The hybrid cloud deployment model combines on-premises infrastructure with public and private cloud services.
DATA
Network segmentation divides a larger network into smaller, isolated segments to improve security and reduce the attack surface.
Datastrato is enhancing AI data management by focusing on solutions for both structured and unstructured data.
Supervised learning encompasses diverse approaches for prediction and classification tasks, such as classification and regression.
Semi-supervised learning optimises efficiency by utilising labeled and unlabelled data, particularly beneficial when labeled data is scarce.
Predictive analytics predicts future events, helping organisations make better decisions and improve efficiency.
Predictive analytics uses data to foresee trends, guiding strategic decisions based on past patterns and driving industry transformation.
Sentiment analysis tools, used for interpreting emotions and opinions in text, are vital in marketing, customer service, and social media.
Network anomaly detection identifies atypical patterns or behaviours to maintain security and performance by uncovering threats and issues.
AI anomaly detection identifies data outliers, crucial for uncovering issues like fraud, malfunctions, or security breaches.
Neural networks are adept at identifying complex patterns in large datasets, offering non-linear learning capabilities.
Predictive analytics frequently employs supervised learning, utilising labeled historical data to train algorithms on input-output pairs.
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