How AI And Machine Learning Helps In Up Skilling To Better Career Opportunities

How AI And Machine Learning Helps In Up Skilling To Better Career Opportunities

How AI And Machine Learning Helps In Up Skilling To Better Career Opportunities

The AI market is expected to grow from $21.46 Bn to $190.61 Bn between 2018 and 2025

AI will create nearly 2.3 million jobs by next year

Mathematical and programming skills are central to acquiring competency in this field

 

There are at least two clear trends that show a demand-supply mismatch in tech jobs in cutting-edge IT fields such as Artificial Intelligence and Machine Learning. One is via industry predictions that estimate growth in the AI market from $21.46 Bn to $190.61 Bn between 2018 and 2025.

Year on year growth is projected to be an impressive 36.62% during the same period. The second trend is more subtle. Big Indian IT firms in the US are reportedly ‘hoarding’ employees in these two fields as they foresee a shortage of skilled experts. They also fear a corresponding rise in the cost of hiring employees for tech contracts they have bagged for the future.

How Are AI & Machine Learning Being Used In Industry?

Unlike the exaggerated robots of the 2001 Steven Spielberg movie of the same name, Artificial Intelligence (AI) in reality is tamer. AI is understood to mean ways of making computers, computer-controlled robots or program think intelligently mimicking the manner in which humans think intelligently.

A computer program with AI can use can solve generic problems it is programmed to instead of just specific ones. They can accommodate new modifications to input without breaking structure. Traditional programmers would have to sort, sift and debug thousands of lines of code to make modifications.

AI finds applications in strategy games such as chess or poker where advance moves are determined by heuristic logic, natural language processing, virtual assistant technology, image and speech recognition and automated robotics.

General AI systems which can solve any given problem are rare. Insurance and banking organizations regularly use AI to monitor fraud. Marketers use AI every time you shop online to gather your browsing habits and predict what you are most likely to buy. They will then advertise those products through pop-ups and logos. Self-driving cars, auto-pilot modes and smart homes using sensors all rely on AI and affect daily lives of consumers.

There is also a difference between AI and Machine Learning (ML) although a number of articles on the web club them together or use them interchangeably. “ML is the study of computer algorithms that improve automatically through experience” according to Tom Mitchell of Carnegie Mellon University. It is simply one of the ways we use to achieve AI or something closer.

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