Trademagazin > News and articles > Market News > Although the business benefits of using AI are clearly visible, half of companies are still lagging behind
Although the business benefits of using AI are clearly visible, half of companies are still lagging behind
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Domestic companies are sensing the business opportunities inherent in AI, but in many cases more guidance and practical support are needed for implementation. Nearly a third of companies that are still waiting believe that they are not sufficiently familiar with the AI solutions available on the market that are relevant to them – according to Profession.hu’s recent research examining company experiences, concerns and expectations.
The leading Hungarian job portal conducted a comprehensive survey among its corporate clients on AI usage habits and experiences. Nearly half of the organizations surveyed (47%) indicated that they have already integrated solutions supported by artificial intelligence into their daily operations. Employers who are not yet working with AI-based systems most often cite a lack of appropriate expertise and concerns about data security and privacy. According to a third of respondents, another obstacle is that they are not sufficiently familiar with the relevant market AI developments for them, or do not see an area where they could be effectively implemented. This clearly indicates that there are still significant reserves in corporate education.An important support in this regard is, among others, the AI Act is a regulation that provides a framework for the responsible use of AI in the European Union and contributes to addressing the risks associated with the technology. The company previously published a report on data management and data protection issues related to recruitment, as well as the main rules of the AI Act regarding artificial intelligence applied in recruitment. data-saferedirecturl=”https://www.google.com/url?q=https://www.profession.hu/hrfeed/mesterseges-intelligence-a-toborzasban-hogyan-alkalmazzuk-szabalyosan-es-biztonsagosan/&source=gmail&ust=1775166580465000&usg=AOvVaw2o2FQ2sQEwbSowXlNMF-NG”>article provides an overview.
Content production and ad optimization – these are the most common areas of AI use
Companies that have already introduced AI tools into their workflows have reported experiences in numerous fields. The largest proportion of respondents (67%) use such technologies to perform marketing and communication tasks, such as content production, ad optimization, or social media management. 39 percent of employers skilled in this field operate the aforementioned technology to perform administrative and office tasks such as minute taking, calendar management, or translation. Another 32 percent are at the forefront in the field of HR and recruitment. In the IT and software development segment, AI services are primarily used for code generation, test process automation, and cybersecurity measures by a quarter of respondents (26%), but a similar proportion have already adapted them in the sales area, in connection with lead generation, customer segmentation, and various forecasting. A smaller number of organizations also indicated customer service (19%), finance and accounting (15%), legal (13%), and logistics (7%) functions.
“For example, on our job portal, we usually support the production of advertising content with AI services, and the verification of advertisements is now fully automated, we use AI-based systems for this: in the latter case, a colleague only intervenes where the software detects a problem – while previously we solved this exclusively with human resources. We use the freed up capacities for customer experience and service development.”
– Imre Tüzes, Commercial Director of Profession.hu, mentioned.
“We also support the registration and browsing of job seekers with AI tools, such as the function called CV Parser, which automatically extracts the necessary data from uploaded CVs and then fills in the registration form. form, making data capture faster and more accurate.”
In terms of usage, most employers (40%) do not have a clearly defined method and employees are left to their own decision whether to rely on publicly available models to make their work easier. One in four companies is currently testing AI tools in small projects or only on an experimental basis.
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