the dropdown.

  8. Query String - Enter a Lucene string to help the job.

  9. Cluster Classified Documents - Check this to include documents that already have classifications.

  10. Select Create Job

    • Once you have set up a job it will join a queue to complete as only one job can be run at a time.

  11. Once a clustering job is complete it will be added to the labelling areas to be checked.


New Training Job

Training jobs are used to improve the models that apply classifications to your items. It takes a group of correctly classified or clustered items to learn from. It uses these items to identify common features that it can use in future to determine a classification.

  1. Within AI Studio, select Jobs from the menu.

  2. Select Training from the tabs.

  3. Select New Job.

    • This will open the Create a New Job modal.

  4. Job Type - Select Training from the dropdown list.

  5. Job Name - Enter a name for the job.

  6. Classification - Select the classification it is for from the dropdown.

  7. Sources - Select the Sources that it should use from the dropdown.

  8. Query String - Enter a Lucene string to help the job.

  9. Classes to Include - Select all the classes that should be trained using this from the dropdown.

  10. Classes to Exclude - Select all the classes that should not be trained using this from the dropdown.

  11. Status Include - Select the statuses that should be used for training no matter the classification method.

  12. Status Exclude - Select the statuses that should not be used for training.

  13. Select Create Job.

    • Once you have set up a job it will join a queue to complete as only one job can be run at a time.