Event correlation is a powerful capability that can help reduce IT noise, detect incidents in real-time, and improve the performance of critical applications and services. Read on for a deep dive into event correlation as we explore everything from its origins to its current state-of-the-art techniques. We’ll also discuss how event correlation fits into the bigger picture of integrated service management.

Healthcare around the world is constantly evolving. The amount of data being generated daily from every appointment and interaction, no matter how small or large, needs to be processed and analyzed in order to improve patient outcomes. The data must be accurate, stored, accessible and secure. Without a core infrastructure of smart IT, any outcomes are extremely challenging to generate, and data must be available in seconds for doctors to make life-saving decisions. The bottom line?

Just consider how much of your day relies on online digital technologies. Perhaps you hopped on an app to pre-order your morning coffee and then logged onto a platform to book a car to work. Or, perhaps you stayed home to work, using digital tools to connect with your colleagues and exchange information.

Can it help businesses? Machine learning is an inescapable buzzword for many in the operations sector. Even friends and colleagues tend to make us aware of a new ML tool that may or may not be useful. While there are many ML tools in the market, not all are suitable for every business. Some tools, when tested, struggle to solve basic, everyday use cases. Therefore, when evaluating ML tools, other deeper questions and issues do arise.

AIOps stands for artificial intelligence for IT Operations. AIOps, is a set of tools and algorithms that gather data from the entire IT environment, including different monitoring systems, log files and other IT data sources. It then analyzes and applies machine learning algorithms to determine the root cause of an incident. This means that instead of having to go through a long troubleshooting process by analyzing log files and manually looking for root causes, AIOps does it for you in minutes.

I am thrilled to announce that ScienceLogic posted its best quarterly sales bookings in our company’s history! Amid warnings from the broader tech industry slowdown, ScienceLogic proved once again to be an outlier, as current macro trends continue to drive strong demand for IT transformation.

In our inaugural State of Availability Report, we discovered that not only do metrics matter but the way we use them also does. Our research found that teams with fewer KPIs were more likely to meet their Service Level Agreements (SLAs) and provide their customers with higher levels of availability. The problem with having too many KPIs is that they cause information overload and noise.

Digital data is everywhere, and its sheer volume and ambiguity often make it challenging for us humans to analyze. That’s why we use a special branch of AI called artificial intelligence for IT operations (AIOps) to reveal the deeper structure of copious data. AIOps sits at the intersection of big data and machine learning to improve the efficiency of IT operations.