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Continuous Maintenance of AI Models

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Service Description

Continuous updating and optimization of AI models: we offer a structured retraining service to keep artificial intelligence models aligned with real data and evolving operating conditions. The service includes the collection and selection of new data, controlled retraining of models, performance validation, and release into production, ensuring more accurate, robust, and reliable models over time.
Expected results: Measurable improvement in model accuracy, reduction in data and performance drift, increased reliability of predictions, continuity of value generated by AI over time, reduction in manual corrective
Methodology:Assessment: Examine the current lifecycle of AI models in production, focusing on how data drift, concept drift, and performance degradation are currently monitored and managed. Evaluation: Analyze the current state of models (performance, metrics, error cases) and data flows, identifying where and how much the model is degrading. Data collection and preparation: Define new data sources, time windows of interest, and cleaning/labeling rules to build up-to-date and representative datasets. AI model retraining: Retrain models with new data and generate improved candidate versions. Validation and comparison: Compare the new versions with those in production to verify their actual improvement.
Target:Manufacturing & Automotive
  • Organisation: REPLY
  • Type: experiment
  • SUT/E: AI Models
  • Average duration: 4-6 months
  • Contact: m.diflorio@reply.it

Improving production with AI technologies