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There’s been a lot of hype around artificial intelligence (AI), but how are companies actually incorporating this technology into their current projects? That’d be a good thing for tech professionals to know, as it would allow them to tailor their own AI training and knowledge-building to fit what companies need.
According to a new whitepaper by CompTIA, titled “Building AI Strategy,” companies are moving aggressively to blend AI offerings into their current generation of automation, data analysis, and cybersecurity efforts. Here’s the firm’s data based on a survey of 511 North American tech and business professionals:
“The long-term benefits… might be tied more to the way the technology handles input,” CompTIA’s whitepaper stated. “Even with the excitement around early genAI tools, the top applications for AI are consistent with CompTIA’s earlier research around AI. Automation, data analysis and cybersecurity are tasks that do not typically have content-related output. Instead, they are related to daily operations. In these cases, AI can understand a wide variety of inputs related to the problem at hand, then provide various forms of assistance, such as direct automation of certain tasks, suggestions of patterns found in data, or predictions of cyber attacks.”
While many companies are experimenting with AI, it’s too soon to tell how many of those assessments will pan out. “Looking to the future, the productivity impact of AI will be a complicated topic,” the whitepaper added. “Not only will AI make individual workers more productive, but in some cases AI tools will prove to be a lower-cost option for certain tasks. It is difficult to tell what the net effect will be. Historically, technological innovations have led to the elimination of certain job roles in the short run, but the long run has seen job creation. For all the concern about robot overlords, the safe bet is that AI will follow precedent.”
What does all this boil down to? If you’re interested in working in AI, it’s important to master prompt engineering—whether you’re working with analysis or cybersecurity, the ability to prompt the proper response from generative AI tools is critical. For example, software developers may want to explore how to use generative AI for everything from producing code snippets to hunting down bugs.
Whatever your level of AI skill, it’s also critical to tailor your resume, online profiles, and other materials to accurately reflect your knowledge. Keep your lists of AI-related skills up-to-date, and always make sure that you show how you’ve used AI to have a positive impact on your past and current employers.Â