Research conducted by Gartner suggests that artificial intelligence or AI will create a business value of US $3.9 trillion by 2022. What's more, artificial intelligence is expected to be the most disruptive technology category for the next decade, due to advances in computing power, capacity, speed, and data diversity, along with the further evolution of deep neural networks (DNN). This growth is fueling a demand for talent in a number of related disciplines, including that of artificial intelligence engineering. But what is artificial intelligence engineering? Before answering that question, it's worth stepping back a little, to look at the evolution of artificial intelligence itself, and how it is enabling new ways of doing things that new require new skill sets to implement.
It is no secret that Artificial Intelligence or AI is an emerging technological trend. According to a Gartner Report, Artificial Intelligence is going to create 2.3 million Jobs by 2020, replacing the 1.8 million it will eliminate. The Job Growth has already flooded the industry, as the demand for someone with AI skills has already doubled over the past few years. So, in this article, I'll guide you through the path on How to Become an Artificial Intelligence Engineer in the following order: AI is a technique that enables machines to mimic human behavior. Artificial Intelligence is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making and translation between languages.
Artificial intelligence is a disruptive technology that is enabling technological revolutions in its initial stages. In simpler terms, AI is any behavior or activity portrayed by machines and systems. AI has self-learning attributes which means whenever an AI-powered machine receives new information, it can make corrections on its own to make sure it doesn't repeat old errors. This property allows AI systems to perform tasks that require human intelligence and human understanding like visual perception, speech recognition, decision making, etc. According to research done by Gartner, artificial intelligence will create a business value of $3.9 trillion by 2022.
"Artificial intelligence will reach human levels by around 2029. Follow that out further to, say, 2045, we will have multiplied the intelligence, the human biological machine intelligence of our civilization a billion-fold." Machine learning (ML) and artificial intelligence (AI) are ruling the digital world today. These technologies have the ability to completely transform the way a business operates. With the increasing adoption and business applications of AI and ML, many IT professionals are choosing AI and ML as their career.
Today there is an exponential growth in the careers related to artificial intelligence because of the increase in the demands of digital industries. Many jobs are available in artificial intelligence, and also there is a shortage of top tech talent. Indeed, the recruitment site shows that there is a 200% increase in demand for AI skills during the past three years. There are varying Educational Requirements for seeking a Career in Artificial Intelligence but a bachelor's degree in mathematics / basic computer technology is a must. Machine Learning Engineers have a high demand and can get a median salary of $114,856 per annum.