Artificial Intelligence (AI) made headlines recently when people started reporting that Alexa was laughing unexpectedly. Those news reports led to the usual jokes about computers taking over the world, but there’s nothing funny about considering AI as a career field. Just the fact that nine out of ten Americans use AI services in one form or another every day proves that this is a viable career option.
During a Simplilearn fireside chat, Anand Narayanan, Chief Product Officer at Simplilearn, and Ronald Van Loon, a Big Data expert and Simplilearn advisory board member, discussed the future of AI and machine learning as career fields. They delved into specific types of jobs available and the training required to get them. You can watch the recording by clicking on the link below or read on to see a wrap-up of some of the major points covered.
AI is getting even more traction lately because of recent innovations that have made headlines, Alexa’s unexpected laughing notwithstanding. But AI has been a sound career choice for a while now because of the growing adoption of the technology across industries and the need for trained professionals to do the jobs created by this growth. Pundits predict that AI will create close to 2.3 million jobs by 2020. However, it is also forecasted that this technology will wipe out over 1.7 million jobs, resulting in about half a million new jobs worldwide. Moreover, AI offers many unique and viable career opportunities. AI is used in almost every industry, from entertainment to transportation, yet we have a massive need for qualified, skilled professionals.
If you’re new to the field, you might be wondering, just what is Artificial Intelligence then? AI is how we make intelligent machines. It’s software that learns similar to how humans learn, mimicking human learning so it can take over some of our jobs for us and do other jobs better and faster than we humans ever could. Machine learning is a subset of AI, so sometimes when we’re describing AI, we’re describing machine learning, which is the process by which AI learns.
With machine learning, algorithms use a set of training data to enable computers to learn to do something they are not programmed to do. Machine learning provides us with technology to augment our human capabilities.
AI has widespread benefits. Both people and companies benefit from AI. Consumers use AI daily to find their destinations using navigation and ride-sharing apps, as smart home devices or personal assistants, or for streaming services. Businesses can use AI to assess risk and define the opportunity, cut costs, and boost research and innovation.
AI is rapidly evolving, which is one reason why a career in AI offers so much potential. As technology evolves, learning improves. Van Loon described the three stages of AI and machine learning development as follow:
In addition to the development of machine learning that leads to new capabilities, we have subsets within the domain of machine learning, each of which offers a potential area of specialization for those interested in a career in AI.
During the webinar, many of the audience questions revolved around companies that are currently using AI, and therefore hiring skilled AI professionals. The answer is, AI is being used in many types of applications across many different industries.
The self-driving car is probably the best-known use of AI. Predictive maintenance is another part of AI, forecasting when maintenance will be needed so it can be done proactively, leading to tremendous cost savings. AI is used in transportation, such as for train scheduling and to help Uber drivers navigate routes. Smart cities use AI to be more energy-efficient, reduce crime, and improve safety. The many applications of AI today are countless, and growing in number all the time.
Many big brands are already using AI, including IBM, Amazon, Microsoft, and Accenture. All apply machine learning on a large scale and drive innovation. In the future, more and more industries will be using AI and machine learning, driving tremendous growth in the job market. However, Van Loon pointed out that you don’t have to work for a larger company to work in AI or machine learning. All types of industries are moving towards this technology, including transportation, manufacturing, energy, farming, and finance.
If you’re intrigued by this career field and wondering how to get started, Van Loon described the learning paths for three different types of professionals; those new to the field, programmers, and those already working in data science. He also points out that various industries require different skill sets, but all working in AI should have excellent communication skills before addressing the math and computing skills needed.
For those new to the field, Van Loon suggested starting with mathematics and taking all kinds of courses in machine learning. Besides, someone wanting to move into AI should have strong computer skills as well as programming skills like C++ and an understanding of the algorithms. You should also supplement that education with general business knowledge. Most importantly, make sure any training you get is hands-on.
If you’re already a programmer and you’d like to move into AI, you can go straight into the algorithms and start coding.
For a data analyst or scientist getting more into AI, Van Loon said you must gain programming skills. To cross that bridge from data scientist to machine learning, you should know how to prepare data, as well as have good communication skills and business knowledge, and be proficient at model building and visualization. It takes many team members to make AI work, allowing for specializing in any number of areas. Van Loon suggested a data scientist should start by figuring out what it is you would like to do, and then focusing on that for your machine learning career.
No matter where you’re starting from, plan on continuing your education throughout your career. As Van Loon says, AI never stops learning, so you can’t stop learning either.
Narayanan pointed out that Simplilearn offers a learning path from basic to very advanced, with training that emphasizes the crucial hands-on learning needed.
Although we talk about AI and machine learning as broad categories, the jobs available are more accurate. Some of the jobs described by Van Loon during the webinar include:
When asked about the future of AI, Van Loon replied that the pace of development makes it hard to forecast the future. With the innovation we will see in the coming years, we can’t even imagine what will develop, but we do know we already have a shortage of trained AI and machine learning professionals. That gap will only grow until we get people trained and placed in the millions of AI jobs. If you want to be one of those professionals, get certified, because the sooner you get your training started, the sooner you will be working in this exciting and rapidly changing field.
As the demand for AI and machine learning has increased, organizations require professionals with in-and-out knowledge of these growing technologies and hands-on experience. Keeping the innate need in mind, Simplilearn has launched the AI and Machine Learning courses with Purdue University in collaboration with IBM that will help you gain expertise in various industry skills and technologies from Python, NLP, speech recognition, to advanced deep learning. This Post Graduate program will help you stand in the crowd and grow your career in thriving fields like Artificial Intelligence, Machine Learning, and Deep Learning.
If you're interested in becoming an AI expert then we have just the right guide for you. The Artificial Intelligence Career Guide will give you insights into the most trending technologies, the top companies that are hiring, the skills required to jumpstart your career in the thriving field of AI, and offers you a personalized roadmap to becoming a successful AI expert.