I like the artificial intelligence and machine learning that it uses in the solution. Because once the solution discovers all the assets, all the infrastructure, and all the dependencies between services, it learns how it works. So, it learns to predict when a problem is going to happen. It becomes predictive in an autonomous way. You don't need a human to do that, and it helps the IT team go to the root cause of the problem. That reduces noise about the exam. Like, when a portal or a system goes down, you have a storm of incidents. Everybody opens an incident because they can't access the portal. It's not working, or they access it, and they can't input data into the portal or something like that. So when you have the AIOps — the artificial intelligence and machine learning — you aggregate all these incidents and use information from other solutions like a CMDB, Helix, nonuse, Dynatrace, or Apache Log. It makes the relationship between all this data and helps you go to the root cause of the problem really fast. So, AIOps is the most important feature of the BMC Helix platform because it helps a lot. It combines IT operations with business operations. Today, in most enterprises, we have siloed areas. Business is siloed, and what they're doing in IT is isolated here. But when you deliver the BMC Helix platform to an enterprise, you help them break these silos and integrate all areas. The visibility that the platform gives is for all areas, not just for IT. So, in the portal, you have a collaboration, like social media collaboration, and you have a chatbot, an automated chatbot, and an intelligent chatbot, which helps you understand the problems you encounter. And the communication between the areas becomes better. And this is all possible because of the AIOps in the solution.
