Operations | Monitoring | ITSM | DevOps | Cloud

This recurring blog will look at specific ITOM technologies within the OpsRamp solution and general ITOM challenges. Got an idea for this blog or want to learn more about ITOM at OpsRamp?

In today’s business landscape, efficient management of digital resources is paramount, especially when it comes to collaborative platforms like SharePoint Online. As organizations increasingly rely on SharePoint for document management, communication, and collaboration, the costs associated with its usage can escalate quickly. This is where strategic cost management becomes essential.

Team performance management is an essential part of leading a workforce and ensuring desired outcomes are achieved. As employees on average spend 54% of their time working in teams, it’s important to measure their performance as a collective. However, many organizations are struggling to effectively manage and measure team performance, leading to inefficiencies and missed opportunities. ‍ ‍

As per a survey by Comcast Business, around 85% of IT leaders trust AI networking tools for meeting their organization’s goals. This stat alone is enough to show how big of a role AI is playing in network monitoring. And it’s just the beginning, with rapid development in Artificial Intelligence, we might see a lot more sophisticated AI use cases for network monitoring. But how exactly does AI help in network monitoring? What its roles, benefits, challenges, and how to implement it?

Who could have predicted that 2023 would see such a huge leap forward in Artificial Intelligence (AI)? That this was going to be the year industries decided that, this is the decade, we would solve AI. From the earliest research as far back as the 1940s, we’ve all been holding our breath, wondering when AI will live up to the expectations painted by science fiction writers and futurists. With the arrival of ChatGPT from OpenAI, we’ve been catapulted into the next generation.