Will professional and technical personnel be replaced by artificial intelligence?

Artificial Intelligence (AI) has been around for some time. Over the past decade, deep learning has revolutionized fields such as computer vision and natural language processing. But in the past year or so, generative AI has taken the world by storm. Artificial intelligence is moving beyond classification and prediction to actively create and impact various industries with immediate applications. The IT industry itself has been at the center of all this, raising concerns about job losses. Let’s take a brief look at five types of IT professionals and the possible impact of AI on their roles

The Changing Landscape of Data Scientists

Generative AI and deep learning rely on a lot data. This data can be in structured, numerical form. It can also be unstructured, such as text, speech, images, videos, etc. So, this is a time of change for data scientists. Those who can handle unstructured data well will thrive. Artificial intelligence is not a threat to them, but is a major opportunity

Business Analyst: Telling Stories in the Artificial Intelligence Era

In the current artificial intelligence era, technicians are becoming more and more important in their work Part of it is telling the story. In a business environment, this becomes a core responsibility of the business analyst. Generative AI offers a new way to create stories, with the ability to automatically generate graphics and summaries. Therefore, the role of the business analyst is not just to create such outputs but also to interpret them in a valuable and intuitive way People build products. It works on the backend where it collects, stores and retrieves data. It creates a front-end, usually in the form of a web page or mobile app. A lot of it is coding. For example, generating starter code through GitHub Copilot can simplify and speed up coding. AI won’t replace programmers, but it will make them faster, more efficient, and overall better.

System Engineer: Using Artificial Intelligence to Improve Reliability

The rewritten content is: The operation of artificial intelligence relies on reliable and scalable computer systems, which is the responsibility of the system engineer. As this is a broad role, it is typically staffed by experienced technicians. Artificial intelligence can be used directly to support tasks such as fault identification and test case generation. Systems engineers, on the other hand, can focus on organization-specific aspects of system architecture and program management

Cybersecurity experts: anti-interference role

Some technical positions are relatively immune to the direct impact of artificial intelligence. One of these roles is that of a cybersecurity expert. Computer security is a never-ending, ever-evolving need. Like the technologies before it, AI is adding to this mix and complexity. Computing is mostly done in the cloud, and access to AI is often through edge devices. As a result, cybersecurity professionals have more work to do and more skills to master.

A specific aspect of the question “Will artificial intelligence replace technical professionals?” is how to define IT professionals in the era of generative artificial intelligence. Much routine coding will be automated, and the expertise required will focus more on algorithm design. From a broad unstructured information perspective, number crunching will be replaced by information extraction. At least in the near future, businesses will look to gain efficiencies from artificial intelligence, gaining the ability to solve problems and take risks from trained professionals.

Technical professionals will not be replaced by artificial intelligence, they will be enhanced.

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