Artificial intelligence is integral to the current technological movement, and it’s continuously improving. AI has an influence on business and the world as the catalyst behind computer vision, voice recognition, and natural language processing, and this trend will only continue.
Therefore, the world of AI is flush with career prospects. In fact, the major obstacle right now is that there are too many positions and too few experienced candidates. Thus, qualified candidates are virtually guaranteed jobs at the higher end of the salary scale.
A phenomenal career path with excellent wages, an increasing number of captivating sub-fields, and the capacity to work with transformational technology on a daily basis is what awaits in a profession in AI. An artificial intelligence occupation calls for a zeal and familiarity with technological innovations and data that fundamentally leads to further development.
Among the available careers in automation and AI, the AI Architect is seen as one of the top job opportunities for the coming decade.
In terms of AI, this isn’t simply a matter of innovation progressing to the extent where these types of opportunities can crop up.
Research published in the MIT Sloan Management Review in September 2017 revealed that almost 85 percent of corporate managers agree that AI can gain or maintain a strong edge for their firms, but only about 20% have actually implemented the technology in an impactful way.
As AI has created new professions, there aren’t yet floods of graduates who are waiting on relevant employment. The good news is that there are many online courses to help data or software engineers to make a straightforward transition.
However, the course requirements and educational path should be customized based on an individual’s background and experience. There isn’t a one-size-fits-all path. Various elements of mathematics, informatics, robotics, technology, and the philosophy of analytics may be required.
It’s crucial that you get acquainted with the AI sector you want to pursue, and do your research on developments in said field. You can then learn more about the expertise and experience necessary to enter an associated field.
If you’re planning on tailoring your education to become an AI practitioner, then you’ll need to register for programs that generally teach the following: Bayesian networking, computer science (learn the common coding languages used), cognitive science theory, engineering, physics, robotics, and lots of math classes.
Glassdoor provides the statistics for some of the top-paying jobs below:
Several Fortune 500 companies hired the best AI talent in the past year including: IBM, Microsoft, Facebook, Intel, Adobe, Uber, Rakuten, Amazon, NVIDIA, Samsung, and Accenture.