Artificial intelligence (AI), has impacted society in ways that we didn’t expect. AI allows us to unlock our smartphones using our faces. We can also ask our virtual assistants any questions we have and get vocalized answers. Our unsolicited emails are automatically filtered to a folder, without having to address them. This article guide Careers in Artificial Intelligence.
These functions are so ubiquitous in our lives today that we often forget that a decade ago few existed. Although artificial intelligence and machine learning have been a topic of discussion among science fiction fans since the 1980s, computer scientists have only recently acquired the advanced technology required to create the products that we use today.
Machine learning and AI have a wide impact beyond their ability to make people’s lives easier. These programs are designed to positively affect nearly every industry by streamlining business processes, improving consumer experiences, and performing tasks that were never possible before.
The impact of AI on industries will only increase as technology advances and computer scientists discover the amazing possibilities of specializations in their fields. We will explore the basics of artificial intelligence, the careers that are currently shaping the industry, as well as how to set your artificial intelligence careers up for success within the AI sector.
Also read: What Are The 10 Most Demanding Artificial Intelligence Technologies In 2021
What is Artificial Intelligence?
Depending on which industry it is being used in, the term “artificial intelligence” can have many different connotations. However, most people mean “artificial intelligence” when they refer to machine learning. Bethany Edmunds is associate dean and chief faculty at Northeastern’s Khoury College of Computer Science. “Although AI is a broad term that encompasses many statistical methods, historically it means a computer acting like a human.
All AI functions are based on the ability of computers to reproduce human-like behavior. Machine learning software can “see” human behavior by consuming data. The systems go through advanced processes to analyze the data, identify patterns and then apply that knowledge to replicate the behavior.
Edmunds points out that while technology is essential in this process, data is the real key to its success. The astonishing increase in data over the past decade has had a major impact on the development of the AI industry.
She says, “What’s actually happening is that technology has finally caught up with what people have been anticipating [about AI] for years.” “We now have the right amount and advanced machines to process that data. This is why [AI] is being used in so many industries right now.”
Edmunds points out, however, that technology is important in this process but data is the key to its success. The development of AI has been greatly influenced by the astonishing rise in data over the last decade.
She said, “What is actually happening is that technology finally caught up to what people had been anticipating [about AI] over years. “We now have the necessary amount of advanced machines to process this data. This is why AI is used in many industries today
However, those with a deep understanding of statistics and computer science will recognize the immense potential impact this function could have on their lives. Edmunds states that AI is allowing for breakthroughs across industries that have never been seen before.
5 Top Careers in Artificial Intelligence
The potential applications of AI are increasing, and so do the career opportunities for those who have the necessary skills to succeed in this field. According to the World Economic Forum’s The Future of jobs 2018 report, there will be 58,000,000 new artificial intelligence jobs in Artificial Intelligence by 2022. If you need a top-notch career in AI, it requires an Artificial Intelligence degree.
Edmunds says that it is often difficult to find the right combination of skills. She says that although [AI] is a huge job market, many people don’t have the necessary skills. This results in a better-than-average job outlook for those with these skills.
Continue reading to learn more about these AI career options that are shaping the industry.
Also read: Artificial Intelligence Tutorial for Beginners: A Full Guide From AI Experts
1. Artificial Intelligence Research
Many of these high-ranking careers focus on the use or function of AI technology. However, masters in computer science specializations and AI research are more about finding ways to improve the technology. Edmunds states that there will always be someone who can create a faster machine. Edmunds says, “There will always be somebody pushing the edge. That [person] will be] a computer scientist.” Artificial Intelligence ( AI) is a research area that studies how intelligent human behavior can be realized on a computer.
Responsibilities: The responsibilities of a computer science or artificial intelligence researcher will vary depending on their area of expertise and their specific role within the research field. Others might be responsible for developing AI-related data systems. Others may be responsible for developing new software that unlocks new opportunities in the field. Other people may still be responsible for overseeing ethics and accountability in the creation of these tools. However, regardless of their specialty, these individuals will seek out the potential of these technologies and help to implement changes to existing tools in order to realize that potential.
Career Outlook: These individuals are at the forefront of AI advancement and their job prospects are very bright. According to the New York Times, top-ranking AI researchers make over $1,000,000 annually as of 2018. Lower-level employees earn between $300,000.00 and $500,000 annually in stock and salary. The average annual salary for individuals in basic AI research positions is $92,221.
2. Software Engineering
In order to create the software that artificial intelligence tools work, the artificial intelligence specialist field relies on traditional computer science positions like software engineers.
Responsibilities: Software engineers play an integral part in the design and development of digital programs or other systems. These roles include the development of technical functionality for products that use machine learning to perform a range of tasks.
Outlook for Career: The Bureau of Labor Statistics projects a growth rate of 22 percent for software developers by 2029, which includes the creation of 316,000 new jobs. A software engineer can expect to earn $110,140 a year on average, and there are potential increases for those who specialize in AI.
3. Natural Language Processing
The language aspect of AI is a key component of many of the most widely used consumer applications. AI tools can be used to mimic human speech in many formats, including chatbots, virtual assistants, and predictive texting on mobile phones. To do this effectively, developers invoke knowledge of natural language processors – individuals who have both the language and technology skills needed to assist in building these tools. Edmunds explains that natural language processing involves applying machine learning to language. It’s a huge field.
Responsibilities: There are many applications for natural language processing. This will mean that the responsibilities of experts in this area may vary. These roles generally require individuals to use their advanced understanding of technology and language to create systems that allow computers to communicate with people.
Career Outlook: “There is a real shortage [today] of people in these positions,” Edmunds states. Edmunds says that there are many products where you interact with a machine using language. However, language is very difficult. People with the right skills can expect to earn a higher salary and have a better future. The average salary for natural language processing skill holders is $107 641 per year.
4. User Experience
UX roles include working with artificial intelligence products to ensure consumers are familiar with their functions and how they work. Edmunds stresses that these roles exist outside the artificial intelligence sector. However, there is a growing demand for UX specialists who are skilled in this area.
Responsibilities: In general, UX specialists are responsible for understanding how people use equipment and how computer scientists can use that knowledge to create more advanced software. A UX specialist may be responsible for understanding how people interact with AI tools to help develop functionality that is more suitable for their needs.
The job outlook: for user-experience designers is very positive. The average UX designer salary is $76,440/year, though those who are at the top earn over $100,000 annually. This industry will see 22.1 percent job growth by 2022. This means that there are more opportunities for those who have the right training and experience.
Also read: How to Become A Successful Data Analyst? Here’s A Guide for You
5. Data Analytics
The heart of AI and machine-learning functions is data. Those who are able to manage it properly have many chances for success. Although data science can be considered a broad field of study, Edmunds stresses the important role that data analyst plays in these AI processes.
Responsibilities: Data analysts must have a solid understanding and ability to present findings through visualization. Edmunds states that it is one thing to have the data but it is essential to be able to report on it to others.
Career Outlook: Data analysts enjoy a bright career outlook. This role earns an average of $61,307 per year.
Establishing a Career in AI
Artificial intelligence is a lucrative industry with above-average job growth. However, the market remains competitive. This is a niche discipline that requires both technical knowledge and hands-on experience. This rare combination of skills and practical experience will allow you to take on any number of AI professional roles and shape the field over the years.
Instead, those who want to work in AI can consider a Master in Science in Artificial Intelligence. This will allow them to sharpen their skills, learn from industry leaders, and gain the practical experience needed to build a career.
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