Artificial intelligence (AI), once the subject of people’s imaginations and main plot of science fiction movies for decades, is no longer a piece of fiction, but rather commonplace among people’s daily lives whether they realize it or not. AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. These AI capabilities, such as computer vision and conversational interfaces, have become embedded throughout various industries’ standard business processes. The industries that have become prominent for AI adoption in organizations include high tech and telecommunications, financial services, and healthcare and pharmaceutical.
The current AI ecosystem consists of machine learning, robotics, artificial
neural networks and natural language processing (NLP). In machine learning, programs learn from existing data and apply this knowledge to new data or use it to predict data. The field of robotics is concerned with developing and training robots. Usually, the ability of a robot to interact with people and the world follows general rules and is predictable. However, current efforts also revolve around using deep learning to train robots to act with a certain degree of self-awareness. For more on the AI ecosystem, trends, drivers, and applications, please take a look at the Statista In-depth Report: Artificial intelligence 2021.
The increase in AI investment is coupled with an increase in the need for AI talent. Many companies have posted job opportunities for those with AI talent across IT departments as well as in other business areas. Additionally, many countries have seen their AI hiring rate increase over the past few years, with Brazil seeing the most at 3.4 times more AI-related occupations in 2020 compared to 2016. This increase in hiring AI talent goes hand in hand with the overall global increase in artificial intelligence and machine learning use cases throughout companies. Popular use cases for AI and machine learning include improving customer experience and generating customer insights. Given the increase in use cases, we can expect to see more of AI in the coming years.
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Research expert covering technology in the Nordics, AI and smart cities