Artificial intelligence is present in virtually every aspect of business today, from automating manufacturing processes to personalizing online store offerings to analyzing large amounts of data. Although the situation is very dynamic, there are several major career paths in AI:
According to the US Bureau of Labor Statistics, technological advancements are driving the demand for artificial intelligence experts, which is expected to increase by 23 percent from 2022 to 2032. That’s much faster than in other industries. Here are the key players:
Source: DALL·E 3, prompt: Marta M. Kania
AI engineer jobs are for people who are fascinated by technology and have programming skills. For example, AI engineers who develop personalized recommendations for platforms like Netflix and Spotify are responsible for developing algorithms that match content to users’ preferences.
To be an effective data analyst, it is essential to have technical skills, such as knowledge of programming languages used in data analysis, for example, Python or R, and data visualization tools (such as Tableau or Power BI). It is also important to be able to work with large data sets, which requires knowledge of databases and SQL queries.
Apart from technical skills, statistical and mathematical skills are the foundation of data analysis. They allow for correct interpretation and conclusions. In addition, an analyst must have communication skills to effectively present analysis results and recommendations. Critical thinking and problem-solving skills are also useful in generating valuable business insights.
AI-powered marketing is no longer the future but an everyday reality. Using customer data, companies can tailor communications and products to individual users’ needs.Specialists will need to be able to configure sales chatbots or recommendation systems to help personalize online store offers. It will also be important to be able to use generative artificial intelligence, that is to say:
Source: Kaiber (https://kaiber.ai/dashboard)
Ethics specialists deal with an important aspect of technology: challenges to privacy and the impartiality of algorithms. Their job is to ensure that systems based on artificial intelligence are used responsibly and according to the company’s values and the law.
The plethora of online learning platforms allows for flexible training in artificial intelligence and self-preparation for a career in AI. Here are a few recommended options:
Regardless of the chosen platform, the key is to combine learning theory with practice in the form of sample projects and solve real business and social problems using AI and data science.
Source: Coursera (https://www.coursera.org/professional-certificates/applied-artifical-intelligence-ibm-watson-ai)
Despite the rapid evolution of technology, certain qualities will remain the same. To develop a career in AI, creativity or problem-solving skills will come in handy. The ability to work in a team is also considered an important asset when working on AI projects.
Going through the maze of career opportunities in the field of artificial intelligence requires a thorough understanding of both the needs of the job market and your own aptitudes. Understanding the specifics of different roles and their requirements will allow you to accurately choose a career in AI, chart an educational path, and focus on developing the most valuable soft skills. Artificial intelligence is evolving at an unprecedented rate. Adapting your career path to it will require flexibility, courage, and out-of-the-box thinking. But it may prove to be the key to professional success.
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Author: Robert Whitney
JavaScript expert and instructor who coaches IT departments. His main goal is to up-level team productivity by teaching others how to effectively cooperate while coding.
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