Automation will save the labor market if it is put in the right hands. Digitally transformative technologies have become widely accepted by business leaders as a means of boosting productivity, similar to the industrial revolution. However, given the development of AIs and automation technologies by the most crucial technology managers of the world, they risk being unavailable to the average end-user.
For ordinary users to use efficient software devices, a new solution to the existing paradigm of technology is needed, which is so complicated and streamlined that the average person can never understand its internal workings. To bring workers to work as efficiently as possible when profiting from a completely restructured world of work, "low-code" automation may become an easy way to make people work with technology confident.
The devil you don’t know
Overall, market executives are positive regarding emerging technology, and automation is no different. A recent report, commissioned by Pod Group, shows that automation in the C-subject is overwhelmingly seen as a positive thing by business leaders in the light of the Covid-19 pandemic. The study found that 91 percent of decision-makers feel that the pandemic generates a new surge in job automation. Although nearly three-fourths of corporate leaders believe that automation helps employees to meet their potential and aspirations, this drive for automation is not supported in 39% by a clear business strategy suggesting a connection between top-level ambitions and the actual implementation of automation technologies.
In reality, concern over workplace automation may escalate due to the pandemic. In contrast, the plan to automate while soon as possible to improve efficiency persists as others become unemployed or furloughed. This may contribute to more demonization of AI devices as 'worker stealers' and portray them as an insurmountable challenge to people who have been out of work for months and believe they have to contend with machines to earn back their jobs. The Wall Street Journal also reports that software employees in the US are much more anxious about losing their employment to automation than other sectors, with 67% of tech staff worrying about workplace cuts relative to 44% in other areas. This may suggest that AI and automation are more likely to be perceived as a danger after first-hand witnessing their mind-boggling capabilities.
To quench this fear, the technology dialogue will be reframed. If automation may be interpreted as a resource to improve vital human skills and competencies and is removed from the ground-breaking computer technology domain, therefore these innovations may be put to effective use for everyday working people.
Drag and drop automation
An API-based low-code automation framework sees this rebranding of automation as a critical move to turn the workplace into digital transformation. "Look at what spreadsheets did for office staff," says Waldron, "they easily monitored people who use arithmetic and to sort out extremely sophisticated algorithms to explain complicated patterns and improvements but only with a spreadsheet." What the spreadsheet does for abstract mathematics, Tray.io is attempting to do for automation: "Imagine if people might immediately have a data engineer 's capacity, because ... "Waldron says. Connecting devices already common to frontline employees and encouraging consumers to "template data mapping between them" by simply drawing lines between systems, Waldron retains the kind of simulation that is essential to keeping staff happy with automation technology.
"Automation is something we all have to live with whether we want it or not," says Waldron, "if the company fails tomorrow what are you going to do? I believe once you can understand the fundamentals of data processing and simple programming principles, the universe is your oyster again. "The advent of technology in this streamlined setting helps people to adapt their current knowledge skills to a freshly digitized method and simplify aspects of their job work without needing to obtain a degree in computer science. People who have lost their work due to COVID will instead transfer their current experience and skills to a new distribution style by utilizing the resources and skills they have acquired. "When you can abstract the bulky engineering aspect of the issue and render it look like building blocks, then you're encouraging somebody to solve a problem they 're already well informed of in their job," says Waldron.
Building blocks and digital jobs
To support automation, raise the workforce and economy out of a post-pandemic recession, new technology awareness must be rendered more available, quicker. Giving employees the resources they need to develop a job they already know how to do, and optimizing "all these people at home with free time," Waldron notes, is a crucial move towards normalizing technology for everyone.
Without familiarizing employees with automation and encouraging them to accept it as a means of making our lives simpler, more advancements in this development won't be useful. Going back to basics might be precisely what technology wants to transform the future positively.