The Rise of Artificial Intelligence for IT Operations
The inclusion of AI into analytic platforms can enhance IT operations
From the early days of IT operations, organizations have grappled with the challenges of understanding how well their infrastructure is performing in support of the business. They have used a plethora of tools to detect, manage and resolve problems that are causing disruption of services.
Some of tools included have been domain-based performance monitors, network monitors, application monitors, end-user response time measurement facilities, and more. However, with all these tools, comes a fundamental problem facing organizations – how to bring together information from the various platforms in the organization and correlate that information so that business services can be accurately monitored and managed.
For nearly two decades, software vendors and IT organizations were focused on the concept of Business Service Management (BSM). BSM was supposed to map IT components to the business services they supported and utilize dashboards to show how well those business services were running. Yet the promise of Business Service Management was never fulfilled because it was too ambitious for its time, too complex in its make-up, and suffered from deficient underlying technologies. In most vendor provided BSM solutions it was too hard to create and update service definitions, too rigid in how service data was collected and managed, and they relied on too few data sources for actionable business insight. The final nail in the BSM coffin was the fact that they were based on distributed system platforms resulting in one of biggest short-comings – the weak integration between metrics from distributed platforms with Traditional IBM systems within IT infrastructures.
However, with all these tools comes a fundamental problem facing organizations – how to bring together information from the various platforms in the organization and correlate that information so that business services can be accurately monitored and managed.
Read on to learn more about how the inclusion of machine learning processes into an analytic platform takes it beyond correlation on key performance indicators and evaluation of IT operations services and makes it truly self-learning.