Anodot

Redwood City, CA, USA
2014
Aug 3, 2021   |  By Anodot
How close can CSPs come to realizing the zero touch network vision, and what are the best next steps for getting there? To discuss this question Anodot brought together a panel of experts, including Kim Larsen, CTIO of T-Mobile Netherlands; Ira Cohen, co-founder of Anodot and the company’s chief data scientist; Fernando Elizalde, analyst at GSMA Intelligence; and moderator Justin Springham.
Aug 3, 2021   |  By Anodot
For many CSPs, increasingly complex networks and immature technological solutions result in a typically long time to the detection and resolution of incidents that impact the customer experience, the brand’s reputation, and the bottom line. With RAN, Mobile and IP core, transport and applications and dozens of other integrated components, the network is one of the most complex areas to monitor.
Aug 2, 2021   |  By Anodot
The global pandemic has changed B2C markets in many ways. In the U.S. market alone in 2020, consumers spent more than $860 billion with online retailers, driving up sales by 44% over the previous year.eCommerce sales are likely to remain high long after the pandemic subsides, as people have grown accustomed to the convenience of ordering online and having their goods – even groceries – delivered to their door.
Jul 26, 2021   |  By Anodot
Gamers are not shy about reaching into their wallets for premium content and features. They also won’t hesitate to tap the uninstall button at the first sign of trouble. It’s not uncommon for a gamer to boot up a hotly anticipated new game or revisit an old favorite only to put it down days or weeks later. The culprit is often gaming monetization issues that get in the way of what would otherwise be a long-term rewarding gaming experience.
Jul 6, 2021   |  By Anodot
Anomalies don’t have to be a fear factor; they could even present an opportunity to make money. Imagine detecting positive spikes in in-app purchases, conversions, or gaming activity in real-time and then having your business monitoring system identify what caused them 10x faster than you can now – autonomously. With 95% accuracy in the root cause analysis you could replicate and capitalize on the deviation immediately.
Jul 4, 2021   |  By Anodot
AI monitoring technologies have the potential to introduce significant cost savings for CSPs. Based on machine learning and fully autonomous, these monitoring solutions provide high ROI by dramatically reducing Time to Detection (TTR), Time to Resolution (TTR), the total number of alerts, and the number of false positives and negatives.
Jul 1, 2021   |  By Anodot
Though invisible to most users, APIs are the backbone of modern web applications. Developers love them because they facilitate complex integrations between systems and services. The business loves them because integrating disparate systems to create new products and services drives innovation and growth. The challenge with this transformative connectivity is the dependencies that exist between systems. API failure can result in performance degradation, data anomalies, or even system-wide outages.
Jun 22, 2021   |  By Anodot
How much is your company losing by reacting to problems after they’ve had a negative impact on your bottom line? How many customers churn in the time it takes you to notice complaints to your call center? Proactive business monitoring allows you to detect incidents before they have a negative impact on your company’s revenue and reputation.
Jun 16, 2021   |  By Anodot
The pandemic upended business for many or at the very least cast a grim shade of uncertainty, so, as many took to working from home, they also were commissioned with cutting waste. Among the biggest sources of misspend in 2020 – cloud services. And remote work may have actually spurred the problem, as organizations migrate more applications to the cloud to support these workers.
Jun 4, 2021   |  By Anodot
Operating in today’s digital economy often involves dealing with an extensive network of third-party providers and partners. Common types of partner networks include affiliates, vendors, suppliers, marketing platforms, and payment gateway providers. Partner networks involve tracking and analyzing data from multiple providers, each of which creates thousands of metrics and billions of events each day.
Jul 14, 2021   |  By Anodot
Chief Data Scientist Ira Cohen has spent years tackling the ins and outs of forecasting business data. Now he's sharing how he and his team at Anodot are using machine learning to generate more accurate forecasts for time series data.
May 4, 2021   |  By Anodot
Anodot’s autonomous network monitoring platform provides the ability to monitor cross-layer network performance and service experience in one platform. We collect all data types, at any scale, and use AI/ML to correlate anomalies across the entire telco stack. Our platform is the "brain" on top of the OSS that detects service-impacting incidents in real time. We help customers like T-Mobile and Megafon protect their revenue and improve service experience - reducing the number of alerts by 90% and shortening Time-to-Resolve incidents by 30%.
Apr 21, 2021   |  By Anodot
Welcome to our first ever customer event- Anodot Connect! During the power hour, we discuss best practices, talk about new features, the product roadmap and everything in between. Tune in to hear how you, our power users, can better make use of the Anodot product.
Mar 7, 2021   |  By Anodot
When you detect that something is off in your business, how long does it take you to find the root cause? The longer it takes, the more it can cost you. Correlation analysis identifies relationships between KPIs, which business teams use to accelerate root cause analysis (RCA) and mean time to remediation (MTTR). Doing it manually however can be tedious and limit your visibility.
Feb 8, 2021   |  By Anodot
Anodot collects AWS real-time usage metrics and AWS CUR files to enable full visibility. Anodot automatically learns each service usage pattern, using patented anomaly detection technology and alert relevant teams to anomalous spikes or drops in real-time. Our patented anomaly detection technology learns the behavior and every service you use - EC2, S3, ELB and the rest, to automatically identify any deviation from the expected usage and cost pattens. Leave alert storms, false positives, and dashboards behind and leverage the power of proactive, autonomous monitoring.
Jan 3, 2021   |  By Anodot
Now there’s an easy way to measure the business impact of every incident. Anodot lets you set a monetary value for each measure you monitor. Once you set the Impact Value, future alerts will show you how much the anomaly has cost you thus far. Anodot is the only monitoring solution built from the ground up to find and fix key business incidents, as they’re happening. As opposed to most monitoring solutions, which focus on machine and system data to track performance, Anodot also monitors the more volatile and less predictable business metrics that directly impact your company’s bottom line.
Dec 8, 2020   |  By Anodot
Time series anomaly detection is a tool that detects unusual behavior, whether it's hurtful or advantageous for the business. In either case, quick outlier detection and outlier analysis can enable you to adjust your course quickly, before you lose customers, revenue, or an opportunity. The first step is knowing what types of outliers you’re up against. Chief Data Scientist Ira Cohen, co-founder of Autonomous Business Monitoring platform Anodot, covers the three main categories of outliers and how you'll see them arise in a business context.
Nov 18, 2020   |  By Anodot
Business metrics are notoriously hard to monitor because of their unique context and volatile nature. Anodot’s Business Monitoring platform uses machine learning to constantly analyze and correlate every business parameter, providing real-time alerts and forecasts in their context. This is machine learning packaged in a turn-key solution – no data science experience needed.
Oct 29, 2020   |  By Anodot
Co-founder and Cheif Data Scientist Dr. Ira Cohen of Anodot will present the challenges in leveraging AI for Autonomous network monitoring. The presentation will review the following topics.
Oct 18, 2020   |  By Anodot
Just 3 easy steps to create an alert on Anodot. Our machine learning-based anomaly detection enables users to simulate alert estimates as you toggle the settings. Choose from multiple business metrics or layer functions on top of your metrics.
May 24, 2019   |  By Anodot
This introduction to next-generation analytics includes a step-by-step comparison between legacy BI and Autonomous Analytics, from data integration to anomaly detection and forecasting.
Mar 1, 2019   |  By Anodot
Learn how different industries are using Machine Learning Powered Analytics.
Mar 1, 2019   |  By Anodot
Learn now anomaly detection can remedy urgent problems faster and capture opportunities sooner.
Feb 1, 2019   |  By Anodot
Immediately address data quality problems and save weeks of dealing with inaccurately reported data.
Feb 1, 2019   |  By Anodot
Learn how leading adtechs like Rubicon Project, Uprise, and NetSeer are leveraging the power of machine learning - discovering outliers in time series data and turning them into valuable business insights.
Jan 1, 2019   |  By Anodot
This white paper presents unique insights into the costs, benefits, and complexities associated with anomaly detection systems, including whether it makes more sense for your company to build or to buy, and which will give the best and fastest return on investment.
Dec 1, 2018   |  By Anodot
An introduction to design principles of creating a machine learning based anomaly detection system.

Anodot applies AI to deliver autonomous analytics in real-time, across all data types, at enterprise scale. Unlike the manual limitations of traditional Business Intelligence, we provide analysts mastery over their business with a self-service AI platform that runs continuously to eliminate blind spots, alert incidents, and investigate root causes.

Autonomous Analytics uses machine learning to understand behavioral patterns within time series data, to identify anomalies and to continuously forecast future values. Our alerts operate in real time and offer you context - correlating each incident to similar anomalies, relevant factors and the potential root cause. Detect and diagnose high-impact problems faster than is humanly possible.

Why Autonomous Analytics?

  • Track Every Business Parameter: Anodot uses its patented technology to learn the normal behavior of all your business metrics and constantly monitor their every move. All without configuring a thing.
  • See The Anomalies That Matter: Not all anomalies are created equal. Anodot scores every business abnormality by degree of deviation so you can prioritize and act based on what’s most important to you.
  • Models Automatically Trained For Accuracy: Our solution uses deep learning to automatically optimize forecasts. It selects a model that’s uniquely suited to your metrics from a library of predictive analytics algorithms. Data feedback is used to train your model for the highest possible accuracy.
  • Continuous Forecasting For Operational Agility: Autonomous Forecast is always running. It works on data streams in real time to provide forecasts in the moment. With these capabilities, businesses can anticipate changing conditions and optimize their operations in advance, to improve customer satisfaction and seize opportunities.

The only alerts you need. Just when you need them.