IT, Heal Thyself

New Analysis Systems Can Help Organizations Reduce Tech-Related Downtime


IT is the lifeblood of many businesses, meaning even a little bit of downtime carries a high cost. In fact, 98 percent of organizations report that a single hour of IT downtime costs at least US$100,000, according to a 2019 survey by Information Technology Intelligence Consulting. For more than one-third of respondents, an hour of downtime costs US$1 million or more.

To better detect—and prevent—possible downtime, more organizations are embracing “self-healing” or “self-driving” IT projects, which use artificial intelligence (AI) to analyze how IT systems typically function and pick up on pattern deviations before downtime occurs, the Wall Street Journal reports. Such projects are possible because of more advanced algorithms, increased computing power, and richer network and IT infrastructure data.

“While previous years have focused on individual algorithms doing things better than individuals, 2019 is about collections of algorithms starting to collaborate on complex tasks,” SAP innovation evangelist Timo Elliott told Forbes.

At Adobe, one example of AI in action is the system's ability to detect when an employee's network is close to crashing and proactively free up computing or storage capacity to avoid the crash. “We wanted to look at issues that we could automate and get the human element out,” Adobe CIO Cynthia Stoddard told the Wall Street Journal. For Hitachi Vantara, implementing AI-fueled sensors and real-time analytics across the company's data centers saved the company 38 percent in data center costs.



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