The World Economic Forum estimates that by 2025, 463 exabytes of data will be created each day. That’s the equivalent of more than 212 million DVDs per day. To deal with the ever-increasing torrent, data centers are looking for new ways to address four key objectives: maximizing uptime, optimizing energy usage, detecting potential risks, and defending against cyberattacks. Making use of machine learning (ML) technology is high on the list of potential solutions.
ML and AI might seem like a no-brainer, yet technology executives have their reasons for proceeding with caution. These include uncertainty around return on investment (ROI), complicated policies around data sharing, and a lack of awareness and support from upper management. However, given how reliant businesses are on data, tech leaders can ill afford to overlook the importance of ML and other AI applications, especially when it comes to maintaining uptime.