Automate the complete feature engineering and selection process with built-in tools. Harness AutoML to deliver top-performing machine learning models and boost accuracy through automated hyperparameter tuning. Once your model is developed and validated, deploy it instantly with a one-click deployment option.

Automated Data Science Capabilities of NewgenONE Platform

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  • Automatically generate AI-ready features by analyzing relationships across columns, tables, and datasets using AutoML-driven intelligence.
  • Create scalable, high-quality features by intelligently handling complex, multi-level relationships between enterprise datasets.
  • Apply governed, custom feature rules to align feature engineering with business logic, compliance, and model objectives.
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  • Improve model performance using advanced, AI-driven feature selection that intelligently selects from thousands of available features.
  • Apply enterprise-grade, automated feature validation based on the selected modeling algorithm to ensure reliable model training.
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  • Achieve optimal model performance with ML automatically selecting the right pre-processing, algorithms, and parameter configurations to scale AI initiatives efficiently across the enterprise.
  • Improve model performance with enterprise-grade automated hyperparameter tuning using advanced optimization techniques such as grid search and Bayesian optimization.
  • Optimize computational costs by using time-bound AutoML to control resource usage and improve cost efficiency.
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  • Enable one-click model deployment once AI models are developed and evaluated, accelerating time-to-value.
  • Leverage intelligent, automated model retraining and selection based on predefined schedules or event-driven triggers to maintain optimal performance.
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