Let's have a look at tech trends, transformations, and how we can gain more from it. Digital transformation is a global trend. We have accepted it. Companies who are not facing and embracing the digital change will face low productivity, and survival itself is challenging.
While implementing automation, policymakers and organizations need to think about solutions beyond a low level of basic automation while keeping workers. That means the automation level, where both the workers and machines contribute to the workforce, delivers high productivity and returns.
What is Hyper-automation?
Hyper-automation refers to the use of advanced technologies in our organizations to replace some tasks done by humans. It is the level of automation in an organization. How far an organization can identify and automate the jobs will gain more than 100% productivity if automated.
Hyper-automation does not only refer to tasks and processes that can be automated but also to the level of automation. It is seen as the next significant phase of digital transformation.
According to Gartner, a leading research and advisory company is a front runner in this hyper-automation. They suggest that organizations evaluate the level of automation and technologies that enable efficiencies in business processes and move on the next.
More automation on specific tasks can lead to multiple times of productivity, and humans can do better-thinking jobs that these repetitive tasks. This automation support machine learning, and artificial intelligence can take the business processes efficiencies.
So check out the level of automation, this will be the next level orbit of growth.
So what is hyper-automation in worker productivity.?
It is the extension of the automation of legacy business processes beyond the boundaries of individual functions. By combining mulitple technologies, hyper-automation enables the automation of virtually any repetitive task performed by workers. It even automates dynamically discovering business processes, and creating right robotic process to automate them, that leads to high efficiency.
Hyper-automation is not about automation is not intended to replace humans entirely. Through this approach, humans are freed from mundane low-value tasks that are repetitive and low skills.
With automation in place, overall total productivity factors are drastically improved, thereby high employee performance, high returns, and customer experience.
One of the critical features of measuring hyper-automation is the ability to machines along with employees. The goals of hyper-automation are not replacing, but to increase the productivity of fellow employees.
Companies can move on to the next wave of technology adoption, such as a low level of automation. This level can be in machine learning (combines with hyper-automation and advanced computing to enable smart buildings, smart factories, and smart offices to become more intelligent—democratization of technology to meet individual needs.
Integration is another significant characteristic of hyper-automation. To achieve the scalability of operations, different automation technologies must work together seamlessly. Careful process planning, implementation, and improvement are achieved through business process management.
Gartner believes that trends and technologies do not exist in isolation but mutualized fashion. In an ever-changing world, innovation leaders must understand that technology is changing people's lives and that this trend is driving and driving the continuous digitization of businesses.
So continuous innovation harnesses technology to transform the business and respond to the disruptions that affect it.
How policy makers, job providers and skill providers can facilitate to this?
Upgrading the skills involved in the spread of AI and data analytics is a strong need and trend highlighted by Gartner.
The approach of identifying the skills gaps and upgrade by "up-skilling" or reskilling will not reduce a worker's employability to being displaced by the new wave of automation.
Our workers need to develop new skills to take on very different kinds of jobs.
During the fast pace of technology adoption, possibly in various industries, governments and private organizations can facilitate the training programs to coexist people and machines to work together to increase productivity.
Not just for engineers!.
Even non-technical people can be trained in these areas. The new technologies and applications can be imparted to non-technical people, where they will have to know how to create, manage, and operate low-code and no-code applications.
Guidelines
Government and policymakers can evaluate the level of automation and play a key role in technology and automation by industry. This digital transformation can speed up local and national ranking in productivity and national competitiveness in the global arena.
Our policymakers can have reasonable control in providing guidelines on the ethical and legal implications while progress hyper-automation policies.
In summary, automation and tech advancement will bring both incremental and disruptive change in work and business. The 'future of work' is going to be in this line. During business recovery and back to growth, it is our institutions' resilience and visionary in building the capacity, anticipate and be proactive in providing the readiness for future of work and thereby lot of jobs and business.
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