Discovery & Data Analysis
Understand business needs and analyze available data sources.
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AI
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AI Strategy & Model Selection
Define the right AI approach and choose suitable algorithms or models.
3
Model Development
Build and train machine learning or AI models tailored to your use case.
4
Testing & Validation
Evaluate model accuracy and performance with real-world data.
5
Deployment
Deploy AI models into production environments or applications.
6
Monitoring & Optimization
Continuously monitor model performance and fine-tune for improvements.
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