Kefreen Batista, Vice President of Technologies at Globant, discusses how robotics can transform operations for the better.
Robotics is transforming operational efficiency in a variety of industries, paving the way for a more automated and efficient future. When we talk about this subject, it is very common for previous generations to remember Rosie, from The Jetsons, a classic animation of the twentieth century.
The character is characterized as a humanoid who did all the household chores and related to the futuristic family in the cartoon, as if he were a real human being.
Although technology is not as autonomous as it is, full of mannerisms, ideas and attitudes, some of these aspects are similar to what we live today, only in a slightly different way.
To contextualize this observation, two characteristics are highlighted to define the functions of robotics: that of reducing risks and increasing the scalability of processes. These systems help develop processes with the objective of mitigating risks of process criticality due to human error, in addition to developing activities that go beyond our capacity, with more precision and at scale.
Robotics can be applied in various sectors. In the health area, for example, where automation helps a person with a chronic disease to remember to take medicine every day through a simple application or technology operating to support the doctor in decision-making during a consultation.
In manufacturing, robots automate production lines, increasing efficiency and reducing errors. While in the logistics sector, robotic systems optimize the movement of goods, ensuring faster and more accurate deliveries. Finally, in customer service, chatbots and virtual assistants provide immediate support, improving the user experience.
Within what we conceptualize as robotics, the goal is always to generate an impact on results in the face of the complexity and feasibility of the processes. With the support of AI, systems can be operated through large-scale language models, the LLM, as well as smaller and leaner models, the SLM, which are focused on deeper knowledge of each sector of a company, thus enabling the naturalness of the interaction between human and machine in problem solving.
The success of these services, however, is evaluated from the point where the user does not remember that he is using technology in operations, ensuring maximum naturalness in these processes. In addition, it is important that ethics and transparency are guaranteed, which can be defined according to agreement between the participants, and that strict policies are applied to ensure that all technological solutions respect the privacy and rights of users are adopted.
As we dive into the technological revolution, it is clear that the junction between AI and robotics is paving a path towards efficiency, safety and ethics converging in harmony. Even if this current model is not a ‘Rosie’, which solves problems with such a personality, we are on a positive technological path that brings effective solutions to our daily lives.
This rise still promises significant transformations, with profound impacts that optimize several sectors of the market. However, these systems must be operated with data transparency, ensuring that this progress is underpinned by trust in and respect for core human values.
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