Our Portfolio
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Supervised and unsupervised loops to update, adapt and improve model performance over time as they are exposed to new data or changing conditions.
- Development of the continuous learning strategy
- Identify relevant data sources for model improvement
- Determine accuracy and relevance baseline
- Implement supervised/unsupervised learning loops
- Stakeholders satisfaction evaluation and pain point assessment
- Collaborative model design
- Continuously update and improve models based on new data and changing conditions
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Our Artificial Intelligence Tasks
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