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Nov 19, 2019   |  By Nir Perelman
At the advent of the technological era, developers found themselves wasting hours of valuable resources on manual QA. As software was released, teams manually confirmed that it was bug-free and reliable, all the while testing new features and checking for regression of existing features. Unfortunately, this manual approach was prone to mistakes, created long delays in workflows and was tedious and time-consuming.
Nov 19, 2019   |  By Anodot
Augmented analytics is trending. You’ve read about it, you’ve heard about it, you may even be in the process of acquiring systems running it. But what exactly is it, and how can you recognize it? As the guys building augmented analytics, we’re here to dispel some of the hype. On the highest level, augmented analytics is the machine learning processes geared at making data more accessible and actionable for both data scientists and business users.
Nov 18, 2019   |  By Amit Levi
The digital era has brought vast cultural transformations – the sharing economy, microtransactions, lightning-fast communication and much more. Much of this has also resulted in considerable innovation in revenue-related areas. Companies from various industries today manage a large number of revenue streams from different revenue models.
Nov 3, 2019   |  By Anodot
If you aren’t frightened enough this Halloween, spend some time reading these tales of glitchy horror! Then, save your company from becoming a ghost story with Anodot’s anomaly detection and keep your platforms running smoothly.
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).
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.