publiccode.yml

# This repository adheres to the publiccode.yml standard by including this 
# metadata file that makes public software easily discoverable.
# More info at https://github.com/italia/publiccode.yml

publiccodeYmlVersion: '0.2'
categories:
  - application-development
  - workflow-management
description:
  en:
    features:
      - data-science
      - automl
      - python
    genericName: Software to deploy AI algorithms
    longDescription: |
      If you are a data scientist, working on an algorithm that you would like
      to deploy across the enterprise, DXC's Industrialized AI starter makes it
      easier for you to:


      - Access, clean, and explore raw data

      - Build data pipelines

      - Run AI experiments

      - Publish microservices


      The repository is provided with links to example notebooks for individual
      models. These sample notebooks help to understand on how to use each
      function, what parameters are expected for each function and what will be
      the output of each function in a model. 
    shortDescription: |-
      DXC Industrialized AI Starter makes it easy for you to deploy your AI
      algorithms (Industrialize).
developmentStatus: stable
it:
  conforme:
    gdpr: false
    lineeGuidaDesign: false
    misureMinimeSicurezza: false
    modelloInteroperabilita: false
  countryExtensionVersion: '0.2'
  piattaforme:
    anpr: false
    cie: false
    pagopa: false
    spid: false
legal:
  license: Apache-2.0
localisation:
  availableLanguages:
    - en
  localisationReady: true
maintenance:
  contacts:
    - name: Karthikreddy Kuna
    - name: Madhu Bandru
  type: internal
name: DXC Industrialized AI Starter
platforms:
  - windows
  - mac
  - linux
releaseDate: '2022-04-26'
softwareType: standalone/desktop
url: 'https://github.com/dxc-technology/DXC-Industrialized-AI-Starter.git'