IA Revolution: The Future of Business
Artificial intelligence (AI) is not a future promise, it is a present reality that is transforming the way companies operate. The ability to adapt immediately is essential to ensure competitiveness, and those who do not follow this change risk being left behind. Today, it’s not about predicting the future, but about acting now.
Bruno Januário, GenIA Service Line Manager at Softinsa / IBM Quantum Ambassador
In Exame Informática, March 2025
AI is already having a significant impact on sectors such as healthcare, finance, industry, retail, and even public administration, from central to local power. Companies and organizations that integrate these technologies increase their efficiency, reduce costs, and improve customer experience.
One of the most relevant aspects of this revolution is the emergence of small AI models. Unlike large models, which require massive computational resources, small models are more accessible, efficient, and adaptable. They allow smaller companies to also benefit from AI, without the need for large investments, being especially useful for specific tasks, such as data analysis, automation of repetitive tasks, or personalization of services, ensuring that AI is not exclusive to large corporations. The dominance of AI in business can be attributed to three main factors: the availability of large volumes of data, the increase in processing capacity, and the development of more sophisticated algorithms.
The future of business with AI is promising, but it requires a balanced approach, and companies that manage to integrate AI in an ethical and strategic way will undoubtedly be better positioned to thrive in this digital era. The collaboration between humans and machines will be fundamental, with AI increasing human capabilities rather than replacing them.
IBM has been a reference in promoting trustworthy AI, ensuring that models are explainable, fair, and aligned with ethical principles. Transparency and governance are fundamental for companies to get the most out of these technologies.
We recently implemented an AI solution for a client to support their email management and customer service. This assistant was developed to automatically summarize received messages, suggest responses based on interaction history, and even forward requests to the correct department, reducing administrative overload.
With this implementation, the company achieved a 70% reduction in email response time, improved internal organization, and increased efficiency of the support team.
This case demonstrated that it is possible to combine the power of generative AI with privacy and operational efficiency, and companies and public institutions can currently benefit from automation and AI without compromising data security.
The decision to act now and not in the future determines who will remain competitive in the market, and it is undoubtedly a priority to accelerate this transformation, with practical solutions that drive innovation and growth. Ignoring this change is not an option, it is a risk that companies cannot take.
