4 new technologies to keep in mind

Hyper-automation is on everyone’s lips. The “hyper” prefix suggests that the current state of automation should be even faster.

This is done so that companies can not only follow, but also anticipate technological changes and their use in their sectors of activity. If companies aim for total automation—powered by technologies such as artificial intelligence (AI), machine learning (ML) and robotics (RPA)—they will have to go through the digital building blocks needed to automate tasks and create a data-driven culture. and their optimal use.

This is not just a technical issue, but a global vision, the benefits of which can have direct implications for the functioning of society. In the context of the Great Retirement, leaders had to explore what promotes employee loyalty. According to the Pew Research Center, one of the two main reasons for this mass exodus is the lack of promotion opportunities. Hyper-automation breaks this deadlock by moving from low-value to high-value work, thus paving the way for greater participation in the organization’s success.

So what new technologies should be followed?

#1: Low Code

Low-code platforms allow you to quickly and easily build applications using visual design elements, avoiding costly and time-consuming custom coding. This helps accelerate the delivery of applications such as business process management (BPM), enterprise content management (ECM), and case management tools as needed.

This technology actually lowers the technical barrier for those who need the flexibility to customize their applications. It also reduces the burden on overburdened IT departments, which can then focus on more strategic projects. In addition, low-code technology significantly shortens development cycle times, allowing you to design faster and achieve value for money.

#2: Process Analysis and Process Discovery

Process mining, which can be translated as “process research”, is an analysis that uncovers current processes using the data that flows through their workflows to create new models. The second technology, on the other hand, answers the following question: how processes happen, and combines digital and human to optimize interaction.

These two technologies, used in a correlated way, simply allow you to extract useful information about the history and potential of processes, and in an exhaustive way. It also provides a complete view of what’s going on and potential bottlenecks, and prepares employees and businesses to better deal with outside forces.

#3: Intelligent Document Processing

Document Processing uses the combined power of machine learning, optical character recognition (OCR) and artificial intelligence to unleash the power of content and deliver it to the right person at the right time.

This technology automatically finds and extracts important data from incoming documents and accurately captures the data, especially in unstructured formats, to ensure efficient transmission. This speeds up the capture process and reduces manual input errors.

#4: Cloud ERP for Business

Cloud hosting moves software from a physical server to a virtual server. It offers employees secure and scalable access to the information they need. This powers the hyper-automation engine, placing all the core technologies in a decentralized space so they can integrate and interact with each other. It also allows data to be shared between different solutions, upgraded or downgraded according to the needs of the company. This opens the way to true agility.

The benefits of hyperautomation are clearly visible in how it improves processes, but not only. It also creates an improved experience for those involved in the process (employees and customers). If companies are always striving to develop their activities, it is important to predict and update internal processes in order to remain competitive and attractive. Implementing these technologies – according to the needs of the structure – is a long-term investment that needs to be made quickly so as not to be left behind.