8 New Professions In The Field Of Artificial Intelligence 2020

What professions will be in demand in the era of information technology innovation? What new job functions will a person need?

If you are interested in the impact of artificial intelligence on the organization of the IT sphere, then perhaps you are first of all thinking about your own work. Can robots do what you do? More importantly, in hockey terms, you want to be where the puck is headed. So what new roles will arise and be appreciated with the further development of AI? Kevin Casey in his article does not cite the views of professional IT experts.

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Alex James, who heads the research and development department at DigitalOcean, notes that today, knowledge of AI and machine learning is the prerogative of people with advanced degrees. “The growing demand in this area can open the door for a wide range of types of experts,” he says. “As a matter of fact, scientists will remain in such fields as computer engineering and electrical engineering, with deep knowledge and experience in the field of AI and machine learning. But we will also see practitioners who quickly learn to use new technologies in order to take advantage of the growing number of new professions, but will not have a deep understanding of how this all works. ”

The need for “practices” will be one of the main factors in creating new professions, while many old ones simply disappear.

“Although AI leads to the automation of many types of work, it will also create many new job opportunities, especially in the IT field,” says Akash Ganapati, one of the founders and CEOs of Thrill AI Ganapati expects a growing emphasis in large IT companies on AI and machine learning will lead to the emergence of new roles in a number of areas, including:

Monitoring the operation and compatibility of AI: ensuring the proper operation of AI programs, protection against failures, data errors or inappropriate sources of information.

AI management: work on the technical implementation and control of AI operations.

Aggregation and data processing: collecting (especially from obscure sources) and clearing data sets for use in AI.

And this is just the starting point. Here are some other names for professions and job functions that experts say should appear in the future.

1. Constructor of artificial intelligence systems

“I see professionals as professionals responsible for deciding how, when and where to develop AI components in large and complex IT systems,” says Alessandro Perilli, Director of Strategy Management at Red Hat.

He sees this official position as a continuation of the current role of artificial intelligence specialists, but with one key difference.

“In my understanding, today's AI experts are more specialized in turning normal applications into smart applications. And in some cases this is all that the company needs. But gradually, as AI begins to penetrate more and more into the assortment of computer applications and it will be possible to significantly correlate an increasing number of elements of the intellectual environment, there will be a need for specialists who have a general picture and are able to combine local intelligent applications into a single corporate brain. ”

“I see an analogy here with the evolution of the human brain. It is very exciting. We are in the early stages of the development of artificial intelligence, and we still think of isolated smart applications as neurons responsible for one or another aspect of the brain. But these neurons have enormous pooling potential, as happened in our cerebral cortex. And for this you need an AI systems constructor. ”

2. Data Specialist

“Although AI will handle most of the routine IT decisions that people now make, it depends heavily on data that is organized, cleaned, and semantic,” says Doug Bordonaro, chief information advocate at ThoughtSpot. “Today, analysts and specialists in mathematical modeling share this function, but these positions are mainly responsible for providing an understanding of the situation and finding solutions. As the AI ​​can take on the "insight" part of the work, we will see a new role for data specialists who will focus on preparing data for use in AI algorithms within the organization. "

3. Advocacy Specialist

“AI promises to lower the data entry bar and facilitate interaction, but it will not become a magic wand, thanks to which we suddenly start to easily use data for any decisions,” says Bordonaro. “Even after implementing AI applications, companies will need to train within their organization what data they have available, how they can be applied, and how they should be applied.”

“That's why internal informational propaganda will be a critical moment for the implementation and growth of AI-based solutions. Companies will invest in those professionals whose primary task within the organization will be to educate users on how to make data-driven decisions and how to change the traditional workflows and office workflows to take advantage of new opportunities. ”

4. Specialist in the use of data in machine learning

“This function, not new in itself, will be in demand in large information technology companies as a means of more fully realizing the potential of machine learning. Companies will need to hire the right people to implement the system, train it and provide analytic data to add value to the information it collects, ”said Todd Lepke, lead technology development engineer at Sungard Availability Services.

5. Robotic Process Analyst

“This is a variation of the role of a business analyst, where you evaluate data processing and identify areas of use of robotic platforms for the automation process,” says Felix Fermin, recruitment manager at Mondo.

6. Digital Information Manager

Dwayne Forrester, vice president of industrial solutions at Yext, points out that virtual assistants and other “smart” services - Alexa, Siri, Google Home, and so on - are already changing the way consumers discover and choose brands. . Companies will have to invest in how they manage existing information about themselves in the “intellectual ecosystem”.

“In the era of structured data, professionals will be in demand, providing context for maps, visual info-maps, various solutions and other digital information. Companies are increasingly appointing a digital information manager as the cross-functional leader in charge of the company’s strategy that underlies its key digital information, and this is the basis for the success of the company in the coming years, ”Forrester says. “From providing accurate online data to linking internal projects and increasing the value of investing in content, product and context, these managers will regulate the digital dimension of companies in the future.”

7. Developer interaction with AI

The need for IT and design professionals to create artificial intelligence interfaces for a mass audience will grow, says Mondo Fremin. This role will allow "to create individualized AI systems with the goal of making them as human-like as possible."

8. Cognitive copywriter

Sean McFedran, director of development for promising platforms at Smith Labs, expects this position to be a growing trend as more and more companies begin to integrate natural language processing functions into their interactions with customers. This is a good example of a role that goes beyond traditional tasks. This is a mixture of technology, marketing, customer service and other disciplines. MacFedran defines this profession as follows:

This is a tech-oriented creative writer who:

Understands various machine learning systems and logical units of association working in a particular natural language interface.

Captures and creatively manages the limitations of the natural language processing system on the part of user experience - a new dimension for the means of presenting information.

It can express the nuances of the brand through the individual characteristics and language of an AI interface.

“The technologist is often less focused on user perception, and the copywriter on the practical limitations of natural language processing,” says MacFedran. “The two will meet in the role of a cognitive copywriter, one who is well acquainted with tree-like logic, defined by functions, data transfer, what the brand wants to say to its customer, and the nuances of consumer behavior.”