Stream: Service Management
Time: 10:00 - 10:45
IBM Z is one of the most well instrumented technologies in the world, generating more data than humans can interpret. Machine learning augments human intelligence to detect anomalous behavior in the systems to help proactively identify operations issues. Learn about how machine learning and AI can be applied to different types of data and different use cases across your entire IBM Z stack.
There is currently no attachment for Leveraging machine learning, anomaly detection, and AI for IT Operations
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.
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