Operations | Monitoring | ITSM | DevOps | Cloud

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The Impact of AI on Data Accuracy

Decomplexify Your Everything Chrystal Taylor and Jeff Stewart The increasing complexity of IT means new skills are always needed to keep up and stay relevant, but acquiring new skills takes time. Having the right set of tools is essential for success. In this session, we'll break down how to decomplexify and what the heck that means. It's time to consolidate what can be consolidated, break down barriers, reduce waste, and manage the madness.

Monitoring the IBM Power Ecosystem using Microsoft Azure | Webinar by NiCE

In today’s interconnected and hybrid cloud environments, effective system monitoring is crucial for maintaining performance, reliability, and security. This technical presentation explores how Microsoft Azure enables comprehensive monitoring of the IBM Power ecosystem, explicitly focusing on AIX, Linux on Power, and Linux on Z Series operating systems. Further, active monitoring of HMC and VIOS is considered.

Modernizing the Data Pipeline with Cribl - Aaron Wilson, iHerb & Jon Rust, Cribl

In the quest to turn our outdated and disorderly SIEM into a modern, streamlined and manageable solution, we turned to Cribl. Together we develop a centrally managed environment that empowered our teams to manage multiple data sources and destinations with improved time-to-value, reducing data flow steps, and increasing sustainability. Join this session to learn how we used Cribl to modernize and streamline our SIEM operations into a single point of management solution.

#028 - Kubernetes for Humans Podcast with Chris Bailey (IBM Instana)

Chris is an IBM Distinguished Engineer and CTO for Instana, leading the technical strategy and development of Observability and IT Automation solutions at IBM. He is a recognized technology leader across programming languages, runtimes, platforms, observability, and automated IT operations. He has pioneered projects that fundamentally enhanced open-source communities and cloud-native platforms.

Is Artificial Intelligence for Infrastructure and Operations really just Intelligent Automation?

Artificial Intelligence (AI) tools have the potential to revolutionize IT infrastructure and operations (ITOps) by automating routine tasks, enhancing system reliability, and improving efficiency. However, the term “Artificial Intelligence” can sometimes be misleading in this context. A more accurate description might be “Automated Intelligence” because these tools often automate predefined tasks and processes rather than exhibit true cognitive intelligence.

The Importance of Accurate Data to Get the Most From AI

The IT service community is rightly buzzing about the wealth of possibilities AI offers to automate service management operations and better assist customers — especially in this age of expanding Everywhere Work. But without sound data, the path to leveraging AI for IT service management becomes quite daunting. With so many more people working outside a traditional office setting, more end users than ever are logging in more often to access employee services.