Hyper automation has been the talk of the tech town, ever since Gartner rolled it out as one of the top strategic technology trends dominating 2020. The rapidly advancing terrain of technological infrastructure has allowed us to become reliant on bots and automation for the repetitive and mundane part of our business processes and hyper-automation is here to take it a step further. Let us find out how.
First, let us understand what exactly is hyper-automation?
Hyper automation is the merging of robotic process automation with artificial intelligence tools like machine learning that will help in mimicking the human chunk of a task. The aim here is to take automation to a whole new level by enabling robots to tackle high-level enterprise functions, including some that require a degree of judgment. Simply put, hyper-automation is automation with an additional layer of ‘intelligence’ integrated into the process to help augment the workforce by performing tasks in a more tangible and scalable fashion. It is like the perfect union of man and machine.
Hyper-automation is better than automation
Unlike traditional automation that relies on programmed instructions, hyper-automation renders robots the ability to think and make decisions. This means that tasks are optimally performed so that outputs can be produced automatically and run efficiently without human interference. The AI-powered toolkit automatically identifies optimal workflows and proposes an automation path where it deciphers patterns from processing unstructured business data and makes prospective judgments accordingly. Thus it results in self-adjusting, end to end automation of a function.
Why is it important to hyper automate your business?
With the advent of digitization, the amount of data has reached chaotic proportions and businesses are now taking a keen interest in processes that are beyond the confines of merely optimizing individual tasks. Here is where hyper-automation enters the picture along with its vast potential to improve business efficiency. In the constantly changing multi-optimized environment of business today, hyper-automation not only helps companies to remain ahead of the curve but also increases the level of sophistication required to streamline complex problems.
The role of machine learning in hyper-automation
It seems that machine learning, the poster child of artificial intelligence, will play a critical role when it comes to hyper-automating tasks. As we all know machine learning models use historical datasets to generate predictive models that enable businesses to obtain reliable, constructive decisions.
Therefore, it stands to reason that the addition of this technology with RPA will produce a wide spectrum of hyper-automation possibilities – ranging from simple automation to complex virtual assistants that will improve user experience and allow for intelligent decision making by machines.
Hyper-automation is set to completely change the face of business and revolutionize the workforce by actively capitalizing on innovative technologies and human capital. Let us look at some key advantages of adopting hyper-automation.
- Empowering your workforce- Opportunity to create a more productive workforce where the creative and strategic tasks are handled by humans and mundane ones by the digital workers.
- Boosting ROI – Increasing return on investment by accessing optimized analytics that ascertains if marketing efforts are positively impacting the business or not.
- Optimizing back-office operations- Intelligent digital workers are playing a defining role in catapulting all back-office support systems and providing a demonstrably faster, error-free, and more efficient alternative.
- Increase business agility- Nowadays, businesses need to be able to keep up with the evolving requirements. And hyper-automation is again here to save the day, this time by helping increase agility in real-time.
- Elevated customer experience- Hyper-automated customer engagement makes use of tools like natural language processing and text analytics to implement software like chatbots or voice bots that help in fine-tuning customer experience.
Security risks associated with hyper-automation
We have already established how crucial a role machine learning plays in hyper-automation but at the same time, it is also important to be aware of the recent increase in attacks against the ML-based systems. There are multiple research papers and open-source tools available in public space depicting the ease of attacks on ML systems.
This development amidst the ongoing digital transformation and inclusion of AI-powered tools will only enhance the degree of security threats. Needless to say, prudent security measures should be exercised to reduce the likelihood of these attacks on ML systems.
Hyper-automation will usher in a new era of business process transformation where the workforce is focused on more meaningful, useful tasks rather than getting bogged down by dull and repetitive ones. AI-based technologies used in conjunction with RPA will help in churning unstructured data into actionable insights and make the facets of traditional automation all the more powerful and all the more automatic. This digital transformation is already making a big splash across industries but to ensure proper exploitation of the possibilities businesses need to develop a clear path of action before hyper automating their operations.