anomaly

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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Manage network ops and increase revenue with Anomaly Detection – Part 1

As any operator can attest, successfully managing a business, in the telecom landscape, entails managing the inherent sub-divisions well, such as revenue generation, cost optimisation, customer experience, and operational efficiency etc. By arranging and integrating each individual piece of the puzzle perfectly, we can achieve a desired business outcome, which is all part of the

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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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How to use anomaly detection to balance your distribution budget

Cost driver: One of the key drivers of cost for ecommerce businesses is the last mile delivery charges. Consumers have the option to switch between e-retailers depending on their willingness to pay delivery charges, which is generally significantly low. This notion puts the power into the hands of the customer. Delivery charges, when added just

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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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The Mother of Dragons always had a dark side in Game of Thrones. But the anomaly went unnoticed.

People’s favorite 19.3 million viewers! Yes, with that number, the final episode of Game of Thrones turned out to be the most watched episode of any HBO show ever, and the Internet cannot stop talking about it! Fans of the show have had visibly negative opinion about the last season, for the way things progressed,

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5 reasons why anomaly detection is important for your ecommerce business

Anomaly detection is about identifying outliers in a time series data using mathematical models, correlating it various influencing factors and delivering insights to business decision makers. Using anomaly detection across multiple variables and automatically correlating it among them has significant potential to increase sales and margins for a typical ecommerce business. Advances in artificial intelligence,

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