Machine learning for anomaly detection In data mining, anomaly detection is referred to the identification of items or events that do not conform to an expected pattern or to other items present in a dataset. Typically, these anomalous items have the potential of getting translated into some kind of problems such as structural defects, errors or frauds. Using machine learning for anomaly detection helps in enhancing the speed of detection.

Intrusions are those activities that can damage information systems. Intrusion detection has been gaining broad attention.  Anomaly detection can be a key for solving intrusions, as while detecting anomalies, perturbations…

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3 best practices in building deep learning models Deep learning, also referred to as hierarchical learning, is a branch of machine learning. Building Deep Learning models involve designing a particular set of algorithms, which attempt to model high-level abstractions in data.

In the financial services industry, usage of Deep Learning models is becoming popular as they facilitate more accurate predictive analytics, which has helped in improving forecasting, recommendations, and risk analysis….

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Taking insurance to next level with machine learning Machine learning refers to a set of algorithms that use real-time or historical data for predicting current or future outcomes. Use of machine learning in insurance use cases helps in achieving three main objectives: improving compliance, cost structures and competitiveness.

What does machine learning in insurance industry do? Machine learning algorithms and technologies help insurance industries in reviewing, analyzing and assessing information in pictures, videos and voice conversations.  These systems…

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Potential of blockchain technology in payment solutions Blockchain technology in payment solutions have the ability to offer significant advantages in terms of providing enhanced functional capabilities as compared to existing bulk payment systems.

Implementing blockchain technology in payment solutions involves a consensus mechanism, which consists of techniques that ensure participants processing transactions agree on which transactions are valid. Blockchain technology has the ability…

FintechTechnology
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