Career In Artificial Intelligence: Myths vs. Realities

Career In Artificial Intelligence

In recent years, career opportunities in artificial intelligence (AI) has grown exponentially to meet the rising demand of digitally transformed industries. But while there are amply of jobs available in AI, there’s a momentous shortage of top talent with the essential skills. But why does this demand and supply gap exist? Many aspiring candidates wish to join the AI bandwagon, but several myths hold them behind.

Job site Indeed highlights, the demand for AI skills has doubled over the last 3 years, and the total number of job postings has upsurged by 119 percent. But, job-aspirants interest in a career in artificial intelligence seems to have leveled off. This clearly indicates employers are struggling to get good talent. This is surely good news for all those planning to transit their careers into AI!

Well, building a career in artificial intelligence demands a self-controlled approach. You might be interested in a career switch because of the exciting opportunities floating in this booming industry or maybe for that long deep-rooted interest to pursue AI as a career. Regardless of what your inspiration is, the first step to moving ahead in the AI career path is to ditch the myths and misconceptions that for long has been blocking your path.

Career In Artificial Intelligence: Myths vs. Realities

Myth #1: AI Is an Extremely New Field

The term “artificial intelligence” was coined by John McCarthy way back in the year 1956. Even though the concept of AI isn’t new, it has been creating more of a buzz across the globe in recent years.

Myth #2: AI Can Be Learned Only In Prestigious Institutions

This is probably one of the biggest myths, the reality is you can learn as well as practice AI from the comfort of your home. Today there are many online learning platforms available for you to join and develop your skills in AI and enrich your resume – CloudXLab is one of them.

Myth #3: Artificial Intelligence, Machine Learning or Deep Learning – All Are Same

One of the most common confusions. AI is often misconstrued with Machine Learning, Deep Learning, and even Cognitive Processing. But the truth is that ML is a subset of AI wherein feeding data regularly train the systems, and deep learning is a subset of ML. AI is the core and is broader than ML, deep learning and cognitive processing.

Myth #4: AI Is For Tech Companies

The initiation of AI is undoubtedly driven by technology companies. But now it is increasingly being incorporated by other industries and sectors. Right from healthcare sectors to financial, BFSI to e-commerce, FMGC and so on, every single vertical is keen to devour the AI-powered opportunities to yield significant benefits.

Myth #5: Career In AI Demands Specialization

You may read this everywhere,

As an AI aspirant, you need to have skills and exposure in Statistics and probability, Applied Maths, Algorithms and coding, Programming languages like Python, C++, Java, R, and Distributed Computing

But That Is Just One Side Of The Story!

Beyond technical skills, AI demands an innate sense of curiosity and a drive for problem-solving.

Leaving technical background aside, an AI aspirant needs to be analytical to understand data and craft algorithms and be incredibly creative to solve problems with new and innovative solutions. Simply put, learning AI demands a combination of analytical ability, creativity, and problem-solving skills.

You may want to look at our course AI for Managers. The idea of the course is that Managers should be able to predict the data given to them. For them, it’s not obligatory to know the Math’s behind it. In a similar way, AI for Managers course comes with only those areas that are highly focused on solving and managing AI And Machine Learning Problems.

Myth #6: Maths And Programming Are Required For learning AI And Machine Learning

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Myth #7: AI Opportunities Are Great Only At Top Tech Companies

AI experts have become one of the most in-demand and best-paid talents in today’s technological marketplace. It is true that top tech companies are looking to hire AI professionals in huge numbers, but budding startups aren’t behind. With technology driving the future of startups, they have some really interesting things going on which could drive the future. Startups are continuously scouting to hunt good talent and hire them even if they have to pay higher paychecks. Starting salaries range from ₹ 10-20 lakh per annum and can go up to ₹ 25 -40 lakh per annum for 5-10 years of experience.

Wrapping Up

The field of AI has been growing rapidly in the last few years. From Apple to Alexa, Self-driving Cars to Sophia Robot, AlphaGo to IBM Watson and many more such innovations are taking place every now and then. Definitely, currently, AI is one of the most trending careers on the planet. And in the future, we don’t see any prospect of it slowing down.

Remember, worldwide thousands of job openings in Artificial Intelligence are being posted every single day, and most of the positions are unfilled. The reason is simple, there are too few qualified candidates to fill them. If you have decided to move ahead for a career in artificial intelligence. Then a good knowledge of AI is a must.

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