Перегляд за Автор "Batrak, Ye."

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    Automation of content creation: how ai is changing the business models of media companies
    (НН ВПІ КПІ ім. Ігоря Сікорського, 2024) Markin, M.; Batrak, Ye.; Markina, O.; Segol R.
    This article examines the impact of artificial intelligence (AI) on media content cre-ation and the associated implications for business models and information security. The integration of AI in media has led to significant transformations in content production, enabling unprecedented levels of efficiency, personalization, and scalability. The study explores how AI technologies like natural language processing and machine learning are being applied across news, entertainment, and social media sectors. Case studies of major organizations like The New York Times, BBC, Netflix, and Spo-tify illustrate the diverse applications of AI in content generation, curation, and delivery. While AI offers numerous benefits, it also presents challenges related to misinformation, data privacy, and algorithmic bias. The article discusses the potential for AI-generated fake news and deepfakes to undermine information integrity. It also addresses concerns about filter bubbles and the fragmentation of public discourse due to AI-driven content personalization. Looking forward, the article anticipates continued advancements in AI capabilities, particularly in natural language processing. However, it emphasizes the need for interdisciplinary approaches to navigate the complex ethical, legal, and societal implications of AI in media. The future of AI in content creation will likely be shaped by ongoing negotiations between technological possibilities, ethical considerations, and regulatory frameworks.The article concludes by highlighting the importance of balancing innovation with safeguarding information integrity and the core principles of journalism and media.
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    Automation system for finding parking places
    (КПІ ім. Ігоря Сікорського, 2023) Napadii, O.; Tsopa, N.; Batrak, Ye.
    This article explores the potential of an automation system designed to revolutionize the process of finding parking places. Through in-depth research, the article highlights the challenges faced by drivers and the shortcomings of traditional methods. The automation system, backed by advanced algorithms and real-time data, aims to enhance parking accessibility, provide accurate predictions of parking availability, optimize driving routes, and improve the overall parking experience for users.
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    Information processing with an optical sensor when incomplete initial information
    (КПІ ім. Ігоря Сікорського, 2019) Parkhomey, I.; Batrak, Ye.; Tsopa, N.; Zeniv, I.
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    Overview of RPA technologies
    (КПІ ім. Ігоря Сікорського, 2023) Troianovska, A.; Batrak, Ye.; Tsopa, N.
    The article's focus is on RPA (Robotic Process Automation) technologies and how they affect businesses' operational procedures. RPA is a software technology that enables businesses to automate repetitive and boring processes with the use of built-in algorithms created by various RPA platforms and vendors. This article's objective is to examine, organize, and determine the potential futures for RPA deployment in the contemporary business environment. The article goes into great detail on the main advantages of RPA implementation into organization system, such as improving operations' productivity, efficiency, and accuracy; cutting down on job completion time; and minimizing errors. A lot of focus is placed in the article on the examination of RPA implementation's potential futures. It is anticipated that RPA's functionality and capacities will continue increasing over time, and that RPA will be integrated with a variety of cutting-edge technologies, elevating business process automation to new heights. In conclusion, the application of RPA technologies is a big step toward the optimization of business processes in a corporate environment that is changing quickly.