Artificial intelligence
June 29, 2022 By Mandy Long 2 min read

IBM is pleased to announce the latest release of IBM Cloud Pak® for Watson AIOps — version 3.4 — available as of June 30, 2022.

IBM Cloud Pak for Watson AIOps version 3.4 release focuses on improvements that continue to bring together our powerful IT Automation portfolio and provides enhancements to our scalability.

Additionally, we’ve added a new connector to our network monitoring product, IBM SevOne Network Performance Management (NPM), to help network data flow to Cloud Pak for Watson AIOps to detect incidents and achieve proactive incident resolution stemming from customers’ network environments. This helps users in the midst of an IT incident go from finger-pointing in the war-room to clearly and quickly locating failures for prompt resolution. Finally, Cloud Pak for Watson AIOps will feature new improvements to Infrastructure Automation, and it will now provide support for Red Hat Virtualization 4.4 and the System Z (in addition to the integration with Turbonomic), to ensure clients leverage existing deployments and increase ROI with proactive AIOps capabilities.

New features

Integration with IBM SevOne NPM

Cloud Pak for Watson AIOps v3.4 and the new connector with IBM SevOne NPM allow companies to add an additional tool on their journey to AIOps. In the past few years, the focus of the shift from IT Operations to AIOps has been application-centric. Today, with the launch of v3.4 of Cloud Pak for Watson AIOps, this application-centric approach shifts to full-stack observability through integration with the dynamic network monitoring and alerting capabilities from IBM SevOne NPM.

Enterprise scaling updates

According to the IDC, 80% of organizations estimate that they have over 1,000 applications in their portfolio, which means that now, more than ever, scalability is an essential part of AIOps. IBM Cloud Pak for Watson AIOps v3.4 delivers on the promise to serve organizations with dozens or thousands of applications with improvements to a few of our key features:

  • New ways of viewing events/alerts, relevant information and associated runbooks that can be used with existing Netcool components (e.g., Netcool/OMNIbus, Netcool/Impact) deployed in production.
  • The ability to investigate multiple metrics at one time.
  • Improvements to change-risk model performance using data profiling, data selection and user feedback.
  • The ability to create custom event, topology and metric data collectors.
  • Improvements to scalability, upgradeability, backup and restore and geo-redundancy.

Overall, our solution generates trusted opinions, insights and actions that enable users to consolidate and prioritize their work. Users spend less time identifying issues and can now allocate more time to innovation.

Learn more

To learn more, visit our IBM Cloud Pak for Watson AIOps page, and learn all about our product features with our product tour.

Mandy Long
VP, IBM Automation

More from Artificial intelligence
April 26, 2024

AI transforms the IT support experience

5 min read - We know that understanding clients’ technical issues is paramount for delivering effective support service. Enterprises demand prompt and accurate solutions to their technical issues, requiring support teams to possess deep technical knowledge and communicate action plans clearly. Product-embedded or online support tools, such as virtual assistants, can drive more informed and efficient support interactions with client self-service. About 85% of execs say generative AI will be interacting directly with customers in the next two years. Those who implement self-service search…

April 26, 2024

Bigger isn’t always better: How hybrid AI pattern enables smaller language models

5 min read - As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. Tools in the generative AI domain allow us to generate responses to prompts after learning from existing artifacts. One area that has not seen much innovation is at the far edge and on constrained devices. We see some versions of AI apps running locally on mobile devices with…

April 25, 2024

Chat with watsonx models

3 min read - IBM is excited to offer a 30-day demo, in which you can chat with a solo model to experience working with generative AI in the IBM® watsonx.ai™ studio.   In the watsonx.ai demo, you can access some of our most popular AI models, ask them questions and see how they respond. This gives users a taste of some of the capabilities of large language models (LLMs). AI developers may also use this interface as an introduction to building more advanced…

IBM Newsletters

 Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters