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What is Data Storage?

Data storage refers to the methods and technologies used to store digital information, including on-premises servers, cloud storage, and distributed file systems. It includes structured storage (databases), unstructured storage (object storage), and hybrid storage solutions. Efficient data storage strategies consider factors like scalability, security, redundancy, and access speed to meet the needs of modern businesses and AI applications.

No Code Machine Learning
No Code Machine Learning refers to platforms and tools that allow users to build and deploy AI models without requiring programming knowledge. These tools democratize AI by enabling business users, analysts, and researchers to train models using intuitive interfaces, pre-built algorithms, and automated workflows.
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.
Multiway data analysis
Multiway data analysis is a statistical approach that examines datasets with multiple dimensions or factors, allowing for more complex pattern recognition. It is widely used in fields such as neuroscience, chemometrics, and market research to extract insights from multidimensional data structures.