How to Make a Successful Career in Artificial Intelligence
A career in Artificial Intelligence is not only remunerative, but also cutting edge. AI has caught the attention of scientists out there and fascinated them in recent years. The untapped potential in AI and the impact it will have on our life in its full strength has been a subject of awe. Here is how you can get into the Artificial Intelligence sector. The Artificial Intelligence Career Overview.
The Artificial Intelligence Career Overview
Isn’t it ironic that we want to look for a career in artificial intelligence, when it is a known fact that AI is the single biggest reason for depleting jobs and increasing automation? However strange that it sounds, artificial intelligence is the hottest new career around the block and everyone is making a beeline for it.
According to a research by Oxford University, around 47% of all current US employment will be automated over the next decade. The silver lining to this grey cloud is that of the 1.8 million jobs AI will get rid of, the emerging field will create 2.3 million by 2020.
Currently, every big and small tech company working in the field of AI and top companies like Google, Yahoo, Apple, Facebook and Infosys are actively working to empower computers with the ability to learn, think and adapt. But the way we are headed, it looks like the future of jobs will be where artificial intelligence will make tremendous progress.
Students with a bachelor’s degree in computer science, engineering or some similar discipline under their belts may be keen to get into AI tech. Along with a bachelor’s degree, many employers may want masters or doctoral degrees for even entry level positions involving supervision, leadership or administrative roles. A course in AI would include some or all of the following
- Advanced mathematics including statistics, algebra, algorithms, logic, probability and calculus.
- Physics, robotics and engineering
- Coding, programming languages and computer science
- Graphical designing or Bayesian networking, involving neutral nets.
- Analytical science theory.
But nothing can get you faster up the ladder than real-life work experience. There’s no substitute for development work if you really want to understand the principles of AI and machine learning. You can start with mock data sets and basic applications, then work your way up to more serious, real-world problem-solving and solutions.
Jobs in AI
You can have a successful career in AI working in private enterprises, public organizations, teaching, health care facilities and even the military. AI professionals work as:
- Software researchers and developers
- Computer analysts and computer engineers
- Algorithm experts
- Research analysts and engineering experts
- Mechanical engineers and sustaining technicians.
- Electrical and manufacturing technicians.
- Surgical experts working with robotic apparatus
Why Should You Choose a Career in Artificial Intelligence?
AI achieves incredible accuracy though deep neural networks – which was previously impossible. Artificial Intelligence is the future of the world. It automates repetitive learning and discovery through data. AI is different from hardware-driven, robotic automation. Instead of automating manual tasks,
marketing, for instance, from the sentiment analysis in social platforms to the predictive capabilities in data-driven marketing solutions.
