A large percentage of professionals believe that new-age technologies like Artificial Intelligence (AI) and Machine Learning (ML) are going to impact their workplace practices. With the rapid increase in the power and dependency on these technologies, there is a myth that AI and Machine Learning will soon replace the role of humans resulting in a jobless future. This blog post is intended to highlight how the future is foreseen with these technologies and the demand for emerging engineers in artificial intelligence.
In layman’s language, Machine Learning is a term used to refer to the process of teaching machines to perform some cognitive tasks such as image recognition, pattern analysis and output predictions with same or even better efficiency than human beings. It is a subset of AI, the branch of computer science attempting to build machines to behave like human beings. Artificial Intelligence is the hottest things going on in tech market right now that companies are even seeking freelancers to help out with their AI-based projects.
Upwork, the largest freelancing website released a report stating that AI is the second fastest-growing and in-demand skill in the first quarter of the year 2017. According to the biggest career website Glassdoor, machine learning engineers and other data scientists earn an average base salary of $105,395 and were among the most in-demand and highest-paid professionals of 2015. Therefore, it is crystal clear from these statistics that Big Data Analysts and Artificial Intelligence Engineers are high in-demand today and tomorrow.
With the dawn of each revolution, the processes in respective industries get automated. For example, the Industrial 4.0 Revolution automated the manual work. Technology revolution automated the mental work. Similarly, Machine Learning revolution has automated the automation itself. Instead, we give a set of instructions to a machine to solve tasks (this is what conventional programming is all about), machine learning is all about figuring out optimal instructions automatically from data or experience.
Technological changes driven by machine learning have advanced the way operations within organizations are performed. ML helps businesses to promote their products in more efficient ways and make accurate predictions in terms of sales as well as consumers’ behavior. Self-driving cars, humanoid robots, speech synthesis and recognition systems and 3-D technology are major AI advancements.
The scope of machine learning and its applications across industries of different domains is most likely to widen in the coming years. And with this growth, the demand for experts in robotics, artificial intelligence, and machine learning is certain to increase.
But as a matter of fact, there is a huge gap between demand and supply of talent with skills in technologies like deep learning, Big Data, and neural networks. As per experts, businesses will require a huge number of professionals having the knowledge of ML. The Computer Science professionals and students should take this advantage by opting machine learning training and shape their career in this field too.
Cognixia offers a comprehensive list of online training and courses in Advanced Machine Learning with Deep Learning. Enroll today and gain professional knowledge in these skills. You will not only ensure your job security in the heydays of SMART MACHINES but you will also enjoy an edge over your peers in terms of market value.
Tag : Artificial Intelligence (AI), Machine Learning (ML)