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The Fuel that's driving AIOps

By Veeramani Nambi posted Wed July 14, 2021 02:21 PM

  

Originally published in the AIOps on Z Community

Introduction

The increasingly hybrid and complex application landscape that spans from distributed to Z is accelerating the challenges that CIOs and IT operations must deal with to maintain the health and resiliency of their hybrid applications and infrastructure.  Operations teams are inundated with terabytes of data in real-time that they need to sift through to identify issues before they become an impact, and with limited staff and only 10% having 90% of the critical expertise, you’re dealing with a skills and burnout problem.

Organizations are looking for ways the machine can do more of the heavy lifting which is a major driver for why enterprises are turning to AIOps.  The machine can leverage artificial intelligence and machine learning to connect the dots across different data sources and tooling to quickly identify developing problems and surface insights on anomalies and forecasted problems to provide recommendations and automation to remediate the issue, significantly reducing the time to resolution.

Read more here -> http://ibm.biz/AIOps-Brad-0713

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