The Lack of Experts in the New AI Era: From Pioneers to Experts
Armando Gaona de Stefani
Invited Professor @ Tecnológico de Monterrey | Business Technology Consultant
The new era of Artificial Intelligence (AI) has brought about a revolution in the world of technology, but there is a significant gap in the number of experts in this field. While there are many pioneers who have started to use AI and have achieved some success, they are not yet considered experts.
The new AI is very different from traditional machine learning systems, neural networks, and other technologies that have been around for years. It is a completely new type of technology that requires a different set of skills and expertise. To be considered an expert in this field, one must have at least five years of experience working with the new AI, with several successful projects that have been measured over months or even years.
The new AI is not just about programming machines to perform tasks; it is about creating intelligent systems that can learn, adapt, and make decisions on their own. It is a complex field that requires a deep understanding of mathematics, computer science, and engineering.
So, how can one become an expert in the new AI era? Here are some steps to follow:
Becoming an expert in the new AI era requires a significant investment of time and effort. It is not something that can be achieved overnight, but with dedication, hard work, and a commitment to continuous learning, anyone can become an expert in this exciting and rapidly evolving field.
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