Artificial Intelligence (AI) has become one of the main levers of transformation for companies and professionals who want to keep up with the speed of technological change. From tools that optimize internal processes to solutions that personalize experiences for customers, AI is redefining the way businesses operate and compete in the market. However, despite its potential, the effective use of AI still requires in-depth understanding and continuous preparation. In this context, professional development is essential for leaders and employees to be able to explore the opportunities and deal with the challenges of this technology in a strategic manner.
Professor Adriano Mussa, Ph.D. Dean, Academic Director and Director of Artificial Intelligence at Saint Paul Business School, highlighted in his recent free course Artificial Intelligence for Leaders the importance of education and constant professional development in times of rapid technological transformation, especially in the context of AI. In his presentation, Mussa highlighted an alarming fact: according to the World Economic Forum, more than 50% of the economically active population needs to update their skills to face the challenges of the digital age.
Demystifying AI: It’s Not About Robots with Feelings
The media often portrays AI as a complex and even australia whatsapp data dangerous technology, with robots poised to take over humanity. However, Mussa clarifies that the reality is quite different. He explains that “AI is, essentially, a predictive machine,” designed to make predictions based on large volumes of data. Practical examples are all around us: spam filters in our emails, route predictions in navigation apps, and even credit analysis that makes everyday life easier for people and businesses.
Classical AI vs. Generative AI: Two Worlds, Different Uses
The professor makes an interesting distinction between two types of AI: classical AI and generative AI. Classical AI, also known as machine learning, has been around for decades and is widely used to predict numbers and patterns with high accuracy. “Getting straight to the point is very important,” says Mussa, emphasizing the practical and objective value of classical AI in applications such as credit analysis and demand forecasting.
Generative AI, which has recently gained prominence with tools such as ChatGPT, works with text prediction. Although it is still in its maturation phase, generative AI has aroused the interest of companies, which are seeking to discover innovative ways to apply it. Adriano Mussa points out that this technology is still seeking more effective uses, but its potential is undeniable.
Read also: Generative AI: The Future of Technology and its Impact on the Corporate Environment
iFood and the Competitive Advantage with AI
One of the examples highlighted by the professor was iFood, which presents itself as an AI company. With advanced predictive algorithms, iFood improves processes such as predicting delivery times and managing the stocks of partner restaurants. "AI is a game for one player or a few players," says Mussa, highlighting that the strategic use of AI can generate a competitive advantage that is difficult to overcome for companies that do not adopt this technology.