*By Otavio Argenton
We are living a historic moment in the technological evolution of companies. To give you an idea, according to the Digital Transformation Index Brazil (ITDBr), developed by PwC Brazil and the Innovation and Digital Technologies Center of the Dom Cabral Foundation (FDC), 20% of the companies interviewed point out the Artificial intelligence (AI) as the main frontier technology.
This scenario highlights a growing commitment by corporations to invest in innovation, but it also raises an alert about the need for an effective strategy to achieve truly significant results.
In this sense, many executives still feel disoriented when it comes to digital evolution, and a promising path that is gaining strength is that of technology convergence.
This is because the real driving force behind this movement is not just AI, but the integration of various technologies and methodologies, such as Machine Learning (ML), Deep Learning, Computer Vision, Natural Language Processing (NLP) and Big Data. The combination of these solutions has transformed the way we live, work and relate to technology, and has even redefined the boundaries of what is possible.
Transformer Model
A clear example of technological convergence is the Transformer Model, which uses Deep Learning and Big Data to apply advanced mathematical techniques and identify how data influences each other in subtle ways. This innovative approach has been a game-changer, enabling models to achieve impressive performance in tasks such as machine translation, summarization, and free text generation.
With this model, organizations can evolve their work dynamics with a digital collaborator, for example, capable of assuming a range of responsibilities based on repetitive and subjective parameters, favoring the delivery of tasks that do not require high creativity or complex decision-making.
The convergence of technologies as an agent of transformation in society
There are several sectors that can benefit from the convergence of technologies, such as healthcare (with more accurate diagnoses and personalized treatments), industry (with automation and failure prediction systems), and the financial sector (with market forecasting and fraud detection models).
The real difference, however, is in understanding how technologies such as Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Big Data, among others, can be applied strategically to boost business.
For this potential to be truly explored, it is essential to have a specialized IT company that is capable of understanding the pain points, challenges and specificities of each company. Only with a personalized approach that considers the market context, the organization's digital maturity and its long-term goals will it be possible to transform these technologies into competitive advantages, optimizing processes, increasing efficiency and generating value in a sustainable way.
Furthermore, it is essential to map the market, be aware of trends, perform iterative tests and, above all, rely on the expertise of professionals who have a proven track record of success. These experts, with practical experience and in-depth knowledge of the sector, can point out the most promising path, minimizing risks and maximizing results.
Therefore, bringing the convergence of technologies to the center of the discussion is urgent, as it broadens the understanding of the processes that surround companies and positions them in their ideal digital evolution process. After all, the digital revolution is not a promise, it is today, the now, and it is up to those who have the power to make decisions to take advantage of it in an intelligent, ethical and collaborative way.
*Otavio Argenton is Country Manager at SoftwareOne Brazil, a leading global provider of end-to-end solutions for software and cloud technology.
Notice: The opinion presented in this article is the responsibility of its author and not of ABES - Brazilian Association of Software Companies
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