Industry Perspectives

AIOps uses the combination of machine learning and human decision-making to provide a more adaptable, customized service.

When enterprises rely solely on cloud monitoring, they often get a skewed, overly positive sense of end users’ digital experiences.

Much like the recent hype and conflicting definitions around AI, we can expect a similar response around DataOps as the discipline gains popularity.

2019 will be the year that cloud providers, security vendors and organizations will all make great strides toward simplifying, yet strengthening, security.

Getting a clear picture of what already exists helps determine if building a new data center is indeed the right option.

A global data fabric combines an organizations’ scattered storage devices to work as one.

The ability to streamline automation workflows in the data center is where the value lies.

What makes DataOps smart is that it’s based on culture and process changes, not radical new technology, because the foundation of DataOps is data.

Integration PaaS needs to go beyond basic application and data integration to address the full capabilities of cloud data management.

Organizations will need to target an S3 platform that also supports the EV Streamer interface.