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.
IBM Watson AIOps is well suited for IT Asset Management tasks due to its insightful dashboard that leads our IT Team to track IT Asset usage/requirements in real-time. We have also enjoyed using the reports provided for IT Asset Management which we provide to our upper management team for predictive budgeting purposes. We found that IBM Watson AIOps is not as well suited for our Application resource automation as the tuning (aggressiveness) is not as tunable as we would like.
[...] 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.
In platform expertise and workflows, so we don't allows have to build everything from scratch.
Tight integration within ServiceNow (especially ITSM) but also brings information and data in from other sources, so I don't feel we are stuck in a proprietary hole.
Increased investment in AIOps and automation
Relatively fast time to value with out-of-the-box capabilities and automation.
We achieved in financial what we are aiming for, as our targets are fulfilled, we solved many issues using ServiceNow, Creation of knowledge article improved, Ticket system got customized, overall survey from the customer is 4 out of 5, customization is done without any hustle and integration was very easy.
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.
We wanted it integrated with ITSM and ITBM. Prioir to that we used JIRA for agile development and SysAid for ticketing. So we started with converting SysAid. We went live with Vanilla ITSM. Then we could have a basis for ITOM. However, we needed to migrated from JIRA to ITSM. Only then we felt mature enough to examine ITOM, which required quite a lot of resources. You need networking, motoring, IT and Cyber security team members in your project!!