Artificial intelligence jobs dominated the list of fastest-growing positions in 2019. This is not expected to slow down anytime soon as companies adopt technology that will revolutionize the way they get their work done.
While many fear the upcoming changes, others are embracing them and looking to ensure they are not left behind. If you want to stay ahead of the game and get skilled up in emerging AI tech, then you need to know what skills you need and how to acquire them. To help you out we have compiled a list of AI domains and the relevant skills you’ll need if you intend to follow that path:
AI Jobs Overview
Innovation Professionals
The role of an innovation manager is a diverse one. Sometimes the innovation manager will be the innovator himself who looks to develop his own ideas and projects. Or he can be an enabler who looks at how he can create an atmosphere where innovation can happen in an organization. Jobs in this domain include Business Analysts, Project Managers, and Strategy Managers.
Data Analysts and Scientists
The two key roles in this domain are data analyst and data scientist. You may be thinking that they are one and the same, but they have a few key differences that make them distinct. Both require an analytical mind and a love for decoding data, but where data analysts sift through data to find trends, data scientists also have coding and mathematical expertise.
General and Operations Managers
General managers and operations managers generally work together so that an organization meets its goals. They are predominantly line manager roles requiring good communication skills and organization. The difference between the two is that general managers manage employees while operations managers oversee the general managers.
Sales and Marketing Professionals
Sales and Marketing Professional is an umbrella term that covers all types of marketing roles, including Digital Marketing Managers, Social Media Specialists, Ecommerce Professionals, and Bot Designers. The key skills required for this type of position are a good analytical mind, the ability to think outside of the box, and an idea of what people want.
AI and Machine Learning Specialists
A Machine or AI Learning Specialist is responsible for building and maintaining the code used in AI projects. Key skills for these roles include a thorough knowledge of programming Languages and a good grasp of mathematics including probability and statistics.
Software and Applications Developers
Software and application developers create software for computers and devices (known as apps). The main type of role in this domain is software engineer. The key skills required for this type of job are a good understanding of programming languages and software development, as well as good organisation skills.
Big Data Specialists
Big Data Specialists specialise in working with huge amounts of data. The types of role in this area are similar to other domains, such as Data Scientist, Data Engineer, Data Analyst, Data Architect, and Database Manager but the key difference is in the amount of data involved.
Information Technology Services
These types of artificial intelligence jobs cover a wide spectrum of roles such as Computer Systems Analysts, Information Systems Managers, Computer Network Architects, and Computer User Support Specialists.
Process Automation Specialists
This field covers robotic process automation (RPA) and includes roles such as RPA Developer, RPA Business Analyst, and RPA Project Manager. To succeed in this field, you will need many of the skills found in the other AI roles but with a primary focus on robotics.
UX and Human-Machine Interaction Designers
This domain covers roles like Product Designer, UX Designer, Interaction Designer, User Interface Designer, Usability Analyst, and User Researcher. An analytical mind and a good understanding of how a person interacts with devices and computers is essential.
