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Artificial Intelligence Can Create More Employment Opportunities

  • SkillRary
  • May 25, 2019
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The impact of artificial intelligence and Machine Learning on employment opportunities have always been a topic of much speculation. When it comes to organizing & manipulating data, processing complex mathematical problems, and executing tasks in the blink of an eye, AI and Machine Learning are the most preferred choice. As a result, AI has penetrated almost every industry; from construction, transport, and manufacturing to business intelligence, education, and healthcare. It is, therefore, not surprising that many Silicon Valley figures, including Facebook CEO Mark Zuckerberg, believe, that not only can artificial intelligence support and enhance existing jobs, but it can also create new roles.

 

A report generated by Gartner suggests that by 2020, AI would generate an estimated 2.3 million jobs.

(https://www.gartner.com/en/newsroom/press-releases/2017-12-13-gartner-says-by-2020-artificial-intelligence-will-create-more-jobs-than-it-eliminates)

 

This the figure was calculated by taking into account the 1.8 million jobs made simpler by automation. However, like any other technology, when it comes to domain skills, AI and Machine Learning also require dedicated training courses. This has spurred the need for artificial intelligence courses, thus preparing professionals for a new wave of change brought about by innovations in Machine Learning and artificial intelligence.

 

New job roles:

 

The AI and Machine Learning sector never fails to impress people with innovations. Tasks that were considered extremely complex until previously have now been rendered simple, thus giving professionals a broader space to focus on other tasks. In addition to this, the proliferation of AI techniques has yet another benefit. As the number of AI and Machine Learning devices increase, so will the need for job roles to support and maintain their functioning.

 

Scoring a top AI salary means working in the "right" sector. While plentiful, AI jobs are mainly in just a few sectors – namely tech – and confined to just a few big and expensive cities. Glassdoor, another popular job search site, notes that 67% of all AI jobs listed on its site are located in the Bay Area, Seattle, Los Angeles, and New York City.

 

It also lists Facebook, NVIDIA, Adobe, Microsoft, Uber, and Accenture as the five best AI companies to work for in 2019, with almost 19% of open AI positions. The average annual base pay for an AI job listed on Glassdoor is $111,118 per year.

 

Glassdoor also found financial services. Consulting and government agencies are actively hiring AI engineering and data, science professionals. This includes top firms like Capital One, Fidelity, Goldman Sachs, Booz Allen Hamilton, EY, and McKinsey & Company, NASA’s Jet Propulsion Laboratory, the U.S. Army, and the Federal Reserve Bank.

 

However, it is expected that the number of jobs and fields are to expand considerably in the near future. A recent report from Gartner said that AI will kill off 1.8 million jobs, mostly menial Salaries,-San-Francisco-CA) but the field will create 2.3 million new jobs by 2020, such statement is emphasized by a recent Capgemini report that found 83% of companies using AI say they are adding jobs because of AI.

(https://www.techrepublic.com/article/ai-will-eliminate-1-8m-jobs-but-create-2-3m-by-2020-claims-gartner/)

 

Trained professionals:

 

The impact of AI and Machine Learning on employment goes far deeper than just job creation. AI, and subsequently, Machine Learning, are niche technologies that demand an extensive understanding of every associated parameter. Consequently, there is a massive demand for performing micro-tasks like data analyses and virtual imaging, which require a significant level of expertise. This means that there is an ever-growing market for professionals who can perform these tasks, as evident by the rapid popularity of artificial intelligence courses.

 

According to industry estimates, the year 2017-2018 faced significant labor shortages in the technology sector. So much so that for 500, 00 open developer positions in the U.S alone, there were less than 500, 00 computer graduates to satisfy the demand. A survey conducted by Salesforce Research stated that 52 percent of IT recruiters faced a significant skill gap in their organizations. Judging by these trends, in the current era of business improvement that is dominated by AI and Machine Learning. In the future, there would be even more demand for skilled professionals. Hence, this is as good a time as any to invest in artificial intelligence courses to fill in the ever-increasing demand for skilled professionals.

 

Innovative job roles:

 

In a study conducted by Michael Page on professionals about the impact of AI and Machine Learning in their industry, the majority of survey takers were looking forward to AI generating more innovative and exciting job roles. Interestingly, these professionals were not just limited to the IT industry but were working in the fields of manufacturing, marketing, finance, sales, and accounting. Advances in AI and Machine Learning will enable machines to efficiently and quickly perform more mundane and time-consuming tasks, thus allowing professionals to take up more innovative job roles. Examples of these innovations are already available in the form of driverless cars and automated healthcare assistants, both as a result of advancements in AI and Machine Learning. Propelled by these innovations, industries would hire more highly skilled people to invent, develop, and maintain allied and complementary products.

 

Training, research, and development:

 

As with every other technology, AI and Machine Learning will flourish only through innovation. When assessed from a macroscopic viewpoint, the industry is still at a fledgling stage and much is yet to be discovered and implemented. This brings to focus the next layer of employment opportunities in AI and Machine Learning, that of research, development, and skill enhancement. Some positions are already in demand by some of the leading tech companies for roles of AI trainers, data scientists, and architects, statistical modeling, machine learning, computational intelligence, psychology, mathematics, neuroscience, and linguistics.

 

As Machine Learning advances to more and more areas of human intelligence and tasks, research & development to perfect the robotic models is very much in demand. Firms who are investing in AI and Machine Learning are always on the lookout for experienced professionals in their R&D department who can perform research and drive innovations in their existing prototypes.

 

The future of most industries is dominated by optimization of Machine Learning and AI. Workplaces will become more efficient, and the way enterprises conduct their businesses are undoubtedly expected to change for the better. It is, therefore, a perfect time as any for AI and Machine Learning professionals to anticipate how these technologies will impact more employment opportunities. As opposed to the fear of machines taking over jobs, AI and Machine Learning are instead poised to create new and more exciting job role, thus significantly improving the employment prospects of people in not just IT, but in almost every industry.

 

 

Why Are AI Salaries So High?

 

The fact is, AI is not a discipline you can teach yourself as many developers do. A survey by Stack Overflow found 86.7% of developers were, in fact, self-taught. But that’s for languages like Java, Python, and PHP, not the esoteric art of artificial intelligence.

 

It requires advanced degrees in computer science, often a Ph.D. In a report, Paysa found that 35 percent of AI positions require a Ph.D. (https://www.paysa.com/salaries/artificial-intelligence-engineer--t26 percent require a master's degree. Why? Because AI is a rapidly growing field and when you study at the Ph.D. level and participate in academic projects, they tend to be cutting edge if not bleeding edge, and that gives the student the experience they need for the work environment.

 

Why so high? Because many come from non-programming backgrounds. The IEEE notes.

(http://theinstitute.ieee.org/career-and-education/career-guidance/how-to-land-a-job-in-artificial-intelligence)

Those people with Ph.D.’s in sciences like biology and physics are returning to school to learn AI and apply it to their field. They need to straddle the technical, knowing a multitude of languages and hardware architectures, with an understanding of the data involved. The latter makes engineers rare and thus expensive.

 

And it requires multiple disciplines, including C++, STL, Perl, Perforce and APIs like OpenGL and PhysX. And because the AI is doing important calculations, a background in physics or some kind of life science is also necessary. So to be an effective and in-demand AI developer you require multiple skills, and not just one or two. Indeed lists the top 10 skills you need to know for AI:

1) Machine learning

2) Python

3) R language

4) Data science

5) Hadoop

6) Big Data

7) Java 

8) Data mining

9) Spark

10) SAS

 

As you can see, that’s a wide range of skills and none of them are learned overnight. According to The New York Times, there are fewer than 10,000 qualified AI specialists in the world. Element AI, a Montreal company that consults on machine learning systems, published a report earlier this year that there are 22,000 Ph.D.-level computer scientists in the world who are capable of building AI systems. Either way, that’s too few for the demand reported by Machine Learning News.

(https://mldaily.news/).

 

You can take up these Artificial Intelligence & Machine learning Course from Innovative Company SkillRary, Inc. For more Information on Artificial Intelligence & Machine Learning you can contact.

(https://www.skillrary.com/)

 

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