By Donna Knapp It’s interesting to see how members of different communities can view a practice so differently. That is currently the case with problem management, the practice of identifying, removing, or mitigating the cause or contributing factors to service disruptions. For the most part, the IT service management (ITSM) community recognizes the value of problem management. They may admittedly struggle to find the time or resources needed to perform the practice. Or they may find it difficult to justify the actions needed to introduce permanent solutions identified as a result of the practice. But they, for the most part, value the practice. Conversely, some members of the DevOps community view problem management, or more specifically, root cause analysis, as a complete waste of time. We’ve found that there are a few common reasons that on the surface make sense, but that have counterpoints worth considering. One reason for the pushback is that the practice of root cause analysis i

Artificial Intelligence (AI) is on the move and the race is on.    In previous years, and for the most part even today, AI has been dominated by the worlds high tech companies like Google, Microsoft and Amazon.  Regardless of where you work or the size of your business, the industry is starving for more information and true knowledge management.  AI goes beyond knowledge management and moves us into knowledge engineering. As found in an  MIT Technology Review article , Microsoft has its own AI-powered cloud platform.  You may have heard of Azure.  This team is joining with Amazon to offer Gluon.  It is an interesting name. I don’t know its origin, but it is essentially an open-source deep-learning library. Gluon is supposed to make building neural nets – a key technology for AI that crudely mimics how the human brain learns – as easy as building a smartphone app. It is no longer just a high-tech game.   With the onslaught of cloud services, any/all service providers (includin