It’s predicted that 97 million jobs involving artificial intelligence (AI) will be created between 2022 and 2025. AI has the potential to transform every industry; however, businesses are still struggling to find employees with the skills necessary to create, train and work alongside intelligent machines.
As companies have become aware of the efficiency gains that can be achieved through leveraging the power of machine learning, computer vision, and similar technologies, demand for skilled workers in the field is quickly outstripping supply.
Colleges and universities have responded to this by creating new courses and educational programs focusing on these skills. But anyone wanting to break into the industry may still be confused at the options available to them. So here’s a run-down of some of the most valuable skills you can learn today if you want to be prepared to work with the automated, intelligent machines of the future!
Programming
Although no-code and low-code AI solutions are appearing that let us leverage AI solutions without getting our hands dirty, it’s likely that businesses that want to deploy their own bespoke AI solutions will require skilled coders for a long time yet. A basic understanding of at least one of the most popular programming languages for AI - Python, R, C++, and Java – is very useful for anyone working with machine learning algorithms. This may seem a little counter-intuitive – as the purpose of AI is to enable computers to “learn” without having to be specifically coded to carry out a job. Nevertheless, most people working in roles that involve AI today will recommend that some level of experience in coding is highly valuable for anyone wanting to prepare themselves for using AI.
Data Science
Data is absolutely fundamental to the ability of machines to think and learn. Data is the input used to train AIs to make decisions and carry out tasks. Data scientists understand how to capture, manipulate and work with data in order to extract insights from it. These skills are essential to the field of AI because they encompass the advanced analytics that are necessary in machine learning algorithms. Data science has been a part of computer science educational curriculums for a long time, and today they are usually heavily focused on applying AI to solving business problems using available information.
Continue reading: https://www.forbes.com/sites/bernardmarr/2022/06/13/what-are-the-most-in-demand-ai-skills/?sh=73f65a0b249c
As companies have become aware of the efficiency gains that can be achieved through leveraging the power of machine learning, computer vision, and similar technologies, demand for skilled workers in the field is quickly outstripping supply.
Colleges and universities have responded to this by creating new courses and educational programs focusing on these skills. But anyone wanting to break into the industry may still be confused at the options available to them. So here’s a run-down of some of the most valuable skills you can learn today if you want to be prepared to work with the automated, intelligent machines of the future!
Programming
Although no-code and low-code AI solutions are appearing that let us leverage AI solutions without getting our hands dirty, it’s likely that businesses that want to deploy their own bespoke AI solutions will require skilled coders for a long time yet. A basic understanding of at least one of the most popular programming languages for AI - Python, R, C++, and Java – is very useful for anyone working with machine learning algorithms. This may seem a little counter-intuitive – as the purpose of AI is to enable computers to “learn” without having to be specifically coded to carry out a job. Nevertheless, most people working in roles that involve AI today will recommend that some level of experience in coding is highly valuable for anyone wanting to prepare themselves for using AI.
Data Science
Data is absolutely fundamental to the ability of machines to think and learn. Data is the input used to train AIs to make decisions and carry out tasks. Data scientists understand how to capture, manipulate and work with data in order to extract insights from it. These skills are essential to the field of AI because they encompass the advanced analytics that are necessary in machine learning algorithms. Data science has been a part of computer science educational curriculums for a long time, and today they are usually heavily focused on applying AI to solving business problems using available information.
Continue reading: https://www.forbes.com/sites/bernardmarr/2022/06/13/what-are-the-most-in-demand-ai-skills/?sh=73f65a0b249c
