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Careers that will shape the future of artificial intelligence

Careers that will shape the future of artificial intelligence

Artificial Intelligence (AI) is already a part of everyday life, and the careers of the future are built on the ability to learn and adapt quickly to this revolutionary technology. From chatbots that process online orders to personal assistants on our phones, AI is everywhere.

The rise of AI:

The impact of AI on modern life is undeniable, and so is the growing demand for trained professionals in the field. But what does it take to learn about artificial intelligence and how can it be applied?

The advice of an expert:

According to Fabrizio Carbone, IBM Software Manager for Northern South America, the key to entering the world of AI starts with a solid understanding of databases. These are fundamental to AI programming and development. “To be successful with any AI model, we must first have the necessary data,” he says.

The starting point:

Learning about databases doesn’t require a specific career; there are many courses that can teach these skills in a matter of months. The variety of options is an advantage for those who want to enter the field without committing to years of study.

Focus on technical skills:

Companies increasingly value “hard skills,” or technical skills, over academic degrees. You don’t have to have a degree full of diplomas; it’s the skills you can bring to the table that matter.

Key roles in AI development:

AI requires several key roles, regardless of the type of AI. These include:

1.Data Scientist:

Analyzes data to extract useful knowledge and generate insights. Uses statistical analysis and machine learning techniques to identify patterns and trends in data.

2.Machine Learning Engineer:

Designs, trains, and tunes machine learning algorithms to solve specific problems.

3.Data Engineer:

Manages and optimizes data infrastructure, including data collection, cleansing, and transformation.

Each of these roles requires expertise in different programming languages, data management and machine learning.

Conclusions: As the world becomes more immersed in AI, learning and developing skills in the field is essential. Learning opportunities are plentiful, and companies value the application of technical skills more than ever.