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How Hyperautomation is transforming tech jobs

How Hyperautomation Is Transforming Tech Jobs

A while back I wrote about how hyperautomation is streamlining complex business workflows. It’s a field in which the DSS team, which has low-code platforms like OutSystems in its toolkit, has accumulated quite some expertise.

Hyperautomation’s ability to cut costs, reduce errors, boost efficiency and free staff for more sophisticated functions is appealing both to DSS and to our clients, but it also has implications for my area, talent recruitment and development. Here’s where we’re starting to see its effects on tech jobs, and what we can expect in the future:

Perhaps the most obvious change is the increase in demand for professionals specialising in robotic process automation (RPA), machine learning, artificial intelligence and natural language processing. If you’re a dedicated RPA developer, analyst or project manager, for example, your skills are in hot demand.

The impact of hyperautomation goes beyond creating new roles, however. Traditional tech roles are also evolving, requiring professionals to adapt and acquire additional skills. For instance:

  • Software developers are increasingly expected to understand and implement RPA tools and AI algorithms alongside their regular coding tasks.
  • Cloud teams are upskilling to integrate cloud solutions with RPA tools, enabling seamless automation across various cloud platforms.
  • Systems administrators now have expanded responsibilities, to ensure the smooth operation of RPA bots and manage system infrastructure, including performance monitoring and troubleshooting.
  • Network teams must ensure that network infrastructure can support the increased data flow resulting from automation, with a focus on data security.

To meet the growing demand for these skills, organisations are now investing in training and development programmes to upskill their existing workers. Collaborations with educational institutions and online learning platforms are also being established to build a talent pipeline for these roles.

What next? Hyperautomation has a promising future. Expect increased job opportunities in this field and demand for skilled professionals in RPA, AI, ML, and related areas to grow.

DSS is a trusted advisor to clients who want to stay on top of the shift to hyperautomation and especially to understand what it means for their own software projects and the people who work on them. Got questions? Get in touch any time and we’ll make it our business to find you some answers.

By Kane Landers, Director of Talent.


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