In the digital age in which we find ourselves, all businesses seek to distinguish themselves at an operational level, showing apparent efficiency and effectiveness, reducing costs, increasing productivity or reducing time-to-market through different tools.
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5 Trending Hyperautomation Technology
From Stratasys, they forecast what will be the five trends in hyper-automation that will help us the most in the short term in that search for operational efficiency.
Task Mining or Task Mining
We usually talk about Process Mining or Process Mining; however, in the short term, it is much more helpful for us to quickly improve the efficiency of a process by identifying which tasks are carried out within it, discovering which of them can be digitised, automate or optimise by applying Lean techniques, for example.
These tools allow us to reduce the investment required through classic models based on interviews with different stakeholders.
Desktop Process Automation
In all the already digitised processes, there are usually a series of tasks that a user executes in his job procedurally or repetitively, so they can be automated, reducing costs, freeing up capacity for functions with more excellent added value, cutting delivery times and minimising errors.
“We’ve all heard of Robotic Process Automation (RPA), which tends to have a broader scope by working with processes that affect multiple users, departments, or applications, and typically runs on a remote server. Both RPA, RDA, BPM and other automation tools fall under the umbrella of Digital Process Automation (DPA)”, Eduardo Jiménez, executive manager of Stratasys, points out.
Artificial Intelligence and AIOps
Artificial intelligence can help us automate specific tasks for which decisions must be made. Although in all cases, AI will not be able to make the right decision on its own, it will at least simplify the decision-making process, reducing dedicated time and optimising the business process.
Through AIOps, we will be able to deal with one of the biggest problems of Artificial Intelligence, which is the correct management of the life cycle of algorithms and their performance. In addition, we will be able to simplify the arrival of these algorithms to automated processes with other tools.”
Some of the business processes require interaction by different teams, with the complexity to combine rhythms of both and establish points in common that this requires.
For this reason, a virtual assistant, such as a chatbot or a voice bot, can help us quickly and efficiently channel communication between customers and suppliers, users and support teams, etc., avoiding dependency and saving time for the user.
Today, there are still many processes in all organisations that do not have a structure and are therefore difficult to follow and monitor. For this reason, this type of low-code development tool allows us to create applications in record time that help structure these processes digitally and, therefore, provide organisations with the ability to monitor these processes.
In addition to all of the above, there is a cross-market trend that takes us to levels of abstraction never seen before, in which organisations project themselves towards a no-code world.
They intend to give the leadership of their transformation to their DigitalOps teams through the modelling and monitoring of their operations with systems that allow the creation of a complete Digital Twin of said organisations to manage and digitise the execution of tasks and processes of all kinds.
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