Anodot

2014
Redwood City, CA, USA
Jan 6, 2020   |  By Ira Cohen
An emerging field of data science uses time series metrics to develop an educated estimate of future developments in business such as revenue, sales, and demand for resources and product deliverables. A forecast is based on historical data of a given metric plus other relevant factors. Accurate forecasts are an important aspect of corporate planning.
Jan 2, 2020   |  By Debbie Meron
As a company known for our anomaly detection, we know a thing or two about spotting irregularities. So as we reached the end of 2019, we couldn’t help but think back on the 2010s and the anomalies that shook the world. Once we got to listing them, it really became tough to pick just 10. Ultimately, after much debate, we ranked them based on their impact, newsworthiness and how utterly unexpected they were.
Jan 1, 2020   |  By Anodot
The busiest shopping season of the year was chock full of glitches, aggravating harried shoppers and business owners alike. Did your X-mas gifts get diverted, delayed, or returned to sender due to a glitch?
Dec 29, 2019   |  By Yuval Dror
Rapid software release is the new norm – and that has pushed many companies to ditch their monolithic software development approach in favor of SOA. More companies are embracing microservices – an SOA-style approach for developing and deploying business logic as small, independently deployed services – for a number of reasons: it reduces risk, is faster to deploy and it easily scales.
Dec 24, 2019   |  By Ira Cohen
While checking in recently with one of Anodot’s newest clients, I got the sort of feedback that every product owner loves hearing. I asked, “During this past month, have you been able to check alerts triggered for your region? Do you use them? Do you have any feedback?” They replied, “The alerts are spot on. Thanks all.” The company then went on to adopt Anodot across more teams. So why are we so obsessed with alerts being spot-on?
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.
Nov 18, 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. CTO Lior Schachter and other members of the NI team share the difference Anodot Autonomous Analytics has made across the company.
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.