Categories: Agile, Collaboration, Communication, Digital, Disruption, Diversity, Innovation, Leadership, Project Management
Digital transformation encompasses cloud adoption, rapid change, and the implementation of new technologies. To keep pace with this rate of change, enterprises, must move fast, break things into smaller chunks and embrace “fail fast “approach – Agile, DevOps enables just that.
A couple of years ago, I authored an article on Agile and outsourcing , how our team embraced a software development approach under which requirements and solutions evolved through the collaborative effort of self-organizing and cross-functional teams and their customer/end users. Agile aimed at building a “potentially shippable product” which is releasable anytime.
Over the time we evolved from Agile to DevOps ( Development + Operations ) is a software engineering culture and practice that aims at unifying software development and software operations takes Agile a step forward to ensure that the team can build, test, and release software faster and more reliably to production.
What happens when we deploy our software to production? To ensure availability we typically own about 10 -15 monitoring tools, which means millions of alerts and events are generated for IT operations to analyze, correlate, prioritize and act on.
AIOps - Artificial intelligence for IT Operations. It is about algorithms augmenting and assisting humans with IT operations, a step beyond DevOps. According to Gartner by the year 2030, upto 80% of the routine work performed by IT Operations can be eliminated because of collaboration between humans and smart machines. AIOps uses smart algorithms (powered by AI and ML) in which machines solve known IT issues and intelligently automate repetitive jobs. The output is a virtuous circle of continuous, insights, innovation and improvement.
So how will the #futureofPMWork look like in the era of AIOps to drive this virtuous circle of improvement?
So what are the changes that we need to make to embrace AIOps ?
Correlate IT Performance with business value: IT OPs have traditionally been technical, not speaking the language the business understands. With most of the noise out of the way, ITOPs now can be more business aligned. In the #futureofPMWork, Project managers will plan and build IT KPIs which can be correlated to business objectives, which could be cost reduction or risk mitigation during the planning phase of the AIOPs implementation.
AIOps extends human ITOps: IT OPs professionals suspect that AIOPs would mean massive change to their career. Intelligent, self-healing IT can reduce the IT administrators traditional TODO list, but it also ensures a more high-end activity like IT operations model and strategy, building scalable systems, rather than chasing down noisy alerts and doing redundant tasks. In the #futureofPMWork, project managers would need to coach, mentor and manage ITOPs team to drive the point that with AIOPs implemented, humans are at the strategic decision-making role rather than being caught up with day to day maintenance.
Changing IT culture for better-the AIOps mindset: Traditional IT OPs are mostly in the reactive state, monitoring services NOCs are siloed, passing on issues over the wall. This is where AIOPs takes DevOps a step further. Instead of blindly passing the issues to the L2 support team, the ITOPs now knows where the problem is and who the owner is. Since AIOPs brings together the ITOPs, development team together, it is critical to plan who has the overall ownership. For #futureofPMWork this starts at the discovery and defined in the planning phase of an AIOPs strategy.
Manage talent and skill upskilling: ITOps will need to develop skills like auditing, detecting security failure rather than operational failure, application technologies to measure impact on IT ecosystem. Project managers would therefore have to lay down a talent and skill management strategy to upskill the ITOps personnels.
AI Ops will transform the way IT Ops operates, from keeping “the lights on” to delivering business value. How ?? Extending the human-human collaboration to human-machine collaboration: A transformation from Agile, DevOps to AIOps to ???
What are your thoughts on where the IT Operations would be moving towards in #futureofWork ?
How will #futureofPMWork shape up in the future with AI and automation ?
Would love to hear the view from the community, do share them in the comment box below.