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Log and Data Analytics on IBM Z

(3P)

Stream: Virtual Room 3
Time: 14:00 - 15:00


Presentation

Mainframe teams have a unique set of challenges when attempting to modernize their operational approach. With the rapid acceleration in data volume and complexity, the desire to visualize, search and contextualize this data is growing every day. What’s needed is a way to efficiently capture and stream this previously inaccessible unstructured data and turn it into actionable insights. In this session, you’ll learn how to leverage IBM Z AIOps to surface mainframe data using modern log analytics platforms, as well as understand the key benefits associated with taking a proactive approach delivered with IBM Z Operational Log and Data Analytics.

Attachments

There is currently no attachment for Log and Data Analytics on IBM Z

Speakers


  • Kekahu Aluli at Sponsor26: IBM
  • IBM Z AIOps Sr. Product Manager


    Email: kekahu.aluli@ibm.com

  • Kekahu Aluli at Sponsor26: IBM
  • IBM Z AIOps Sr. Product Manager


    Email: kekahu.aluli@ibm.com

  • Kekahu Aluli at Sponsor26: IBM
  • IBM Z AIOps Sr. Product Manager


    Email: kekahu.aluli@ibm.com

  • Kekahu Aluli at Sponsor26: IBM
  • IBM Z AIOps Sr. Product Manager


    Email: kekahu.aluli@ibm.com

  • Kekahu Aluli at Sponsor26: IBM
  • IBM Z AIOps Sr. Product Manager


    Email: kekahu.aluli@ibm.com