Determining university’s readiness to implement AI technologies for personalizing educational paths by V. S. Starostin, K. A. Arzhanova, D. V. Dolgopolov, A. D. Ditrikh

“…Methods of machine learning, predictive analytics, and modern generative neural networks allow to create recommendation services, with the help of which individual educational trajectories are formed by machine intelligence, simultaneously considering hundreds of parameters. …”
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Diabetes Risk Assessment: A Comparative Study of Decision Trees and Ensemble Learning Models by Lei Tianxing

“…The findings underscore the potential of these methods in enhancing diabetes management and offer a valuable contribution to the field of medical predictive analytics.…”
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Innovative Integration and Optimization of RE and Smart Energy Management Systems in Skyscrapers: Enhancing Sustainability and Energy Self-Sufficiency in Vertical Cities by Yan Bingzhuo

“…It also explores the role of Smart Energy Management Systems (SEMS) in optimizing energy use through real-time monitoring, predictive analytics, and automated control. Case studies like Masdar City and Shanghai Tower illustrate successful applications of these technologies. …”
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A Framework for Integrating Vision Transformers with Digital Twins in Industry 5.0 Context by Attila Kovari

“…Its main characteristics are anomaly detection, predictive analytics, and adaptive optimization, which are in line with the objectives of Industry 5.0 for sustainability, resilience, and personalization. …”
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Harnessing artificial intelligence and remote sensing in climate-smart agriculture: the current strategies needed for enhancing global food security by Gideon Sadikiel Mmbando

“…This review demonstrates how these advances can improve agricultural resilience, productivity, and sustainability by utilizing AI’s capacity for predictive analytics, crop modelling, and precision agriculture, along with RS’s strengths in climate projections, land management, and continuous surveillance. …”
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The transformative role of artificial intelligence in human resources by Klemen Žibret

“…By taking a look towards the future, we can predicts that tools like predictive analytics, monitoring of employee well-being, and convergence of AI with augmented reality (AR) and virtual reality (VR) can be projected as some of the future key developments. …”
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Digital Transformation: Improving Operation Efficiencies Through AI-Predictive Analysis Network at a Vancouver Catering Services by Innocent Mafiele, Rustam Nigmatullin, Farzaneh Tajikfilestan, Gaurav Pawar, Anu Chawla

“…The concept is centred on deploying the AI-driven Predictive Analytics Network (APAN), a technological solution intended to boost productivity overall, streamline workflows, and improve the efficiency of food delivery. …”
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The impact of artificial intelligence on business performance: a bibliometric analysis of publication trends by Rachid ZIKY, Hicham BAHIDA, Ahmed ABRIANE

“…Bibliometric analysis identified the most influential authors and institutions, highlighting predominant keywords such as "big data," "automation," and "predictive analytics." Results underscore the importance of deep learning and performance optimization. …”
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Review of Data-driven Decision Support Systems and Methodologies for the Diagnosis of Casting Defects by A. Burzyńska

“…The digital transformation of traditional companies into innovative smart factories is made possible by the potential of Artificial Intelligence (AI), which is able to perform predictive analytics inspired by the development of Industrial Internet of Things (IoT) technologies or to support highly complex decision-making, in the era of zero-defect manufacturing. …”
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Distributed cross-learning for equitable federated models - privacy-preserving prediction on data from five California hospitals by Tsung-Ting Kuo, Rodney A. Gabriel, Jejo Koola, Robert T. Schooley, Lucila Ohno-Machado

“…Abstract Quality improvement, clinical research, and patient care can be supported by medical predictive analytics. Predictive models can be improved by integrating more patient records from different healthcare centers (horizontal) or integrating parts of information of a patient from different centers (vertical). …”
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Power Quality Assessment and Optimization in FUZZY-Driven Healthcare Devices by Dinesh Kumar Nishad, Saifullah Khalid, Rashmi Singh

“…This paper introduces an innovative FUZZY-driven energy management system that combines convolutional neural networks (CNNs) for real-time power quality event detection, long short-term memory (LSTM) networks for predictive analytics, and reinforcement learning for optimized control. …”
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The Future of Law Firms (and Lawyers) in the Age of Artificial Intelligence by Anthony E. Davis

“…Part II describes how AI is transforming what it means to provide legal services in six primary areas: litigation review; expertise automation; legal research; contract analytics; contract and litigation document generation; and predictive analytics. Part III explores who are the providers of these AI driven legal services - often non-lawyer legal service providers - and how these providers are replacing at least some of what clients have traditionally sought from lawyers. …”
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A scientometric review of the relationship between learning agility and work engagement in modern management context by Farira Nareswari, Rini Juni Astuti

“…Machine learning, artificial neural networks, and predictive analytics can improve learning agility and work engagement. …”
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Russian industry intellectualization development: Strategic approach by L. S. Zelentsova, V. F. Ukolov, A. I. Tikhonov

“…Research objectives are to study statistical materials and practical developments in the field of industry digitalization; to analyze the current strategies for developing industrial sectors up to 2035; to analyze the processes of industry digitalization on the basis of reports on implementing the Industry 4.0 concept, various digital platforms for production dispatching, predictive analytics, etc.; to develop the concept of intelligent industrial development and the mechanism of integrating all participants in the processes of digital transformation, including the state. …”
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AI in Marketing Management: Executive Perspectives from Companies

“…Relative advantage and perceived value also influence adoption intentions, albeit to a lesser degree, indicating the perceived benefits and tangible outcomes of AI in improving processes such as segmentation, automation, and predictive analytics. Key differences arise between companies of varying revenue sizes: smaller firms exhibit greater aversion to AI, whereas larger organisations focus on maximizing their strategic benefits to drive innovation. …”
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Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance by Arohi Agarwal, Gagan Singh, Samyak Jain, Piyush Mittal

“…It delves into the notable benefits and challenges encountered in advancing data analytics of the early 21st century.In many countries, Post-marketing surveillance of drug safety relinquishes on a systematic analysis of spontaneous using Generative artificial intelligence (AI) to overcome gaps in the present PV ecosystem is critical to maintaining an uninterrupted record of security and effectiveness within healthcare analytics, data mining techniques, predictive analytics, and the emergence of scientific fields like bioinformatics and health informatics are empowered by Big Data. …”
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Introducing a Markov Chain-Based Energy Awareness Approach for Cloud Data Center Virtual Machine Dynamic Management by Xinbin Huang, Yu Huang, Cecılıa. Mercado

“…This research highlights the importance of combining predictive analytics with robust optimization techniques to improve cloud resource management. …”
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From data to diagnosis: leveraging deep learning in IoT-based healthcare by Miracle A. Atianashie, Chukwuma Chinaza Adaobi

“…Deep learning’s capacity to handle vast and complex datasets by extracting high-level features and enabling predictive analytics is particularly beneficial in healthcare, where timely and accurate diagnosis can significantly influence treatment outcomes. …”
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Generative AI, IoT, and blockchain in healthcare: application, issues, and solutions by Tehseen Mazhar, Sunawar khan, Tariq Shahzad, Muhammad Amir khan, Mamoon M. Saeed, Joseph Bamidele Awotunde, Habib Hamam

“…Generative AI systems like ChatGPT have transformed healthcare by personalizing therapy, diagnostics, and predictive analytics. AI systems can examine massive databases to diagnose diseases early, anticipate dangers, and personalize therapies. …”
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