Artificial Intelligence (AI) is known as one of the most sought after first technologies to unlock a productivity revolution in all sectors. There are many AI and machine learning (ML) applications in different industries, some of which can make a real difference in an industry trying to renovate itself.
You should study AI-first if you search for natural language processing, computer vision, or AI-related robotics. Otherwise, machine learning will be better for you. Machine learning is known as Artificial Intelligence’s subset. According to an Intel survey report, 70 percent of Indian businesses deployed AI-enabled solutions by the end of 2019. For AI and Robotics experts, India will create more jobs.
Economic Times estimated that the demand for data science professionals across numerous sectors was 400 percent higher when the availability of expertise shows slow growth. The expertise in AI and ML in India is mostly lacking. About 50,000 jobs are empty in the fields of AI and machine learning.
Overview of AI
Artificial Intelligence has two-words, i.e., ‘artificial’ and ‘intelligence.’ human or non-natural objects create artificially, and the ability to understand or think means Intelligence. It’s about learning how computers can be taught to do stuff that people can do better at this moment. Therefore, it is an intelligence that we’d like to apply all the capabilities to a machine that human beings have.
AI is a modern scientific research and learning infrastructure that practitioners must accept and direct, which will inevitably become obsolete and redundant. In science, AI can build theories autonomously, find unexpected connections, and reduce the cost of obtaining insights and predicting.
AI is a wide-ranging umbrella word of applications from text to robotic research. Artificial Intelligence is a matter of decision-making based on available data, whether it’s self-driving vehicles, virtual personnel, business investment risk estimates, or medical samples analysis. AI does all human intelligence activities but more efficiently and at lower error rates.
Overview of ML
It implies that you will learn a lot from AI-specific materials or machine learning materials regardless of whether you start or not. ML helps software programs predict results more accurately without special programming. This application of Artificial Intelligence automatically learns and increases when new data are exposed.
What should you learn first?
AL and ML are inextricably related. Before you start studying artificial intelligence topics, we recommend mastering your machine learning skills rather than a judgment on learning in 2020. It gives you the power to explore Artificial Intelligence and to develop a worthwhile and successful career.
With an overall growth of over 2 million workers by 2025, AI generates more jobs than it does. Machine learning and AI take on tedious tasks so that people can concentrate on high-level tasks.
Future outlook – Endless opportunities
The demand for highly-skilled staff for artificial Intelligence and machine learning is growing from Silicon Valley to Wall Street. But there is a small pool of talent, and the skills of viable candidates who smell desperation are highly regarded.
Research by O’Reilly found that the skills deficit is a significant obstacle to AI adoption. The lack of trained specialists slows down the adoption of Artificial Intelligence, according to 76% of Indian organizations. Another study by the job search portal Indeed stated the demand of professionals with AI and ML qualifications has doubled over the past three years, rising the AI jobs related to approximately 119 percent as a share of all the others.
It is no secret that AI and ML are new technology trends with high-demand talents as companies seek a competitive advantage. The work opportunities for AI and ML are growing more rapidly than job seekers, creating an enormous skills gap. Salaries for AI or ML skills seem to be spiraling fast. People joke the technology industry should keep a salary limit on these professionals like the national Football League-style. Individuals who are experts in AI and ML skills are able to earn a reasonable sum.
Artificial Intelligence professionals with 2-4 years of experience in India get an annual average salary of 16-20 lakhs, while 4-8 years of experience earn about 20-50 lakhs each year, and 5-10 million lakhs for the experience of 8-15 years. Everyone yearns for big bucks combined with fantastic bonuses, rewards, and a productive working community.
Artificial Intelligence is very high in demand right now.
It is better to concentrate on learning AI and complete as many AI projects as possible if you are looking to learn AI or machine learning to get a job. As the development and adoption of AIs across industries continue to grow, this talent will likely have a more competitive edge. There are many Artificial Intelligence online courses available for you to get an AI job right now and a lot of them are very much on demand.
Wrapping up
It is known in the following context that AI and machine learning may also overlap and be used even in their way. What, then, leaves us to learn about what to learn first: AI or ML? The answer is straightforward: it is up to your choice based on the skills you have.
What you want to learn first is a call that you have taken based more on which you show more interest or like to know first, than any particular protocol in both fields. There is no clearly stated rule, convention, or practice that says this and no clear specific standard hierarchy.
Machine Learning is not mandatory to learn first to learn Artificial Intelligence. You can start with ML directly if you’re interested in machine learning. You can begin to AI if you are interested in implementing computer vision and natural language processing applications. The choices made are obviously up to the person’s needs and desires and do not ultimately affect their future career prospects substantially.
Small changes will make your career have a big difference. If you are like people who are “hungry for knowledge,” 2020 is the best time to start your career in machine learning and artificial Intelligence to get success in today’s data-driven world.
