Artificial Intelligence: This is where the future in-demand job market lies



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  • Have you thought about pursuing a career in Artificial Intelligence (AI)? Then, you are thinking right. Because, statistics show that between 2015 and 2018, there has been almost a 100% increase in job postings with “AI” or “Machine Learning” tags. It has also been reported that AI skills were a top demand in the fastest-growing jobs of recent years. For the uninitiated, here’s a brief starter:

    What is Artificial Intelligence (AI)?

    Going by Techopedia’s definition, AI is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans. AI software learns just the way humans do. So we see that machine learning often gets interchangeably used with AI. Machine learning can be better described as a subset of AI. It is the process by which AI learns mimicking the way humans learn. And with all those additional inputs coming in, the machines are able to learn better and perform better than humans ever did. This leads to AI causing a revolution in various industries. Reflecting this trend, the labor market is bound to display an increasing trend for AI skills. Are you thinking of practical applications of AI? Look around to find many – Uber drivers following maps which guide them on the best possible route or self-driving cars being tested by leading technology companies, Alexa listening to your questions and responding in ways smarter than you can imagine are all eminent examples. Are you there yet?  If not, remember there’s a lot of potential in an AI career. More and more industries world over are going to be AI dependent in the coming days.

    Career opportunities in Artificial Intelligence (AI)

    Here’s an illustration that shows the percentage of AI requirement in the world’s 10 most in-demand jobs:

    Currently, where are you likely to find AI professionals on the globe? Well, here they are:

    If reports are to believed then global spending on AI is projected to surge to more than $7 billion per year by 2022. You have probably heard a lot about how humans on the jobs are going to be replaced by smart technologies. That does not mean that people are likely to lose their jobs and be in pursuit of one. It simply means that organizations are going to be under pressure to look out for AI trained people. The shortage of trained AI professionals does exist and is only going to increase in the coming years. So, it makes absolute sense for you to look at this emerging area, get adequate learning for what it takes and launch yourself into a super career. Some of those jobs could be:

    • Machine learning researcher/ engineer
    • AI engineer
    • Data mining and analysis
    • Data scientist
    • Business Intelligence developer
    • AI research scientist

    To make the stand clearer, let us look at the tangibles for some of the above-mentioned jobs:

    Scope and Future of Artificial Intelligence (AI)

    AI is going to power medicine, robotics, engineering, space, military activities, and marketing in a large way. And need I tell you about the organizations that are on the lookout for the smartest professionals with AI skills? Well, Amazon, Facebook, Uber, Intel, Samsung, IBM, Accenture, Google, Adobe, Microsoft and others are only the leading ones. There are a host of others around you because they are naturally tuned in to the fact that as many as 31% of organizations around the world are likely to use AI in the current year.

    So where do we get started? Well, AI and analytics make a great team. Analytics, with the help of relevant data, is designed to analyze the ever-increasing amount of data that organizations have access to. More and more organizations are realizing the importance of analytics in their organizations to achieve competitive advantage and effectiveness. To do this better and to achieve the business objectives in a highly effective manners organizations are executing AI along with analytics in their routine jobs. This combination of power helps process data quicker and easier to extract insights on a real-time basis. So a clear understanding of analytics is what paves way for AI adoption. Because it is only an organization’s strong analytic capabilities that will help it to leverage AI more effectively. For a career progression into this exciting world, learn more about our WES approved Executive MBA in Business Analytics or Contact Our Admissions Team to get started.

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