Anodot

2014
Redwood City, CA, USA
Aug 4, 2019   |  By Anodot
In our recent webinar on what it takes to build time series anomaly detection, industry experts Arun Kejariwal, Ira Cohen and Ben Lorica shared valuable advice for ways to successfully implement and execute anomaly detection systems in today’s increasingly complex corporate world.
Aug 4, 2019   |  By Anodot
There’s never a dull moment in the world of anomaly detection. These are the glitches that the world’s largest organizations battled in the month of July.
Jul 28, 2019   |  By Shay Lang
A recent report by Gartner casts light into the world of AIOps, and the need for deploying it in organizations today. AIOps is a modern approach to DevOps which is based on recent AI technology. Gartner’s vision of the AIOps platform is one that enables continuous insights across IT operations management.
Jul 11, 2019   |  By Yuval Dror
If you happen to be running multiple clusters, each with a large number of services, you’ll find that it’s rather impractical to use static alerts, such as “number of pods < X” or “ingress requests > Y”, or to simply measure the number of HTTP errors. Values fluctuate for every region, data center, cluster, etc. It’s difficult to manually adjust alerts and, when not done properly, you either get way too many false-positives or you could miss a key event.
Jul 11, 2019   |  By Ira Cohen
There used to be a distinct, technical separation between terms such as AI and machine learning (ML) – but only while these technologies remained largely theoretical. As soon as they became practical in the real world, and then commodifiable into products, the marketers stepped in. Widespread overuse of the terms AI/ML in marketing have managed to thoroughly confuse the meanings of these words.
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.
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
Anodot is a proactive way to run your IT Operations. Used by the world’s leading data-driven companies. How? Using AI. Our Autonomous Analytics platform continuously scans 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.
May 20, 2019   |  By Anodot
Arun Kejariwal and Ira Cohen, both thought leaders in the deep learning space, share a novel two-step approach for building more reliable prediction models by integrating anomalies in them. They then walk you through marrying correlation analysis with anomaly detection, discuss how the topics are intertwined, and detail the challenges you may encounter based on production data. Present at the 2019 O'Reilly Artificial Intelligence Conference.