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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.

Anomaly Detection
Anomaly detection is the process of identifying patterns in data that deviate significantly from the norm. It leverages machine learning and statistical techniques to detect unusual behavior, making it essential for applications such as fraud detection, cybersecurity, manufacturing quality control, and healthcare analytics. The two primary approaches to anomaly detection are supervised learning (using labeled data) and unsupervised learning (detecting anomalies without predefined labels). AI-powered anomaly detection is particularly effective for processing large-scale, real-time data, ensuring data integrity, security, and operational efficiency.
AI software
AI software encompasses applications and tools that utilize artificial intelligence to perform tasks typically requiring human intelligence. This includes machine learning platforms, automation tools, and cognitive computing solutions that enable data analysis, pattern recognition, and decision-making.
Generative model
A generative model is a type of machine learning algorithm that learns from data distributions to create new, realistic samples. Examples include GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders), which generate images, text, and videos for applications like AI art, deepfake technology, and content generation.

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