{"id":4360,"date":"2026-03-24T20:58:36","date_gmt":"2026-03-24T20:58:36","guid":{"rendered":"https:\/\/it-family.od.ua\/?post_type=news_one&p=4360"},"modified":"2026-05-06T21:04:47","modified_gmt":"2026-05-06T21:04:47","slug":"ai-in-action-kliyentskyj-dosvid-z-riznyh-industrij-na-it-wave","status":"publish","type":"news_one","link":"https:\/\/it-family.od.ua\/en\/news_one\/ai-in-action-kliyentskyj-dosvid-z-riznyh-industrij-na-it-wave\/","title":{"rendered":"\u201cAI in Action \u2014 Customer Experience Across Industries\u201d at IT Wave"},"content":{"rendered":"

<\/p>\n

At the IT Wave conference, a panel discussion was held dedicated to the practical implementation of artificial intelligence across various industries \u2014 from the public sector to banking, insurance, and marketing.
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\nPanel participants:
\nYevhen Bukhalskyi (UKRSIBBANK BNP Paribas Group)
\nOleksii Shyshliannikov (Kyivstar)
\nOleksii Kovalenko (UNIVERSALNA)
\nMykyta Koreniev (Odesa Regional Employment Center)
\nAlina Pshenychnykova (Netpeak)
\nModerator \u2014 Dmytro Tkachenko (DT Partners)
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\nKey insights from the discussion
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\nAI is already working in the public sector
\nThe State Employment Service website has launched AIJob \u2014 a tool that analyzes resumes and matches relevant vacancies based on parameters including experience, salary expectations, and location.
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\nThe next step is ecosystem-based solutions
\nWithin the \u201cObrii\u201d project, plans include the development of AI matching, personalized recommendations, resume automation, and predictive labor market analytics.
\n\u2800
\nAI in corporations is about efficiency and workplace culture
\nIn the banking sector, the implementation of generative AI is aimed at reducing information overload, automating processes, and developing new skills, including prompt engineering.
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\nReal cases show not only advantages, but also limitations
\nIn the insurance sector, AI is already being used for call analysis:
\n\u2014 more than 1,700 conversations analyzed
\n\u2014 classification accuracy reached 87.2%
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\nAt the same time, the key conclusion remains:
\nAI requires continuous training, supervision, and cannot operate autonomously without human involvement.
\n\u2800
\nAI is not always the necessary solution
\nAccording to business representatives, many requests framed as \u201cwe want AI\u201d are eventually transformed into simpler and more effective solutions after a deeper analysis of the task.
\n\u2800
\nSecurity and data remain a critical factor
\nThe use of free AI tools may create risks for businesses, as entered data can potentially be used to train external models.
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\nSoft skills remain essential
\nDespite the rapid development of AI, human skills are not losing their importance. On the contrary, new solutions are emerging that aim to assess and develop soft skills alongside technical competencies.<\/p>\n

The \u201cAI in Action\u201d panel demonstrated that artificial intelligence is already being actively integrated into various industries. However, its effectiveness depends on proper task formulation, data quality, security standards, and the readiness of businesses to work with new technologies.<\/p>\n

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