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Operation

Extraction and enhancement of data using appropriate solutions and resources (Big Data, AI, etc.).

Extraction and enhancement of data using appropriate solutions and resources (Big Data, AI, etc.).

Objectifs

  • Allow full or partial access to digital twin data by third parties
  • Post-process certain data to provide an additional value-added service on request
  • Continuously providing services derived from the natural heritage and living resources
  • Provide AI-based data extraction and real-time processing services.
  • Provide predictive simulation services based on digital twin data
Extraction and enhancement of data using appropriate solutions and resources (Big Data, AI, etc.).

Acteurs concernés

  • Local authorities / EPCI
  • Dealers/ Operators
  • Manufacturers/ Equipment suppliers
Extraction and enhancement of data using appropriate solutions and resources (Big Data, AI, etc.).

Avantages

  • Customize services to meet specific user needs, offering operational flexibility and adaptability to market trends.
  • Data monetization
  • Continuous, proactive management of natural resources with real-time data
  • Decision support in complex multi-use environments
  • Decision support based on self-learning predictive tools
  • Simulate and compare behavior under real-life conditions, especially for safety-critical applications

The digital twin’s best impetus is based on the multiplier effect it itself provokes, so much so that its endogenous and exogenous faculties bring intelligence to the whole of its environment!

Extracting and adding value to data extends the prospects for creating continuous added value. By providing full or partial access to the digital twin’s data to third parties, other doors are opened to new business opportunities and innovative collaborations. Post-processing certain data to provide additional value-added services responds to specific needs, offering customized services based on user requests. The regular use of the digital twin, by constantly providing services based on natural and living heritage, is constantly unfolding its full potential. This can include environmental information, predictive analysis of biodiversity, or other services linked to the sustainable management of natural resources.

Extraction and enhancement of data using appropriate solutions and resources (Big Data, AI, etc.).

Avantages

  • Customize services to meet specific user needs, offering operational flexibility and adaptability to market trends.
  • Data monetization
  • Continuous, proactive management of natural resources with real-time data
  • Decision support in complex multi-use environments
  • Decision support based on self-learning predictive tools
  • Simulate and compare behavior under real-life conditions, especially for safety-critical applications

Les retours d’expérience

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