Monday, 20 May 2019 11:07

An AIOps Mindset - How Australian Technologists Can Become Agents of Transformation

By Simon Horrocks
Simon Horrocks, AppDynamics Simon Horrocks, AppDynamics

SPONSORED BY APPDYNAMICS. According to our latest research, innovation within Australian organisations is being stifled by a lack of ‘Agents of Transformation,’ a new breed of technologists primed to drive innovation and enable companies to thrive in the face of rapid technological advancement. Worryingly, today, just four percent of Australian technologists possess the personal skills and attributes needed to drive innovation within their organisations.

The concern is being felt across Australian technologists, with less than one-fifth of feeling confident that their organisation can keep up with the rapid pace of technological advancement. Particularly in Australia, 88 percent of IT professionals think their organisation lags behind the most forward and innovative IT team in their country in terms of skills, qualities and knowledge, and 46 percent see themselves lagging more than five years behind.

At the same time, the volume of data in IT ecosystems is increasing, with many professionals finding it challenging to manage and simply focusing their attention on “keeping the lights on.” Some forward-thinking businesses have started automating tasks in a bid to help their teams free up some bandwidth for innovation, automation alone is no match for today’s increasingly complex environments.

So how do we empower Australian technologists to become ‘Agents of Transformation’ and ensure their organisations are ready for unprecedented application and data growth while driving innovation?

What is needed is a strategy focused on reducing the burden of mounting IT operations responsibilities, and surfacing the insights that matter the most so that businesses can take the right action.

Forward-thinking Agents of Transformation are applying an ‘AIOps mindset’ to address the challenge of application environment complexity and stay ahead of the curve. This approach leverages advances in machine learning and artificial intelligence (AI) to proactively solve problems that arise in the application environment.

Why AIOps?

Much like the early stages of Cloud and DevOps, there are many definitions and explanations for AIOps, but essentially it is a step-change towards an IT culture that embraces Machine Learning (ML) and Artificial Intelligence (AI) to automate the identification and remediation of common application or technology issues. It can’t just be one product that enables an AIOps mindset, but the culmination of different monitoring, analytics and automation solutions.

Worryingly, 97 percent of Australian IT professionals said they had experienced some form of a service outage in the last six months, yet only 15 percent plan to make AIOps a top priority for their business by 2020. Adopting an AIOps strategy will allow businesses to stop using legacy tools and start using monitoring and analytics tools to proactively detect emerging business-impacting issues, optimise user experience, and drive business outcomes like revenue and conversion.

Technologists have relied on the mean time to repair (MTTR) metric to evaluate the overall health of their digital services. The longer it takes to resolve an issue, the greater the potential for it to turn into a significant business problem, particularly in an increasingly fast-paced digital world. However, most organisations are grappling with a high average MTTR with it often taking a full business day to resolve a system-wide issue. This has the potential to cost companies hundreds of thousands of dollars in lost revenue - implementing AIOps will eliminate this revenue loss.

Address Cultural Barriers to Successfully Implement AIOps

Despite increasingly complex application environments, few global IT leaders are prioritising the development of an AIOps strategy. While IT leaders have expressed a desire for a more proactive approach to monitoring, there’s still plenty of work to be done. The first step is clear: IT leaders must prioritise the development of an AIOps strategy and related technology.

From there, Agents of Transformation need to address the cultural barriers preventing further AIOps adoption. For companies to successfully implement digital transformation strategies, like AIOps, they first need to get the culture right. It starts with a change in mindset that is helmed at the leadership level and then followed by the implementation of the right tools and processes. These foundations are key to company-wide adoption.

AIOps strategies help Agents of Transformation manage and process their data in an increasingly fragmented landscape. In terms of innovation, companies need to proactively avoid revenue-impacting outages and performance issues across their digital services by adopting AIOps-first strategies. This will fundamentally reshape the way modern enterprises operate.

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