Generative Artificial Intelligence has been the center of attention in the business world, promising to transform processes, improve productivity and open up new opportunities. However, beyond the enthusiasm, questions arise about how this technology can be implemented effectively and responsibly in companies. How can we ensure that it is an ally in increasing efficiency without compromising ethical and safety issues? And how can we prepare professionals for this new reality?
These and other questions were discussed at the event "Generative AI: What comes after the hype?", which was attended by Adriano Mussa, Ph.D, Dean, Academic Director and Artificial Intelligence Director at Saint Paul, and Marcos Sanchez, Chief Technology Officer at Saint Paul; the event was presented and moderated by Ana Paula Zamper, Director of the Artificial Intelligence Program for C-Levels, CEOs, Board Members and Shareholders. Participants shared their views on the topic, enriching the event with their experiences and knowledge.
The discussion focused on distinguishing two main types australia whatsapp data f Artificial Intelligence (AI): General AI (AGI), which still belongs to the realm of science fiction, and Narrow AI, which is already applied in several industries. Within this last category, the participants addressed two branches: Classical AI, used for decades in predictions and analysis through machine learning, and Generative AI, a recent innovation capable of reading, writing and maintaining dialogues.
Implementation Challenges in Companies
Implementing Generative AI effectively requires finding concrete use cases that add value. As Ana Paula Zamper has pointed out, “Companies think ‘I need to implement something AI, I don’t know what, but I need to’ because everyone else is doing it.” The pressure to adopt technology can lead to hasty decisions without properly assessing the real benefits to the business.
The speakers highlighted the importance of aligning AI implementation with specific goals, such as increased productivity, operational efficiency, and customer satisfaction. However, they highlighted the risks inherent in the use of this technology, such as privacy issues, algorithmic bias, reliability, and ethical dilemmas. It is essential to train and empower employees so that they can use AI productively and in a way that is guided by clear goals.
Impact on Jobs and New Skills
Another central theme was the impact of Generative AI on the job market. Adriano Mussa brought up the idea that "the world is out of sync", indicating that technological evolution does not always keep pace with human adaptation. By automating repetitive tasks, AI can free up professionals to focus on more creative and social activities. However, this transformation also requires the development of new skills.
Examples of professions that could be profoundly impacted, such as radiologists, teachers and doctors, were discussed, highlighting the need for adequate preparation for this transition. Reskilling and continuing education (upskilling) will be essential to ensure that workers adapt to the new AI-driven landscape.
Leadership and Long-Term Strategy
Early leadership involvement was highlighted as critical to successful AI adoption in organizations. Strategic adoption, rather than a fad, was emphasized as the surest path to avoid failure and ensure AI is aligned with organizational goals. Panelists emphasized that AI implementation must be carefully planned, with the support and commitment of leaders at all levels, from the board to the executive suite. This ensures that the technology is viewed as a strategic tool and not just a one-off project.