Redwood City, CA, USA
Oct 31, 2019 | By Vikram Pulakhandam
The telecom industry has always seemed to navigate well through tech changes. As the industry has evolved, it’s managed to transform from landline to mobile carriers, then from voice calls to messaging and data-centric networks. In many developed markets telcos are creating ecosystems for the data-driven economy. The next frontier is shaping up to be one driven by machine learning (ML) and artificial intelligence (AI).
Oct 15, 2019 | By Amit Levi
In any platform of sufficient complexity, multiple anomalies are likely to occur. For many organizations, NOC operators triage multiple anomalies based on their severity. There are internal, non-customer-facing issues that might affect only a small part of your workforce and one-time issues that affect only a small number of customers. Both of the issues get ticketed and sent to low-level support.
Oct 13, 2019 | By Anodot
Let’s start with simple definitions. Time series data is largely what it sounds like – a stream of numerical data representing events that happen in sequence. One can analyze this data for any number of use cases, but here we will be focusing on two: forecasting and anomaly detection. First, you can use time series data to extrapolate the future.
Oct 7, 2019 | By Amit Levi
Many companies today try to feed business metrics into APM or IT monitoring systems. Splunk, Datadog and others track your business in real time, based on log or application data – something that would seem to make sense. In practice, however, it fails to produce accurate and effective monitoring or reduce time to detection of revenue-impactful issues. Why? Because monitoring machines and monitoring business KPIs are completely different tasks.
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.
Oct 10, 2019 | By Anodot
Natural Intelligence runs comparison websites that generate millions in ad traffic. A glitch could easily cost the company thousands in ad revenue. VP R&D Lior Schachter shares the difference Anodot’s real-time analytics, with machine learning anomaly detection, has made across the company.
Aug 26, 2019 | By Anodot
When it came to anomaly detection, telco giant Optus says the answer was simple. They chose to go with Anodot’s turn-key solution rather than build it themselves.
Aug 8, 2019 | By Anodot
In performance marketing, KPIs are directly proportional to revenue. Avantis is a performance marketing company that, prior to Anodot, had used a variety of in-house monitoring solutions and SAS tools to monitor the KPIs that drove their business. But they found their top metrics, such as impressions, clicks, click-through rate (CTR) and postbacks, were often much different than their publishers’.
Jun 10, 2019 | By Anodot
Anodot is a proactive way to run your IT Operations, used by the world’s leading data-driven companies. Our Autonomous Analytics platform uses AI to continuously scan all ETL metadata to monitor changes in behavior. Billions of events are filtered into just the alerts you need.
May 29, 2019 | By Anodot
Personalization is key to eCommerce today. But with all the app permutations, how do you maintain great service for every customer? For every experience? Anodot is a proactive way to run your eCommerce business, used by the world’s leading data-driven companies. See how our patented AI/ML analytics platform gives you just the alerts you need, cutting time to detection and time to resolution, and saving you from costly incidents.