IBM Cloud Pak for AIOps (formerly IBM Watson AIOps) allows users to deploy advanced, explainable AI on an open platform to assess, diagnose, and resolve incidents across mission-critical workloads. With it, users can extend the event analytics from IBM Netcool Operations Insight with real-time analysis of unstructured data, holistic correlation, and ChatOps integration; or, users can augment an existing monitoring solutions.
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ServiceNow IT Operations Management
Score 9.0 out of 10
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Built on the Now Platform, the ServiceNow IT Operations Management bundle is designed to help users gain visibility across infrastructure and apps, maintain service health, and optimize cloud delivery and spend.
Functional and very excellent Cloud system which offers multiple Cloud services and the best tool to manage different data center which are from various Vendors and secure data management IBM solution with easy and friendly interface. The integration tools are excellent and the ability to fix issues from multiple environment and the analytics are good.
[...] is changing the way our internal support staff (not only in the IT field) work and enhancing the experience for employees seeking IT assistance through ServiceNow IT Operation Management. We have moved the usual and personalized IT tools and functions from [...] service-desk to ServiceNow IT Operations Management. These advancements have sparked innovation in various aspects of our IT support management, such as enhancing accessibility, managing incidents, optimizing IT workflows and procedures, enforcing service level agreements (SLAs), incorporating AI/ML technology, utilizing virtual agents, streamlining automation, and sharing knowledge throughout the support team via data visualization, monitoring, and reporting. In brief, our collaboration with ServiceNow IT Operations Management is enhancing the effectiveness of our internal system and benefiting our shared clients.
The centralized dashboard allows us to keep track of production incidents as they come in, and allow us to view and sort them based on severity, making sure it's tracked
The read/edit access and role granting process is straightforward, meaning that only the right people can change /update the statuses of incidents without unintended consequences
With AI driven classification, it's easy to track outage impacts
ServiceNow's IT Operations Management (ITOM) includes features such as discovery, service mapping, event management, automation, and a user interface designed to be navigable. Users can bookmark important areas for quick access. Provides very good visibility of assets. The UI is little difficult but once got used to is very good to use.
IBM Watson AIOps stacks up well with Turbonomic because it basically is Turbonomic. IBM added Turbonomic's feature set into IBM Watson AIOps and we were therefore quite comfortable shifting to the re-branded version introduced by IBM. We do like the fact that IBM Watson AIOps includes the functionality of Turbonomic.
BMC was our legacy system before deploying ServiceNow. It's time had passed for us as it couldn't really keep up with our move to cloud and the number of services we were using. The cost kept getting higher, especially with all of the customization we had to do. Over the years, just got unwieldy. We still use Splunk for raw data and log analysis, but we upgraded to ServiceNow event management and the Loom system log analytics. We had Loom before ServiceNow bought them, but it's nice it's all on one platform for us. Splunk at times had so much info, we didn't know where to start, but ServiceNow gives us a great starting point.
