5 Trends Impacting the Future of Machine Data Intelligence
For all the promise of IT, the underlying infrastructure that most applications rely on today isn’t all that smart. Most IT infrastructures issue a continuous stream of alerts and alarms that do more harm than good. The volume of noise being generated about minor events winds up making IT administrators inured to the point where they start to suffer from IT alarm fatigue.
To help with the signal-to-noise ratio that IT administrators are now subject to, Perspica this week launched Incident Replay, a software-as-a-service (SaaS) application that combines machine learning algorithms and predictive analytics to identify issues and make recommendations on how to actually improve the performance and manageability of the overall IT environment.
Perspica CEO Dan Maloney says Perspica creates a knowledge base from the data collected via machine learning algorithms. The analytics application then makes use of that data to analyze all the changes being made to the application infrastructure stack. The result is an approach to IT incident management that relies on heuristics, making it simpler to identify root causes of problems both before and after they occur, says Maloney.
Maloney notes that most enterprise IT environments today are simply too complex for the average IT staff to manage. Predictive analytics, coupled with machine learning algorithms, provides a means for IT organizations to even the odds.
The challenge, of course, is that most IT organizations don’t have the budget required to invest in analytics and machine learning algorithms on their own. But as part of a cloud service, those technologies suddenly become a lot more accessible by everyone.
