At a time when technological developments are very disruptive, have an enormous impact on society and their development is astonishing, it is difficult to predict what trends will be in the coming years. What seems certain is that the application of the various technologies that we can relate to the concept of hyperautomation as a whole will be one of the best managed highways, with artificial intelligence as an exponential accelerator.
Companies are increasingly investing in innovation and new technological trends seeking operational excellence. This distinction leads to cost savings, providing a better service to its customers, and thus reaching the objective before its competitors, with the competition. This objective can be achieved by streamlining, improving and streamlining the organization’s processes and operations.
For this reason, the Spanish multinational Stratesys, the original digital center between Europe and America, has made predictions of what will be the four hyperautomation trends that will prevail in the coming months:
There are many options to streamline processes and tasks, however, the current AI revolution makes cognitive automation the only option in the medium to long term. We’re talking about technologies that rely on machine learning to automate tasks that could previously be performed by humans, such as interpreting natural language, analyzing images, making decisions and solving complex problems. With this, algorithms and learning technologies emerge to mimic human cognitive capabilities, automate and improve efficiency and decision-making when analyzing large amounts of data, identifying patterns and trends.
Intelligent virtual agents
When thinking of an assistant capable of simulating human interaction and providing a natural user experience, we think of intelligent virtual agents. These assistants rely on artificial intelligence, primarily natural language processing (NPL) technologies, to answer questions and perform tasks on behalf of the user. Until now, the goal of a virtual assistant was to make things easier for users by automating everyday tasks and providing relevant information. Currently, the objective is much broader, helping the user in any aspect, from writing or synthesizing a document, to performing specific actions in transactional systems. These new assistants are supported by large, properly trained and delimited language models, allowing us to have unbeatable and unimaginable virtual assistants until recently.
In recent years, “hands-on mining” has gained importance in the market, but in recent months many large organizations have chosen to know the reality of their operations, and take advantage of powerful tools with great capacity for analyzing these operations. .
We are in a moment of uncertainty in many aspects, and operations are affected by many factors, both internal and external to the organization, so it seems clear that it is the right time to bet on technology. To be more competitive at all levels, we must know our areas of improvement as an organization and how we can improve on them. Today, those companies that don’t want to go out of date need a transformation that will help them move towards a “smart enterprise”. That’s when practical mining tools can bring great value.
Like in-process mining, there are other concepts such as Do-It-Yourself or Citizen Developer that have gained relevance, but in recent months, when no-code and low-code development platforms have gained a certain degree of maturity , in terms of competence, professionalism and skill, which generates the necessary confidence for an organization to decide to create a framework that allows its users to be independent in the development of their own applications. Precisely for this last reason, it will be essential in the coming months to establish a governance and control framework for these platforms, in order to reduce IT costs, and provide flexibility, autonomy and agility to the business, but at the same time control over architecture, risk, investment and security.