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anomaly
ABOUT US | ANODOT
Anodot is an industry leader in Business Monitoring, an AI-driven approach that empowers businesses to safeguard their revenues and costs, digital partners, and audience journey, experience andengagement.
AUTOMATED ANOMALY DETECTION FOR TELECOMMUNICATIONS Written by Anodot. Anodot is the leader in Autonomous Business Monitoring. Data-driven companies use Anodot's machine learning platform to detect business incidents in real time, helping slash time to detection by as much as 80 percent and reduce alert noise by asmuch as 95 percent.
INTRODUCING MLWATCHER A B2C company, for example, may experience an increase in churn because certain input features may be missing, causing the churn predictor to generate errors; an ad campaign could unnecessarily burn through their budget because of an incorrect configuration of a bidding algorithm; or an eCommerce site may experience a sudden decrease in purchases because the new version of a recommendation WHAT IS TIME SERIES DATABASE? Time series data is a sequence of measurements or events collected over a period of time. A time series can also show how a value has changed over time. Evaluating this data type, whether it be graphed or listed, can be challenging because the data sets are typically HOW TO REDUCE FALSE POSITIVES USING MACHINE LEARNING PLATFORM? This particular metric shows the total revenue generated by users from Great Britain using iOS mobile devices. At 4 a.m. on Oct. 18, the value began to dip below the metric’s baseline (the area shaded in blue), which is the range Anodot’s algorithms predict as normal forthis metric.
THE COSTS OF POOR DATA QUALITY Written by Anodot. Anodot is the leader in Autonomous Business Monitoring. Data-driven companies use Anodot's machine learning platform to detect business incidents in real time, helping slash time to detection by as much as 80 percent and reduce alert noise by asmuch as 95 percent.
SMART AXIATA USES ANODOT TO ENSURE SEAMLESS SERVICE Smart Axiata was for years unable to monitor its tens of thousands of KPIs. Troubleshooting often took hours or even days. In this video, CTO Andrey Kuzin and Senior Data Analyst Ming Jin Siew share how Anodot has helped them improve their monitoring capabilities WHAT IS AI/ML AND ARE YOU USING IT RIGHT? The trouble is that if you don’t know what AI/ML is, or what the difference is between AI and ML then you’re that much more likely to be sold a bill of goods when you’re shopping for ENSURE DATA QUALITY WITH AI ANALYTICS Data is a crucial asset for most businesses. But that data is worthless if it is unreliable. While data supports major business initiatives, the level of data accuracy for many organizations isstill low.
ANODOT | ANOMALY DETECTION FOR BUSINESS MONITORINGPRODUCTSOLUTIONSCOMPANYRESOURCESAUTONOMOUS FORECASTINTEGRATIONS Only the alerts you need, when you need them. Leave alert storms, false positives and false negatives behind. Anodot's autonomous anomaly detection learns the normal behavior of every metric to distill billions of data events into the single, scored, spot-onanomaly
ABOUT US | ANODOT
Anodot is an industry leader in Business Monitoring, an AI-driven approach that empowers businesses to safeguard their revenues and costs, digital partners, and audience journey, experience andengagement.
AUTOMATED ANOMALY DETECTION FOR TELECOMMUNICATIONS Written by Anodot. Anodot is the leader in Autonomous Business Monitoring. Data-driven companies use Anodot's machine learning platform to detect business incidents in real time, helping slash time to detection by as much as 80 percent and reduce alert noise by asmuch as 95 percent.
INTRODUCING MLWATCHER A B2C company, for example, may experience an increase in churn because certain input features may be missing, causing the churn predictor to generate errors; an ad campaign could unnecessarily burn through their budget because of an incorrect configuration of a bidding algorithm; or an eCommerce site may experience a sudden decrease in purchases because the new version of a recommendation WHAT IS TIME SERIES DATABASE? Time series data is a sequence of measurements or events collected over a period of time. A time series can also show how a value has changed over time. Evaluating this data type, whether it be graphed or listed, can be challenging because the data sets are typically HOW TO REDUCE FALSE POSITIVES USING MACHINE LEARNING PLATFORM? This particular metric shows the total revenue generated by users from Great Britain using iOS mobile devices. At 4 a.m. on Oct. 18, the value began to dip below the metric’s baseline (the area shaded in blue), which is the range Anodot’s algorithms predict as normal forthis metric.
THE COSTS OF POOR DATA QUALITY Written by Anodot. Anodot is the leader in Autonomous Business Monitoring. Data-driven companies use Anodot's machine learning platform to detect business incidents in real time, helping slash time to detection by as much as 80 percent and reduce alert noise by asmuch as 95 percent.
SMART AXIATA USES ANODOT TO ENSURE SEAMLESS SERVICE Smart Axiata was for years unable to monitor its tens of thousands of KPIs. Troubleshooting often took hours or even days. In this video, CTO Andrey Kuzin and Senior Data Analyst Ming Jin Siew share how Anodot has helped them improve their monitoring capabilities WHAT IS AI/ML AND ARE YOU USING IT RIGHT? The trouble is that if you don’t know what AI/ML is, or what the difference is between AI and ML then you’re that much more likely to be sold a bill of goods when you’re shopping for ENSURE DATA QUALITY WITH AI ANALYTICS Data is a crucial asset for most businesses. But that data is worthless if it is unreliable. While data supports major business initiatives, the level of data accuracy for many organizations isstill low.
ABOUT US | ANODOT
Anodot is an industry leader in Business Monitoring, an AI-driven approach that empowers businesses to safeguard their revenues and costs, digital partners, and audience journey, experience andengagement.
HOW TO REDUCE FALSE POSITIVES USING MACHINE LEARNING PLATFORM? This particular metric shows the total revenue generated by users from Great Britain using iOS mobile devices. At 4 a.m. on Oct. 18, the value began to dip below the metric’s baseline (the area shaded in blue), which is the range Anodot’s algorithms predict as normal forthis metric.
OSS TELECOM NETWORK MONITORING Telco infrastructure is a complex heterogeneous network. In order to optimize operations, ensure availability and reliability and deliver more business value, Telcos need to CLOUD COST MONITORING USING AI AND MACHINE LEARNING Aside from ensuring each service is working properly, one of the most challenging parts of managing a cloud-based infrastructure is cost monitoring.There are countless services to keep track of—including storage, databases, and computation—each with their own complexpricing structure.
CORRELATION ANALYSIS: THE NEXT STEP FOR ANOMALY DETECTION And for a bit of humor, check out Tyler Vigzen’s project documenting a variety of spurious correlations.. This article is the first in a series on correlation analysis, including the different flavors and applicability to different data types. CONSUMER BROADBAND TAKES CENTER STAGE Autonomous monitoring solutions help consumer broadband operators maintain network availability, prevent and mitigate outages and service degradation, and improve the customer experience. ANOMALY DETECTION RFP TEMPLATE Evaluating a new, unknown technology is a complicated task. Although you can articulate the goals you’re trying to achieve, you’re probably faced with multiple solutions that approach the problem in different ways and highlight varying features. WHAT IS AI/ML AND ARE YOU USING IT RIGHT? The trouble is that if you don’t know what AI/ML is, or what the difference is between AI and ML then you’re that much more likely to be sold a bill of goods when you’re shopping for SHORTCOMINGS OF TRADITIONAL BI TOOLS Business Intelligence (BI) tools have taken the business world by storm. According to new research, companies that adopt advanced visualization, dashboards, and reporting tools are proven to experience a 26 percent increase in sales.. However, many companies aren’t bringing in those dashboards because they actually use them, but rather they’re aiming for the false reassurance that they AI ANALYTICS WILL REPLACE BUSINESS KPI DASHBOARDS…STARTING Business KPI dashboards don’t provide actionable insights now . Business data analysts are in dashboard hell right now.They have to interpret data from so many different sources and then try to figure out what is the best action to take, with the most important decisions being made based on this information. ANODOT | ANOMALY DETECTION FOR BUSINESS MONITORINGPRODUCTSOLUTIONSCOMPANYRESOURCESAUTONOMOUS FORECASTINTEGRATIONS Fastest incident detection and correlation. Detect anomalies across the business 15X faster. Cut incident-related costs by 70%. Anodot’s patented inference engine lets you know what is happening, where and why as soon as possible, for lightning-fast resolution. Learn More. OSS TELECOM NETWORK MONITORING Monitor network performance in context with AI. Anodot uses a patented ML approach to monitor 100% of your data, learn every metrics’ behavior, and provide spot-on alerts critical failures. Anodot helps telcos to optimize service levels and maximize profitability by ensuring customer loyalty and maintaining overall network performance. INTRODUCTION TO TIME SERIES METRICS Source: Machine Learning Mastery. Time Series Metrics for Time Series Databases. One common application of time series metrics is for monitoring systems and time series databases (discussed further below). For example, Prometheus is an open-source time series database which offers four core metric types including: Running counter: this is a cumulative metric that represents a single WHAT IS TIME SERIES DATABASE? A time series database consists of state change information that is indexed by time. It usually consists of a subject, the point in time and the measurements. When writing time series data, high throughput is critical for the database requiring it to be continuous and concurrent. This is important because writes make up roughly 95% ofdatabase
INTRODUCING MLWATCHER MLWatcher collects and monitors metrics from machine learning models in production. This open source Python agent is free to use, simply connect to your BI service to visualize the results. To detect anomalies in these metrics, either set rule-based alerting, or sync to an ML anomaly detection solution, such as Anodot, to execute at scale. 5G KUBERNETES IS THE NEXT STEP FOR TELCOS 5G networks rely on Kubernetes and cloud native computing, but the transition depends on the confidence telcos can build towards these new technologies by creating the monitoring environment that provides the transparency needed to seamlessly identify and mitigate issues assoon as possible.
THE COSTS OF POOR DATA QUALITY Erroneous decisions made from bad data are not only inconvenient but also extremely costly. According to Gartner research, “the average financial impact of poor data quality on organizations is $9.7 million per year.”. IBM also discovered that in the US alone, businesses lose $3.1 trillion annually due to ENSURE DATA QUALITY WITH AI ANALYTICS Since at the end of the day everything is data, a smarter way to approach data quality problems is through AI analytics, leveraging anomaly detection. Anomaly detection flags “bad” data, identifying suspicious anomalies, that can impact data quality. By tracking and evaluating data, anomaly detection gives critical insights into data THE FUTURE OF NETWORK MONITORING As Ira Cohen explains, the short answer is yes. The challenges in network monitoring that T-Mobile and other telcos face are well suited for machine learning. “The biggest reason is the notion of scale,” Cohen said. “With tens of thousands of devices each outputting sensor data, as well as monitoring other types of data such asservices
OUTLIER DETECTION DRAMATICALLY IMPACTS BUSINESS Whether they indicate a substantial business problem or an opportunity for performance and revenue optimization, detecting outliers is mission critical for companies of all sizes. In scouring time series data, knowing how to detect outliers is an important task that cannot be overlooked. Looking for unusual data points by manually examining ANODOT | ANOMALY DETECTION FOR BUSINESS MONITORINGPRODUCTSOLUTIONSCOMPANYRESOURCESAUTONOMOUS FORECASTINTEGRATIONS Fastest incident detection and correlation. Detect anomalies across the business 15X faster. Cut incident-related costs by 70%. Anodot’s patented inference engine lets you know what is happening, where and why as soon as possible, for lightning-fast resolution. Learn More. OSS TELECOM NETWORK MONITORING Monitor network performance in context with AI. Anodot uses a patented ML approach to monitor 100% of your data, learn every metrics’ behavior, and provide spot-on alerts critical failures. Anodot helps telcos to optimize service levels and maximize profitability by ensuring customer loyalty and maintaining overall network performance. INTRODUCTION TO TIME SERIES METRICS Source: Machine Learning Mastery. Time Series Metrics for Time Series Databases. One common application of time series metrics is for monitoring systems and time series databases (discussed further below). For example, Prometheus is an open-source time series database which offers four core metric types including: Running counter: this is a cumulative metric that represents a single WHAT IS TIME SERIES DATABASE? A time series database consists of state change information that is indexed by time. It usually consists of a subject, the point in time and the measurements. When writing time series data, high throughput is critical for the database requiring it to be continuous and concurrent. This is important because writes make up roughly 95% ofdatabase
INTRODUCING MLWATCHER MLWatcher collects and monitors metrics from machine learning models in production. This open source Python agent is free to use, simply connect to your BI service to visualize the results. To detect anomalies in these metrics, either set rule-based alerting, or sync to an ML anomaly detection solution, such as Anodot, to execute at scale. 5G KUBERNETES IS THE NEXT STEP FOR TELCOS 5G networks rely on Kubernetes and cloud native computing, but the transition depends on the confidence telcos can build towards these new technologies by creating the monitoring environment that provides the transparency needed to seamlessly identify and mitigate issues assoon as possible.
THE COSTS OF POOR DATA QUALITY Erroneous decisions made from bad data are not only inconvenient but also extremely costly. According to Gartner research, “the average financial impact of poor data quality on organizations is $9.7 million per year.”. IBM also discovered that in the US alone, businesses lose $3.1 trillion annually due to ENSURE DATA QUALITY WITH AI ANALYTICS Since at the end of the day everything is data, a smarter way to approach data quality problems is through AI analytics, leveraging anomaly detection. Anomaly detection flags “bad” data, identifying suspicious anomalies, that can impact data quality. By tracking and evaluating data, anomaly detection gives critical insights into data THE FUTURE OF NETWORK MONITORING As Ira Cohen explains, the short answer is yes. The challenges in network monitoring that T-Mobile and other telcos face are well suited for machine learning. “The biggest reason is the notion of scale,” Cohen said. “With tens of thousands of devices each outputting sensor data, as well as monitoring other types of data such asservices
OUTLIER DETECTION DRAMATICALLY IMPACTS BUSINESS Whether they indicate a substantial business problem or an opportunity for performance and revenue optimization, detecting outliers is mission critical for companies of all sizes. In scouring time series data, knowing how to detect outliers is an important task that cannot be overlooked. Looking for unusual data points by manually examining REAL-TIME TRADING PLATFORM MONITORING Monitor 100% of your trading data in real-time with Anodot. Gain granular visibility into your positions and improve your cash management, order execution, clearing and settlement and riskdecision-making.
REAL-TIME PAYMENT MONITORING SYSTEM The company’s revenue stream is a top KPI, and must be monitored constantly. Companies rely on endpoint APIs to execute payments and must ensure the reliability and consistency of payments across multiple payment entities, networks, geographies and devices. ZERO TOUCH NETWORK MONITORING CSPs use Anodot as the “Brain” on top of their network to help build resilience. Anodot’s platform uses self-learning at scale to constantly monitor and correlate network and service anomalies across the entire telco stack, providing actionable alerts in their context, improving Time to Detect and Time to Resolve incidents by 30% -50%.CONTACT US | ANODOT
Autonomous Business Monitoring Monitor and forecast your business performance. Anodot’s Deep 360® monitoring technology constantly analyzes the patterns and correlations of all your metrics to provide fast, accurate, and meaningful alerts. THE PERFECT CUSTOMER EXPERIENCE MONITORING Many companies also pair these with user experience analytics tools such as Fullstory, Hotjar and Pingdom, to get a fuller understanding. A few of the most common customer experience metrics that companies track include: Net promoter score (NPS): NPS is a short survey that measures how likely someone is to recommend the product or service. INTRODUCING MLWATCHER MLWatcher collects and monitors metrics from machine learning models in production. This open source Python agent is free to use, simply connect to your BI service to visualize the results. To detect anomalies in these metrics, either set rule-based alerting, or sync to an ML anomaly detection solution, such as Anodot, to execute at scale. HOW TO REDUCE FALSE POSITIVES USING MACHINE LEARNING PLATFORM? This particular metric shows the total revenue generated by users from Great Britain using iOS mobile devices. At 4 a.m. on Oct. 18, the value began to dip below the metric’s baseline (the area shaded in blue), which is the range Anodot’s algorithms predict as normal forthis metric.
CLOUD COST MONITORING USING AI AND MACHINE LEARNING Cost monitoring: Instead of just providing generic cloud costs, one of the main advantages of AI-based monitoring is that costs are specific to the service, region, team, and instance type. When anomalies do occur, this level of granularity allows for a much faster time-to-resolution. Usage monitoring: The next layer consists ofmonitoring
CORRELATION ANALYSIS FOR TELECOM MONITORING Written by @InterpretableAI & @IraIraCohen. In the first and second part of the blog series, we discussed the importance of correlation analysis in root cause analysis in general and in the context of promotional marketing. In a similar vein, in this blog we walk through how to leverage correlation analysis to address challenges in the telecom space.. The data deluge experienced in the telecom WHAT IS PROACTIVE ANALYTICS? Proactive analytics is an IT term that refers to taking an active approach to active business monitoring in order to prevent incidents from escalating. This involves monitoring 100% of an organization’s data in real time, autonomously adjusting thresholds for and sending automatic alerts as early as possible so you can resolve problemsbefore
ANODOT | ANOMALY DETECTION FOR BUSINESS MONITORINGPRODUCTSOLUTIONSCOMPANYRESOURCESAUTONOMOUS FORECASTINTEGRATIONS Fastest incident detection and correlation. Detect anomalies across the business 15X faster. Cut incident-related costs by 70%. Anodot’s patented inference engine lets you know what is happening, where and why as soon as possible, for lightning-fast resolution. Learn More.ABOUT US | ANODOT
Anodot is an industry leader in Business Monitoring, an AI-driven approach that empowers businesses to safeguard their revenues and costs, digital partners, and audience journey, experience and engagement. By leveraging AI to constantly monitor and correlate business performance, Anodot identifies revenue-critical issues,providing real-time
THE ROUTE TO AUTOMATED REMEDIATION Step 4: Event Correlation. This is one of the steps that connects the detection to the remediation. Correlating anomalies to the events that influence them is a must for root cause analysis. This process identifies relationships between metrics and the events that impact how they behave, for example, connecting site down-time tomaintenance, or
CLOUD COST MONITORING USING AI AND MACHINE LEARNING Cost monitoring: Instead of just providing generic cloud costs, one of the main advantages of AI-based monitoring is that costs are specific to the service, region, team, and instance type. When anomalies do occur, this level of granularity allows for a much faster time-to-resolution. Usage monitoring: The next layer consists ofmonitoring
THE COSTS OF POOR DATA QUALITY Erroneous decisions made from bad data are not only inconvenient but also extremely costly. According to Gartner research, “the average financial impact of poor data quality on organizations is $9.7 million per year.”. IBM also discovered that in the US alone, businesses lose $3.1 trillion annually due to WHAT IS TIME SERIES DATABASE? A time series database consists of state change information that is indexed by time. It usually consists of a subject, the point in time and the measurements. When writing time series data, high throughput is critical for the database requiring it to be continuous and concurrent. This is important because writes make up roughly 95% ofdatabase
SMART AXIATA USES ANODOT TO ENSURE SEAMLESS SERVICE Smart Axiata was for years unable to monitor its tens of thousands of KPIs. Troubleshooting often took hours or even days. In this video, CTO Andrey Kuzin and Senior Data Analyst Ming Jin Siew share how Anodot has helped them improve their monitoring capabilities UNKNOWN UNKNOWNS ARE BIG OPPORTUNITIES Written by Anodot. Anodot is the leader in Autonomous Business Monitoring. Data-driven companies use Anodot's machine learning platform to detect business incidents in real time, helping slash time to detection by as much as 80 percent and reduce alert noise by asmuch as 95 percent.
ULTIMATE GUIDE TO BUILDING A MACHINE LEARNING ANOMALY The Definitive Guide For Building An Anomaly Detection System. An introduction to design principles of creating a machine learning based anomaly detection system. MIGRATING ANGULARJS TO ANGULAR WITHOUT LOSING YOUR HEAD Using angular-ui-router, we simply set React components under a “react” URL root, like so: Our reactCtrl used ng-react to set the React root: Then we set the Angular router to render an Angular controller, which later would render a React component using ng-react. The React router could take control of everything that comes after a“react
ANODOT | ANOMALY DETECTION FOR BUSINESS MONITORINGPRODUCTSOLUTIONSCOMPANYRESOURCESAUTONOMOUS FORECASTINTEGRATIONS Fastest incident detection and correlation. Detect anomalies across the business 15X faster. Cut incident-related costs by 70%. Anodot’s patented inference engine lets you know what is happening, where and why as soon as possible, for lightning-fast resolution. Learn More.ABOUT US | ANODOT
Anodot is an industry leader in Business Monitoring, an AI-driven approach that empowers businesses to safeguard their revenues and costs, digital partners, and audience journey, experience and engagement. By leveraging AI to constantly monitor and correlate business performance, Anodot identifies revenue-critical issues,providing real-time
THE ROUTE TO AUTOMATED REMEDIATION Step 4: Event Correlation. This is one of the steps that connects the detection to the remediation. Correlating anomalies to the events that influence them is a must for root cause analysis. This process identifies relationships between metrics and the events that impact how they behave, for example, connecting site down-time tomaintenance, or
CLOUD COST MONITORING USING AI AND MACHINE LEARNING Cost monitoring: Instead of just providing generic cloud costs, one of the main advantages of AI-based monitoring is that costs are specific to the service, region, team, and instance type. When anomalies do occur, this level of granularity allows for a much faster time-to-resolution. Usage monitoring: The next layer consists ofmonitoring
THE COSTS OF POOR DATA QUALITY Erroneous decisions made from bad data are not only inconvenient but also extremely costly. According to Gartner research, “the average financial impact of poor data quality on organizations is $9.7 million per year.”. IBM also discovered that in the US alone, businesses lose $3.1 trillion annually due to WHAT IS TIME SERIES DATABASE? A time series database consists of state change information that is indexed by time. It usually consists of a subject, the point in time and the measurements. When writing time series data, high throughput is critical for the database requiring it to be continuous and concurrent. This is important because writes make up roughly 95% ofdatabase
SMART AXIATA USES ANODOT TO ENSURE SEAMLESS SERVICE Smart Axiata was for years unable to monitor its tens of thousands of KPIs. Troubleshooting often took hours or even days. In this video, CTO Andrey Kuzin and Senior Data Analyst Ming Jin Siew share how Anodot has helped them improve their monitoring capabilities UNKNOWN UNKNOWNS ARE BIG OPPORTUNITIES Written by Anodot. Anodot is the leader in Autonomous Business Monitoring. Data-driven companies use Anodot's machine learning platform to detect business incidents in real time, helping slash time to detection by as much as 80 percent and reduce alert noise by asmuch as 95 percent.
ULTIMATE GUIDE TO BUILDING A MACHINE LEARNING ANOMALY The Definitive Guide For Building An Anomaly Detection System. An introduction to design principles of creating a machine learning based anomaly detection system. MIGRATING ANGULARJS TO ANGULAR WITHOUT LOSING YOUR HEAD Using angular-ui-router, we simply set React components under a “react” URL root, like so: Our reactCtrl used ng-react to set the React root: Then we set the Angular router to render an Angular controller, which later would render a React component using ng-react. The React router could take control of everything that comes after a“react
REAL-TIME TRADING PLATFORM MONITORING Monitor 100% of your trading data in real-time with Anodot. Gain granular visibility into your positions and improve your cash management, order execution, clearing and settlement and riskdecision-making.
REAL-TIME PAYMENT MONITORING SYSTEM The company’s revenue stream is a top KPI, and must be monitored constantly. Companies rely on endpoint APIs to execute payments and must ensure the reliability and consistency of payments across multiple payment entities, networks, geographies and devices. ZERO TOUCH NETWORK MONITORING CSPs use Anodot as the “Brain” on top of their network to help build resilience. Anodot’s platform uses self-learning at scale to constantly monitor and correlate network and service anomalies across the entire telco stack, providing actionable alerts in their context, improving Time to Detect and Time to Resolve incidents by 30% -50%. TELCO ANALYTICS FOR TELECOM COMPANIES Manual analytics only increase the time to detect. Anodot easily integrates all your data sources in one centralized platform, breaking down silos to identify incidents affecting revenue streams. Our patented correlation engine clearly maps out related metrics andevents
OSS TELECOM NETWORK MONITORING Monitor network performance in context with AI. Anodot uses a patented ML approach to monitor 100% of your data, learn every metrics’ behavior, and provide spot-on alerts critical failures. Anodot helps telcos to optimize service levels and maximize profitability by ensuring customer loyalty and maintaining overall network performance. INTRODUCTION TO TIME SERIES METRICS Source: Machine Learning Mastery. Time Series Metrics for Time Series Databases. One common application of time series metrics is for monitoring systems and time series databases (discussed further below). For example, Prometheus is an open-source time series database which offers four core metric types including: Running counter: this is a cumulative metric that represents a single USING AI FOR BUSINESS FORECASTING AI For Business Forecasting. Regardless of your industry, the countless metrics and KPIs at your disposal is currency you can use to purchase more accurate business forecasting. Machine learning is autonomously powering these forecasts, because of its superior abilities to be accurate, scale, adapt to fluctuating behavior anddeliver results in
ENSURE DATA QUALITY WITH AI ANALYTICS Since at the end of the day everything is data, a smarter way to approach data quality problems is through AI analytics, leveraging anomaly detection. Anomaly detection flags “bad” data, identifying suspicious anomalies, that can impact data quality. By tracking and evaluating data, anomaly detection gives critical insights into data CONSUMER BROADBAND TAKES CENTER STAGE Autonomous monitoring solutions help consumer broadband operators maintain network availability, prevent and mitigate outages and service degradation, and improve the customer experience. WHAT IS AI ANALYTICS? AI analytics refers to a subset of business intelligence that uses machine learning techniques to discover insights, find new patterns and discover relationships in the data. In practice, AI analytics is the process of automating much of the work that a data analyst would normally perform. While the goal is certainly not to replace analysts,AI
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MONITORING THAT UNDERSTANDS BUSINESS Monitors all your data. Fully autonomous. Detects first.Talk To Us
WHAT WE DO
CUSTOMER EXPERIENCE MONITORING Find and fix incidents before they impact your users to drive improved conversions, customer experience, retention and revenuesView Solutions
TELCO NETWORK MONITORING Keep tabs on billions of daily events across all network types and layers to identify service and network degradations in real-time.View Solutions
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Protect your revenue by monitoring all your revenue streams to surface potential issues and opportunities in real-timeView Solutions
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Anodot is an advanced AI platform, built from the ground up to monitor, analyze and correlate 100% of company data in real-time, dramatically enhancing the performance and reliability of yourbusiness.
FASTEST INCIDENT DETECTION AND CORRELATION Detect anomalies across the business 15X faster. Cut incident-related costs by 70%. Anodot’s patented inference engine lets you know what is happening, where and why as soon as possible, for lightning-fastresolution.
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ONLY THE ALERTS YOU NEED, WHEN YOU NEED THEM Leave alert storms, false positives and false negatives behind. Anodot's autonomous anomaly detection learns the normal behavior of every metric to distill billions of data events into the single, scored, spot-on anomaly alerts that you need to know about right now.Learn More
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FULLY AUTONOMOUS MONITORING There’s no need to define what data to look for or when, no manual thresholds to set up or update. Anodot’s patented machine learning creates a next-generation, hands-off analytics experience for all users across the business.Learn More
OUR PATENTS
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CORRELATION TECHNOLOGYUS20160210556A1
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BLOG POST 6 min read Don't Treat Your Business Metrics Like Other Metrics Why? Because monitoring machines and monitoring business KPIs are completely different tasks.Read more
BLOG POST 5 min read Atlassian: Anodot is our ‘Safety Net’ Atlassian, the software company behind Jira and Trello, credits Anodot with keeping their employees in touch with product performance and customer experience.Read more
BLOG POST 5 min read The 5 Whys: Why Use Monitoring at All? The market shift in the monitoring space is happening quickly. A top-down data approach and auto-remediation with AI is what will help companies stay ahead in this ever-changing industry.Read more
BLOG POST 6 min read Don't Treat Your Business Metrics Like Other Metrics Why? Because monitoring machines and monitoring business KPIs are completely different tasks.Read more
BLOG POST 5 min read Atlassian: Anodot is our ‘Safety Net’ Atlassian, the software company behind Jira and Trello, credits Anodot with keeping their employees in touch with product performance and customer experience.Read more
BLOG POST 5 min read The 5 Whys: Why Use Monitoring at All? The market shift in the monitoring space is happening quickly. A top-down data approach and auto-remediation with AI is what will help companies stay ahead in this ever-changing industry.Read more
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