Anomaly Detection

Anomaly detection on time series data with robust deep autoencoders

Anomaly detection of time series can be solved in multiple ways. One of the methods is using deep learning-based autoencoder models utilizing encoder-decoder architecture. Before we deep-dive into the methodology in detail, here we are discussing the high-level flow of anomaly detection of time series using autoencoder models Pre-process the data to create an input …

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How Anomaly Detection for Call Center Operations will improve Customer Experience

It’s a Friday evening and ABC Corporation call center is running on a lean roster. Friday evenings are generally a good time as the call velocity is less and types of inquiries coming in are basic that even the roster is planned in a such a way that your best resources are not in action. …

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How to stay alert on top of your anomaly data

Advancements in big data and machine learning has increased the efficiencies of analytics driven organisations. Companies that have adopted the culture of data driven decision making have clearly outperformed their competitors. The next step in this AI & ML evolution is to use automated anomaly detection to identify instances that are unusual, appreciate the true …

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Questions to ask while implementing Anomaly detection system

A.I. based automated Anomaly detection system is gaining popularity nowadays due to the increase in data generated from various devices and the increase in ever evolving sophisticated threats from hackers etc. Anomaly detection systems can be applied across various business scenarios like monitoring financial transactions of a fintech company, highlighting fraudulent activities in a network, …

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