October 15, 2020 By Robin Hernandez 2 min read

An exciting, new integrated solution from IBM and ServiceNow.

IBM and ServiceNow recently announced a new partnership focused on modernizing our clients’ IT processes. By bringing IBM Watson AIOps and ServiceNow’s IT Service Management (ITSM) and IT Operations Management (ITOM) offerings together in an integrated solution, supported by IBM Services’ expertise in enterprise transformation, we are applying leading AI capabilities from IBM Watson into the workflows and data captured in ServiceNow’s Now Platform. By applying patent-pending Watson AI to incidents in ServiceNow, customers will leverage automation to decrease time spent on maintenance and will ultimately be able to reduce the overall number of incidents that occur. 

The Journey to AIOps

IBM is excited to partner with ServiceNow around the opportunity to deliver a great Watson AIOps experience in ServiceNow. The power of this integrated solution is in giving IT teams a shared and meaningful understanding of IT incidents, much more quickly:

  • IT teams often struggle in getting across their disparate data silos to form a coherent point of view on an incident, hindering a quick, confident response.
  • In our integrated solution, Watson AIOps uses data from incidents to generate insights and prescriptive recommendations that could otherwise take an IT administrator hours to achieve manually.
  • These AI-generated insights and recommendations land inside the powerful business process models and tools within ServiceNow, capturing the outage with the context of a single source of truth.

This integrated solution allows IT teams to adopt AI in familiar IT process models, significantly reducing time spent on operations while improving outcomes. IBM Services will help clients adopt Watson AIOps and ServiceNow, speeding their transformation and ability to seize value.

Take the next step

Building on this partnership, IBM is proud to launch our AIOps Elite team, a team of data scientists working to apply AI inside IT organizations, growing IT’s presence as a trusted partner. Remediating and reducing incidents is one of the first use cases that IT teams will tackle by applying AI and automation. Our AIOps Elite team will work with IT organizations to leverage AI incrementally, with trust and transparency, accelerating IT to modern digital operations management. These essential skills, combined with the capabilities in Watson AIOps, represent a highly effective solution designed to deliver the agility, risk reduction and cost savings promised by adopting AIOps.

This announcement reflects an exciting expansion of the relationship between IBM and ServiceNow and a great opportunity for organizations and teams considering AIOps to take the next step.

To learn more, register for our November 9, 2020 webinar.

More from Cloud

IBM Tech Now: April 8, 2024

< 1 min read - ​Welcome IBM Tech Now, our video web series featuring the latest and greatest news and announcements in the world of technology. Make sure you subscribe to our YouTube channel to be notified every time a new IBM Tech Now video is published. IBM Tech Now: Episode 96 On this episode, we're covering the following topics: IBM Cloud Logs A collaboration with IBM watsonx.ai and Anaconda IBM offerings in the G2 Spring Reports Stay plugged in You can check out the…

The advantages and disadvantages of private cloud 

6 min read - The popularity of private cloud is growing, primarily driven by the need for greater data security. Across industries like education, retail and government, organizations are choosing private cloud settings to conduct business use cases involving workloads with sensitive information and to comply with data privacy and compliance needs. In a report from Technavio (link resides outside ibm.com), the private cloud services market size is estimated to grow at a CAGR of 26.71% between 2023 and 2028, and it is forecast to increase by…

Optimize observability with IBM Cloud Logs to help improve infrastructure and app performance

5 min read - There is a dilemma facing infrastructure and app performance—as workloads generate an expanding amount of observability data, it puts increased pressure on collection tool abilities to process it all. The resulting data stress becomes expensive to manage and makes it harder to obtain actionable insights from the data itself, making it harder to have fast, effective, and cost-efficient performance management. A recent IDC study found that 57% of large enterprises are either collecting too much or too little observability data.…

IBM Newsletters

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