Unlike some AI initiatives, AIOps doesn't always necessitate the use of a data scientist, so don't let hiring expenses put your AIOps initiatives on hold. It is always nice to have IT team members with AI skills, but this becomes less critical as more intelligent solutions come into prominence that offer AIOps features out of the box, a readily deployable option for IT ...

In response to the global pandemic, companies have given their workforce the tools they need to work remote. And research shows it has increased their engagement and productivity. But these gains are on the brink of being wiped out. According to a new study from Citrix Systems, Inc., employees feel they've been given too many tools and not enough efficient ways to execute. And it's hindering their ability to get things done ...

Currently, (and most likely well into the future) the overwhelming majority of organizations still need to monitor and maintain enterprise applications. Moreover, where these are complex systems developed, debugged and refined over years, often decades, around a business's core processes, there can also be very strong practical arguments for viewing them as classics. They can offer a valuable legacy, one best left where it is, doing what it does, how it always has done ...

The introduction of the latest technology — such as AI and machine learning — can be seen as a way for organizations to accelerate growth, increase efficiency, and improve customer service. However, the truth is that the technology alone will do little to deliver on these business outcomes. AI for IT operations (AIOps) is one area where the application of technology, if not matched with organizational maturity readiness, will fail to deliver all the promised benefits ...