Webinar: IBM and IntelliMagic bring vision to IBM Z in the cloud

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When:  Apr 23, 2024 from 01:00 PM to 02:00 PM (ET)
Associated with  IBM Z and LinuxONE


Today’s global, 24/7 economy demands business applications to offer continuous availability (zero service disruptions), but a lack of critical visibility into and understanding of the IT infrastructure makes this difficult to achieve. IBM IntelliMagic Vision empowers mainframe sites to prevent service disruptions before they occur and utilize measurement data insights to lower costs and optimize business applications. Learn how IBM Z IntelliMagic Vision for z/OS provides this vision both in your environment and on the cloud.

Learn how IBM Z IntelliMagic Vision for z/OS provides this vision both in your environment and on the cloud.

Key speakers

Domenico D’Alterio, Principal Product Manager - IBM Z AIOps, IBM

Domenico D’Alterio is the IBM Principal Product Manager for IBM zAIOps portfolio, mainly focused on IBM Z IntelliMagic Vision for z/OS offering. In addition to this offering, Domenico takes care of the IBM Z AIOps integration scenarios strategy with the objective to define cross products integrations that reduce the Mean Time To Resolution (MTTR) of IT problems. 

In parallel, he contributes to the open-source project Zowe strategy and direction as well as market success of IBM Z distribution for Zowe. Thanks to his passion in sharing his knowledge about Z platform and open source projects, especially Zowe, Domenico was nominated Open Mainframe Project ambassador in March 2023 and IBM Z Federated Advocate in December 2023.

Todd Havekost, Senior z/OS Performance Consultant , IntelliMagic, an IBM Company

Todd Havekost is a Senior z/OS Performance Consultant at IntelliMagic. He has over 45 years of IT experience with a primary focus on system and subsystem performance across the IBM Z platform. He joined IntelliMagic in 2016 after experiencing first-hand as a customer the visibility IntelliMagic Vision provides into SMF data, and now spends his days helping customers derive great value from their own SMF data to improve availability and performance.



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