The 6 top machine learning trends


The complexity, as well as the number of active servers to manage, has increased significantly, resulting in a much larger amount of collected data to sort through and track. Despite the increase in instrumentation capabilities and the amount of collected data, enterprises barely use significantly larger data sets to improve availability and performance process effectiveness with root cause analysis and incident prediction. This field studies how to design algorithms that can learn by observing data, discovering new insights in data, developing systems that can automatically adapt and customize themselves, and designing systems where it is too complicated and costly to implement all possible circumstances (such as search engines and self-driving cars). Many organizations are finding that machine learning allows them to better analyze large amounts of data, gain valuable insights, reduce incident investigation time, determine which alerts are correlated, and what causes event storms – and even prevent incidents from happening in the first place.