AI Integration – Model Improvement / Adaptation

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AI Integration – Model Improvement / Adaptation

Overzicht

The service offers specialised solutions to enhance the performance and accuracy of existing artificial intelligence model. We adjust the model to address specific problems by applying advanced data processing and augmentation techniques. This service includes the customisation of data processing and augmentation methods, tailored to optimise model's efficiency. Moreover, we implement online learning systems that allow model to continuously improve in real-time as new data is acquired. With ongoing updates and adaptations, we ensure AI model stays relevant and effective for particular use case

Meer over de service

Hoe kan de dienst u helpen?

Comprehensive support under this service helps improve the precision of the model, making it better suited to unique challenges. For example, before the service, customer's model struggled with unpredictable weather impacts. After the service, it accurately predicts yields by factoring in localised conditions, improving decision-making.

Hoe de dienst zal worden geleverd

Customer provides the necessary data, current model specifications, and any specific project goals or constraints. The service is fully customisable, and the exact time required will depend on the complexity of the problem. All work is done remotely.

Service maatwerk

Our service is fully customisable to meet customer-specific needs and ensure optimal model performance. Customisation can be influenced by various factors, such as the quality of the data provided, which can impact the final results.
Sector
Arable farming
Forestry
Food processing
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture
Testtype
Software or AI model
Soort dienst
Performance evaluation
Test execution
Land van levering
Remote Remote
Dienstverlener(s):
  • Poznan Supercomputing and Networking Center (PSNC)
    Poland
    | Website
  • Lukasiewicz Poznanski Instytut Technologiczny (L-PIT)
    Poland
    | Website

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