Start your engines. The holiday season has officially begun! With the upcoming shopping frenzy surrounding Black Friday and gift buying, it is one of the most important times of the year to avoid glitches like the ones below.
The number and variety of AIOps benefits far outweigh the cost of implementation. Research from EMA highlights that 81% of enterprises have received value that exceeds costs.
There’s a solid rationale behind replacing antiquated technology, as they fail to keep pace with how the healthcare environment is evolving. One such invention is the good, old pager. Recently, the U.K.’s National Health Service Trust (NHS) was on the radar when the organization’s sensitive medical data was hacked by an individual in North London. The malicious party intercepted radio waves, converting it into legible text on his computer monitor.
In order to keep digital services running around the clock, teams need to be able to solve problems faster—or, ideally, in real time. Many vendors claim to provide value and help organizations bolster their digital operations management.
Root Cause Analysis (RCA) is an all-encompassing process. It is usually very complicated and often requires many people with many different skills – all trying to tackle an incident to determine what happened, when, why, how and ultimately who (to blame). There is, however, secret sauce today that can help solve many issues before a “full-scale” RCA process is initiated – and that is Root Cause Changes (RCC).
Have you ever wanted to get important alerts from Azure Monitor notified on your smartphone and have all the important details of the problem at your fingertips? Have you ever missed the option to easily change the status of alerts from Azure Monitor in the Azure smartphone app? Ever missed a push notification because there was no persistent and advanced alerting? Then this article is for you.
Digital transformation may be the largest shift the IT industry will experience in a lifetime. It’s a term used throughout the tech industry and in various contexts. Gartner defines it as “…anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models,” which has massive implications for almost every organization.
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.
