Stream: Service Management
Time: 10:00 - 10:45
Machine Learning is perceived as the way to sip through large amount of data, draw conclusion, capable of predict outages, pinpoint root cause, suggest remediation. After many years of trying, the result is still not ideal (“oh no, false positive!”). Does this mean we should give up? If not, how can we turn the “not so ideal” results into something useful? This session will clarify the ML myths and hypes. Share how machine learning can be used pragmatically; and how can clients help make this a reality. Collect feedback on a few approaches such as Event Grouping, Gen AI and LLM; brainstorm on other ways to make AI useful. Brainstorm on the balance between leveraging the power of AI and safeguarding wrong decision or actions in IT operation space.
There is currently no attachment for The journey to trusting AI for IT operations using Machine Learning
Domenico D’Alterio is the IBM Principal Product Manager focused on The Linux Foundation's ZoweTM and IBM Z distribution for Zowe projects. He contributes to the open-source project strategy and direction as well as market success of IBM Z distribution for Zowe. Prior to his current role, Domenico was the Product Manager for offerings in the IBM Z AIOps area working on the strategic directions of multiple offerings. In the previous years, he covered different managerial positions in IBM Development and Customer support organization as well as the role of Product Manager of Z Analytics products, Domenico joined IBM in 1999. Starting as designer, moved to a managerial role in 2006, acting as Development and Customer Support manager in the former Tivoli division of IBM. He graduated in Electronic Engineering, in Italy.
Sowmya Kameswaran works at the IBM Silicon Valley Labs in San Jose California and leads the Transformation of User Experience for Db2 for z/OS platform and ecosystem. Understanding the way users interact with the system and building solutions and interfaces to provide the best user experience is what she enjoys to do. Being hands-on into software development helps her go end to end from understanding the kind of experience customers need to getting it built.
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