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Profession from the Future: Artificial Intelligence Expert

Profession from the Future: Artificial Intelligence Expert

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Materiały Prasowe,
08.04.2024 15:00

Technology is largely involved in our lives and makes many everyday tasks easier for us. Over the next few years, new business opportunities will be introduced and technological improvements will gradually be rolled out across all businesses. To meet the demands of the market, specialists in new professions will also be needed. One such profession is an expert in artificial intelligence and machine learning, and the most suitable for it are representatives of Gen Z.

The work of experts in artificial intelligence and machine learning involves design, development and implementation of AI and ML models to solve complex problems in various fields - healthcare, finance, transport, robotics, etc. This profession requires a combination of technical, analytical and creative skills.

The main difference between artificial intelligence and machine learning is that AI is a general system with cognitive abilities, and machine learning is how systems sort through data sets and build intelligence and cognitive abilities. In other words, machine learning is an application of artificial intelligence.

A recent study estimates that the demand for specialists in artificial intelligence and machine learning will grow by 40% from 2023 to 2027, with average salaries starting at $153,000 per year.

Artificial intelligence refers to the simulation of human intelligence in machines. It enables machines to perform human-like functions such as visual perception, learning, decision-making and reasoning.

The ultimate goal of artificial intelligence is to create systems that can think like humans and perform tasks efficiently and effectively.

Machine learning is a technology that enables computers to learn and improve automatically without being explicitly programmed. It uses algorithms that learn and improve based on experience. Machine learning is often used to solve problems where complex rules are difficult to define. Machine learning can then be used to make informed decisions.

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