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The AI-ready data platform for real AI execution, taking data from diagnosis to release and binding.

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Building the missing layer for enterprise AI. CUBIG is building the operational data layer that helps enterprises turn sensitive, fragmented, and unusable data into AI-ready, operable data.

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What is Automated machine learning?

AutoML refers to the process of automating the selection, training, and tuning of machine learning models. It enables users, including those without extensive expertise, to build AI models efficiently by automating tasks like feature selection, hyperparameter tuning, and model evaluation.

← Previous Auto Augmentation Next → Automation

Related Glossaries

  • Object Storage Object storage refers to a scalable data storage architecture that manages data as objects rather than in hierarchical file systems. It is widely used for cloud storage, multimedia content, and unstructured data management due to its flexibility and efficiency.
  • Synthetic Data Synthetic data refers to artificially generated data that mimics real-world data while preserving privacy and security. It is used in AI training, testing environments, and data augmentation to enhance model performance.
  • 5G 5G is the fifth-generation wireless network technology that provides ultra-fast data speeds, low latency, and high connectivity density. It enables innovations in IoT, autonomous vehicles, smart cities, and cloud-based applications by offering improved bandwidth and reliability.
  • Balanced data Balanced data refers to datasets where different classes or categories are represented equally. In machine learning, balanced datasets help prevent biases in model training, ensuring fairer predictions and reducing overfitting.
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CUBIG LTD (United Kingdom)
Company Number: NI735459
21 Arthur Street, Belfast, Antrim, United Kingdom, BT1 4GA

CUBIG CORP (Republic of Korea)
Business Registration: 133-81-45679
E-Commerce Registration: 2023-Seoul-Seocho-2822
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