IBM and ServiceNow help companies use AI to automate IT and reduce costs and risks – PCR

IBM and ServiceNow are developing a new joint solution that combines IBM’s AI-supported hybrid cloud software and professional services with ServiceNow’s intelligent workflow capabilities and IT services and operations management products.

The solution will help to gain a deeper understanding of AI-driven data, create a baseline of a typical IT environment, and take concise recommended measures for abnormal behaviors to help prevent and solve IT problems on a large scale.

IBM CEO Arvind Krishna said: “To the extent that every company has quickly become an AI company, AI is one of the biggest forces driving change in the IT industry.” By cooperating with ServiceNow and its market-leading Now Platform, customers will be able to Use AI to quickly reduce the cost of unforeseen IT events. Watson AIOps with the ServiceNow Now platform is a powerful new way for customers to use automation to transform their IT operations. “

ServiceNow CEO Bill McDermott said: “For every CEO, digital transformation has changed from an opportunity to an inevitable.” “As ServiceNow leads the workflow revolution, our cooperation with IBM combines the intelligent automation capabilities of the Now Platform with Watson AIOps. Combining the powerful features of the company. We are focused on driving productivity, innovation and growth. ServiceNow and IBM are helping customers meet the digital needs of 21st century enterprises.

IBM and ServiceNow will initially focus on:

• Joint solution: IBM and ServiceNow will provide the first IT solution of its kind. The solution combines IBM Watson AIOps with ServiceNow’s intelligent workflow capabilities and market-leading ITSM and ITOM Visibility products to help customers prevent and repair IT problems on a large scale. Now, companies using ServiceNow ITSM can push historical event data to Watson AIOps’ deep machine learning algorithm to create a benchmark for their normal IT environment, and at the same time have the ability to help them identify abnormalities outside of normal, which may cost Certain time. Based on the preliminary results of specific Watson AIOps early adopter customers, the time for manual identification can be extended by up to 60%. The joint solution will position customers to improve employee productivity, have a clearer understanding of their operational footprint, and respond to incidents and problems faster.

Specific product features will include:

• • ServiceNow ITSM Allowing IT to provide scalable services on a single cloud platform is estimated to increase productivity by 20%.
  • ServiceNow ITOM visibility Automatically provide near real-time visibility to the true operating status of all resources and all business services from the local configuration management database.
  • IBM Watson AIOps Use AI to automate how companies can detect, diagnose, respond and repair IT anomalies in real time. The solution is designed to help CIOs make more informed decisions when predicting and adjusting future results, focus resources on high-value work, and build smart applications with longer response times that can stay longer Service life. According to a recent preliminary proof-of-concept project with a customer, using Watson AIOps, the average time to resolve incidents was reduced by 65%.

Stephen Elliot, vice president of IDC’s DevOps and Management Software Program, said: “In order to meet customer needs, companies are facing increasing pressure to adapt to the digital pace of the cloud-first market.” “C-suite is transforming workflows to provide Insights and automation to provide companies with more effective customer engagement models and cost control strategies, while simplifying IT operations and enhancing collaboration between IT and business stakeholders.”

The news reinforces the previously announced partnership between IBM and ServiceNow to help companies simplify IT operations in multi-cloud environments.

In addition, IBM also announced the establishment of the AIOps Elite team-a new free senior participation team dedicated to designing AIOps in the client environment and building and improving AI models.

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