Become the "Automator," Not the "Automated"
June 23, 2017

Mark Levy
Micro Focus

Share this

"Become the Automator, Not the Automated." This is a phrase that has been used by many throughout the last several years and was first coined by Glenn O'Donnell, an analyst for Forrester Research.

While it's a simple enough phrase, it speaks directly to how today's organizations and IT teams must innovate to remain competitive. A critical aspect of innovation is acknowledging the digital transformation of businesses. The move to digitalization enables organizations to more effectively unlock the power of information technology (IT) to fuel and accelerate business innovation. It is a competitive weapon and a survival imperative. According to Forrester, by 2020, every business will become a digital predator or prey (The 2016 Guide To Digital Predators, Transformers, And Dinosaurs Benchmark: The CIO Digital Business Transformation Playbook by Nigel Fenwick, May 10, 2016). This same theory applies for those working on IT teams.

With digital transformation, IT has become the deployment pipeline that delivers digital assets to the customer. The faster IT teams can deliver these assets, the bigger the competitive edge the business has over rivals. However, it's important to note that this new role for IT is causing major changes. Organizational structures, processes, and technology are all going through a major transformation to support this "Need for Speed." Modern IT practices such as DevOps are redefining how organizations and teams are structured, and automation is redefining the types of skills and jobs needed to support the deployment pipeline. For those on IT teams, take notice and be aware of the changes as they will certainly impact your career. Understanding and embracing this change will give you a better path to future employment in this new world of IT.

The deployment pipeline is the end-to-end process of taking a business idea and delivering it as value to the customer. Long lead times, waste, and inefficiencies are obstacles to delivering at the speed the business requires. Most jobs that provide manual services within the deployment pipeline are prime candidates to be automated. Some tasks can't be automated but most tasks can and will be automated.

Losing jobs to automation is nothing new. Jobs have been lost to machines in the past, but as old jobs are destroyed, there is potential for new jobs and roles to emerge. Believe it or not, workers are more likely to benefit if they perform tasks that are complemented by automation.

For example, if you are a system administrator, learn how to design and develop the automation policies and scripts that support the deployment pipeline. If you are a quality assurance test engineer, start working with the developer to design and deliver the automated test scripts. Leverage your domain expertise by updating your skills to support the automation of IT. Automation will replace people in performing routine, codifiable tasks, however, when problem-solving skills, adaptability, and creativity are required, people will still have the advantage.

Automation also enables lower-skilled IT workers to perform complex tasks. Software delivery was once the bailiwick of highly skilled experts, however, with automation, those experts can be redeployed to create actual customer value. Lower skilled, less costly resources can be leveraged to deploy the software.

For example, one of the largest general insurers in the UK was deploying three releases a day for their main retail application. Highly paid and highly skilled Oracle DBAs and software developers were spending up to 50 percent of their time deploying releases into pre-production environments. The demand for releases kept growing and the team was reaching the point where the frequency of releases would not be manageable under the current process. To solve this problem, the IT delivery team acquired and implemented an application release automation solution and created a "single click" automated deployment which enabled release managers, and not Oracle DBAs, to perform all release deployments. In this case, automation freed up valuable development resources to focus full-time on creating customer value for the business.

The digital transformation of IT is in progress and rapidly advancing. Organizations must automate across the deployment pipeline to deliver velocity. Take the initiative, embrace this change, and accept the challenge. And remember, become the "Automator" and not the "Automated".

Mark Levy is Director of Strategy, Software Delivery, at Micro Focus
Share this

The Latest

May 09, 2024

App sprawl has been a concern for technologists for some time, but it has never presented such a challenge as now. As organizations move to implement generative AI into their applications, it's only going to become more complex ... Observability is a necessary component for understanding the vast amounts of complex data within AI-infused applications, and it must be the centerpiece of an app- and data-centric strategy to truly manage app sprawl ...

May 08, 2024

Fundamentally, investments in digital transformation — often an amorphous budget category for enterprises — have not yielded their anticipated productivity and value ... In the wake of the tsunami of money thrown at digital transformation, most businesses don't actually know what technology they've acquired, or the extent of it, and how it's being used, which is directly tied to how people do their jobs. Now, AI transformation represents the biggest change management challenge organizations will face in the next one to two years ...

May 07, 2024

As businesses focus more and more on uncovering new ways to unlock the value of their data, generative AI (GenAI) is presenting some new opportunities to do so, particularly when it comes to data management and how organizations collect, process, analyze, and derive insights from their assets. In the near future, I expect to see six key ways in which GenAI will reshape our current data management landscape ...

May 06, 2024

The rise of AI is ushering in a new disrupt-or-die era. "Data-ready enterprises that connect and unify broad structured and unstructured data sets into an intelligent data infrastructure are best positioned to win in the age of AI ...

May 02, 2024

A majority (61%) of organizations are forced to evolve or rethink their data and analytics (D&A) operating model because of the impact of disruptive artificial intelligence (AI) technologies, according to a new Gartner survey ...

May 01, 2024

The power of AI, and the increasing importance of GenAI are changing the way people work, teams collaborate, and processes operate ... Gartner identified the top data and analytics (D&A) trends for 2024 that are driving the emergence of a wide range of challenges, including organizational and human issues ...

April 30, 2024

IT and the business are disconnected. Ask the business what IT does and you might hear "they implement infrastructure, write software, and migrate things to cloud," and for some that might be the extent of their knowledge of IT. Similarly, IT might know that the business "markets and sells and develops product," but they may not know what those functions entail beyond the unit they serve the most ...

April 29, 2024

Cloud spending continues to soar. Globally, cloud users spent a mind-boggling $563.6 billion last year on public cloud services, and there's no sign of a slowdown ... CloudZero's State of Cloud Cost Report 2024 found that organizations are still struggling to gain control over their cloud costs and that a lack of visibility is having a significant impact. Among the key findings of the report ...

April 25, 2024

The use of hybrid multicloud models is forecasted to double over the next one to three years as IT decision makers are facing new pressures to modernize IT infrastructures because of drivers like AI, security, and sustainability, according to the Enterprise Cloud Index (ECI) report from Nutanix ...

April 24, 2024

Over the last 20 years Digital Employee Experience has become a necessity for companies committed to digital transformation and improving IT experiences. In fact, by 2025, more than 50% of IT organizations will use digital employee experience to prioritize and measure digital initiative success ...