How to build Data Driven product – Manufacturing

Production – product development with ML and AI

  • Scenario: 
    • a medium-sized company producing voice and video access control systems
    • interested in introducing data/cloud/ml/ai to its product portfolio
  • Organizational dilemmas
    • Understanding the business need
    • Complete lack of cloud, ML, AI competencies
    • The project was supported by funding from an EU grant for product development
  • Technological challenges
    • Local environment + cloud – product autonomy
    • AI trained in the cloud but then implemented in production locally in low-budget devices

Production – product development with ML and AI

  • Organisation: 
  • Dedicated Alterdata.io team:
    • DEV, DE, DA, DS 
  • Customer hardware team
  •  BUSINESS EFFECT:
  • From idea to design and product
  • Implementation of data applications on local node and cloud, ready for testing
  • in the laboratory and in the real environment
  • Machine learning models for sound detection
  • Commercialisation of the project

Google Cloud and local environment architecture:

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