Various Skills Needed to Master Artificial Intelligence
Today, the implementation of AI in the world is very broad. This is because with the help of AI, human work can be made more efficient and flexible. Some examples of AI implementation that have been widely used are the use of AI Chatbot, AI designer, and AI assistant. However, despite the many benefits that can be obtained from AI, its implementation does not escape the concerns of many people about their jobs being threatened because they are replaced by AI. This has also become a hot topic of discussion for many experts. One of the most appropriate things to do in dealing with AI is to embrace it well. Our jobs will not be replaced if we can have the various skills needed in line with the implementation of AI. Some of these skills include:
- Machine Learning
Machine learning skills are one of the main skills needed to embrace AI implementation. This is because generally, the implementation of AI helps machines to perform various tasks in a smart way. This can occur with the use of machine learning. With machine learning, we will no longer need to tell every detail that needs to be done to machines, but we will make machines learn on their own to do various things or tasks.
- Programming
Basically, programming skills are the main foundation that must be possessed to understand AI. This is because various aspects of AI are closely related to the basic understanding of programming. Therefore, we must continue to develop an understanding of various programming languages that are currently widely used in the world, such as Python, Java, Apache, and various other languages.
- Natural Language Processing
The next skill is NPL or Natural Language Processing. Broadly speaking, NPL is a branch of AI that deals with how computers understand human language and how computers can create and manipulate that language. NLP is the technology behind one of the most famous AI implementations, namely Virtual Assistants (such as Siri and Alexa).
- Data Science
One skill that is also closely related to AI is data science. In understanding data science, we will learn how to extract insights from various data using various aids, including AI. Therefore, data science has a broader scope than AI. Therefore, an understanding of data science can also help us provide an understanding of how AI works.
- Robotics
Because today, various AI implementations are closely related to the world of robotics. So, an understanding of robotics must always be prepared to understand AI as a whole.
- Intelligent User Interface
Intelligent UI is a field that studies display design in human-machine interfaces. In understanding AI, which will later use this to create products, it is certainly important for us to specifically study interface design, especially in the field of intelligent UI.
Although many skills have been explained, this does not rule out the many skills that can be learned to master AI. Moreover, along with the times, of course, various technological innovations will continue to grow which makes us always prepare to learn various new things. So, let’s start now and avoid putting off learning any longer!
Referensi:
https://www.simplilearn.com/top-artificial-intelligence-career-choices-and-ai-key-skills-article
https://www.simplilearn.com/data-science-and-ai-article
https://www.javatpoint.com/robotics-and-artificial-intelligence