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IBM Launches Watson AIOps and Updates Multiple Products
Operational resilience and cost reduction through IT infrastructure automation
Runs on all clouds based on OpenShift
IDC predicted that by 2024, companies empowered by AI will be able to respond to customers, competitors, regulators, and partners 50% faster than those that are not.
IBM is introducing 'IBM Watson AIOps,' which uses AI to automate the process of autonomously detecting, diagnosing, and responding to IT infrastructure anomalies in real time.
With IBM Watson AIOps, enterprises can implement infrastructure-level automation. CIOs can predict and envision future outcomes more accurately to focus resources on creating greater value and build highly responsive, intelligent networks that can be sustained for longer.
This solution is based on the latest release of Red Hat OpenShift and can run in hybrid cloud environments. It also integrates with distributed work environments such as Slack and Box, and can be used in conjunction with existing IT monitoring solutions such as Mattermost and ServiceNow.
IBM also announced the 'Accelerator for Application Modernization with AI' as a component of the 'IBM Cloud Modernization' service. This feature is designed to help enterprises support application modernization.
The suite of tools provided by the AI-driven application modernization accelerator reduces the time required for analyzing and recommending various architectures and microservice options, and leverages continuous learning and explainable AI models to adapt to software engineering practices preferred by enterprise customers and support evolving modern technologies and platforms.

Han Seon-ho, Managing Director of IBM Korea’s Data & AI Business, explained, “For AI to succeed in a business environment, three conditions—language, automation, and trust—are necessary,” adding, “Due to the increased demand for remote work caused by the COVID-19 crisis, the demand for AI automation is rising at an unprecedented pace.”
In addition to operational automation solutions, IBM has updated several new features related to IT operations.
First, IBM added 'IBM Planning Analytics,' which automates business planning, budgeting, and forecasting, and 'IBM InfoSphere Master Data Connect,' which allows access to MDM deployed in on-premises environments with DataOps capabilities, to 'IBM Cloud Pak for Data.'
And in 'IBM Cloud Pak for Automation', the ease of automation solutionsWe have added a 'digital worker' feature to support job creation. The digital worker automates repetitive tasks and can collaborate with people.
Finally, IBM Watson Assistant now provides a pre-built user interface, eliminating the need for separate development work for deployment, and incorporates user experience-based best practices into its design. It also newly supports integration with leading customer service platforms, allowing companies to preserve their existing investments while enabling users to easily utilize live agents.
In addition, an 'autolearning' feature will be launched this summer, which learns from past customer behavior to provide the most relevant and optimal answer when a new question regarding the same topic is asked.
Operational resilience and cost reduction through IT infrastructure automation
Runs on all clouds based on OpenShift
IDC predicted that by 2024, companies empowered by AI will be able to respond to customers, competitors, regulators, and partners 50% faster than those that are not.
IBM is introducing 'IBM Watson AIOps,' which uses AI to automate the process of autonomously detecting, diagnosing, and responding to IT infrastructure anomalies in real time.
With IBM Watson AIOps, enterprises can implement infrastructure-level automation. CIOs can predict and envision future outcomes more accurately to focus resources on creating greater value and build highly responsive, intelligent networks that can be sustained for longer.
This solution is based on the latest release of Red Hat OpenShift and can run in hybrid cloud environments. It also integrates with distributed work environments such as Slack and Box, and can be used in conjunction with existing IT monitoring solutions such as Mattermost and ServiceNow.
IBM also announced the 'Accelerator for Application Modernization with AI' as a component of the 'IBM Cloud Modernization' service. This feature is designed to help enterprises support application modernization.
The suite of tools provided by the AI-driven application modernization accelerator reduces the time required for analyzing and recommending various architectures and microservice options, and leverages continuous learning and explainable AI models to adapt to software engineering practices preferred by enterprise customers and support evolving modern technologies and platforms.
▲ Executive Director Han Seon-ho [Photo=IBM]
Han Seon-ho, Managing Director of IBM Korea’s Data & AI Business, explained, “For AI to succeed in a business environment, three conditions—language, automation, and trust—are necessary,” adding, “Due to the increased demand for remote work caused by the COVID-19 crisis, the demand for AI automation is rising at an unprecedented pace.”
In addition to operational automation solutions, IBM has updated several new features related to IT operations.
First, IBM added 'IBM Planning Analytics,' which automates business planning, budgeting, and forecasting, and 'IBM InfoSphere Master Data Connect,' which allows access to MDM deployed in on-premises environments with DataOps capabilities, to 'IBM Cloud Pak for Data.'
And in 'IBM Cloud Pak for Automation', the ease of automation solutionsWe have added a 'digital worker' feature to support job creation. The digital worker automates repetitive tasks and can collaborate with people.
Finally, IBM Watson Assistant now provides a pre-built user interface, eliminating the need for separate development work for deployment, and incorporates user experience-based best practices into its design. It also newly supports integration with leading customer service platforms, allowing companies to preserve their existing investments while enabling users to easily utilize live agents.
In addition, an 'autolearning' feature will be launched this summer, which learns from past customer behavior to provide the most relevant and optimal answer when a new question regarding the same topic is asked.
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