AI or artificial intelligence undoubtedly dominates the current digital workspace, and by 2030, AI could potentially contribute to the global economy of up to $15.7 trillion by 2030, according to PWC's global artificial intelligence research. However, certain aspects of the roles currently being performed by humans go beyond personal, creative, management, and tasks dealing with human emotions. Jobs with these tasks require collaboration between humans managing, monitoring and even teaching these machines. Therefore, what you think ahead to be smart and acquire expertise in these skills can add enormous value to the individual's current role.
In this blog, we explore the duties that will benefit from the introduction of AI and automation to directly complement and enhance these roles.
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Problem solver
A problem solver is someone who likes to manage people, events and jobs to achieve positive results. Some people have this as an inherent skill, but others need to work on ingenuity and building problem-solving skills. Today, these skills are in great demand and require skilled professionals who can use information and knowledge to solve problems and engineer solutions. Jobs that require detailed problem-solving skills are computer systems analysts, air traffic controllers, actuaries and hospitalists.
AI and machine learning can bring wonders when calculating numbers at incredible speeds. They can quickly provide the right solution to the problem. However, human intelligence is required to complement this AI feature. For example, the need to train a machine to recognize the shape of a cat or dog must supply multiple images to the memory. Still, the most advanced AI-enabled machines get confused when asked to choose dog-shaped trees and photos of real dogs.
Computer Engineer (Hardware)
With the ever-growing field of AI and automation, an increase in demand for qualified hardware engineers is foreseeable. The McKinsey report predicts that the need for skilled engineers, including computer scientists, engineers, IT managers, IT workers and high-tech consorters, will increase from 20 to 50 million worldwide by 2030.
Mechanical Engineer
The core task of a mechanical engineer is to build a machine that performs a specific task. And the machine needs a man. AI-enabled machines can generate the desired amount of torque and provide a complete set of gears, but they cannot build a fully automated car without human intervention. Robots prove to be great support, but they need humans as masters to create sophisticated systems.
Medical professionals
Artificial intelligence is already being used to diagnose and treat diseases. For example, IDX-DR is the first autonomous AI system ever to detect state instantly. With the assistance of the US Food and Drug Administration (FDA) to provide diagnostic support, detect signs of diabetic retinopathy in visual images and create a binary diagnosis in minutes using an algorithm. AI can also be used widely for the treatment of cardiovascular disease. The presence of AI helps healthcare professionals diagnose diseases more quickly, and they work to use data collected from AI algorithms to find better solutions. Therefore, it is essential for healthcare providers/radiologists/pathologists to understand and implement these technologies.
Creative Jobs (Art, Writing)
Computers have been used for artistic purposes since their invention. Everyone knows about Google Deepdream. I know the visualization tools and how interesting and quirky they can create images. However, art in all forms requires a high level of creativity. You need ideas, engagement, style and beauty. Robots can help you write social media posts, but you can suggest headlines, book titles, or mimic writing styles, but at least in the near future, humans can ultimately create them.
AI Research and Engineering
The growth and automation of AI will naturally increase the demand for skilled AI professionals. Also, as technology advances, some entry-level AI positions may be automated in the future. Therefore, AI experts need to reflect on current advances in AI. Similarly, software engineers need to mature using assembly language, high-level languages, object-oriented programming, mobile programming, and now AI programming.
New opportunities and industry growth paths create new and unique positions across all areas of business operations. Here are some of the most popular AI roles.
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AI/Machine Learning Researcher
Responsible for improving machine learning algorithms
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AI Software Development, Program Management, and Testing
Developing systems and infrastructures that can use machine learning to derive critical business insights
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Data Mining and Analysis
Perform deep investigations of huge data sources and create and train systems to recognize patterns that are often essential to business decisions
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Machine Learning Applications
Responsibility for applying machine learning or AI frameworks to a variety of business issues, including advertising analytics, fraud detection, and gesture recognition.
Source: weforum
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How to maintain demand
A recent survey of Paysa career and employment data companies shows that 35% of AI roles require a PhD, and an additional 26% require that the candidate has a Master's degree. By properly understanding where your global workspace is heading, you can market yourself with the most popular professional skills. Industry-specific certifications also help to convince your prospective employer that you have the skills and expertise that you are suitable for your job, and to make you a professional in demand.
Simplilearn offers many certifications that provide experts with much needed knowledge in these cutting-edge technologies and industry reading expertise. Our Automated Test Master Program appears in our courses for becoming an expert automated test engineer focused on software development and quality assurance. There is also an AI course developed with IBM, providing training on the skills required for a rewarding career in the field of AI. Through this exclusive training program, you will learn the programming languages you need to kickstart your career in deep learning, machine learning, and artificial intelligence that are necessary to excel in this domain.
As the demand for AI and machine learning increases, organizations are demanding experts with knowledge of these growing technologies and practical experiences. With innate needs in mind, SimpliLearn has launched AI and Machine Learning courses in collaboration with IBM to help you gain expertise in skills and technology from a variety of industries, from Python, NLP, speech recognition, and advanced deep learning.
A comprehensive post-graduate program provides joint Simplilearn-Purdue certificates. You are also entitled to a Purdue University alumni membership upon completion of the course. IBM is a leading player in AI and data science, helping professionals exposed in relevant industries in the field of AI and data science, providing globally recognized certificates, and providing full access to IBM Watson for hands-on learning and practice. Game-changing PGP programs can help you stand in the crowd and expand your career in thriving fields such as AI, machine learning, and deep learning.
