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Anodot White Papers Page 3

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Documents 1 min read

An Introduction to Revenue Monitoring

Learn why revenue monitoring is different to other types of monitoring, such as IT and App Performance. Only AI-based real-time revenue monitoring can ensure watertight revenue protection for your business.
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Documents 1 min read

Introduction to Business Monitoring

Business monitoring is machine learning-based analytics built to bulletproof your revenue, remedy urgent problems faster, and capitalize on opportunities sooner.
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Top Barriers to Successful AI Implementation in Telecom

Autonomous network monitoring is within reach. These are the challenges telecom service providers should avoid for faster time to value.
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WHITE PAPER: Why Every Data Leader Needs ETL Monitoring

Duplicated files. Missing data. Learn how anomaly detection can save your ITOps teams embarrassing setbacks.
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WHITE PAPER: The Essential Guide to Time Series Forecasting, Part II - Design Principles

Learn the key components and processes of automated forecasting, as well as business use cases, in this 3-part series on time series forecasting.
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WHITE PAPER: The Essential Guide to Time Series Forecasting, Part III - System Architecture

Learn the key components and processes of automated forecasting, as well as business use cases, in this 3-part series on time series forecasting.
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business analytics in 2020
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The Modern Analytics Stack

A brief overview of the components of today's AI-driven analytics stack, and how they compare to their traditional counterparts. This white paper also surveys the leading solutions for each component.
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WHITE PAPER: The Essential Guide to Time Series Forecasting, Part I - The Value

Learn the key components and processes of automated forecasting, as well as business use cases, in this 3-part series on time series forecasting.
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Andot Hosts AI Talk At CDAO Exchange 2019
Documents 1 min read

WHITE PAPER: Detecting the Business Incidents that Matter with Anomaly Detection

Kickstart your business monitoring - see how machine learning anomaly detection can provide your team with the kind of spot-on, real-time alerts that prevent costly incidents and protect revenue.
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