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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Predictive performance of count regression models versus machine learning techniques: A comparative analysis using an automobile insurance claims frequency dataset. by Gadir Alomair

“…While machine learning (ML) techniques have been explored for predictive analytics in other contexts, their application to zero-inflated insurance data remains limited. …”
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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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Market Trends in 2024 in the IT Project Management Industry by Nicoleta-Madalina Stan, Adrian Bogorin Predescu, Aurel Mihail Titu

“…The emergence of artificial intelligence and machine learning is transforming project management tools, offering predictive analytics and improved decision-making abilities. …”
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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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Exploring the potential of AI-driven food waste management strategies used in the hospitality industry for application in household settings by Quintana M. Clark, Disha Basavaraja Kanavikar, Jason Clark, Patrick J. Donnelly

“…The hospitality industry, particularly hotels and restaurants, has implemented AI technologies through companies like Leanpath, Winnow, and Kitro, which use real-time data and predictive analytics to monitor, categorize, and reduce food waste. …”
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Leveraging artificial intelligence and advanced food processing techniques for enhanced food safety, quality, and security: a comprehensive review by Sambandh Bhusan Dhal, Debashish Kar

“…Additionally, the integration of AI with emerging technologies such as the Internet of Things, blockchain, and AI-powered sensors enables proactive risk management, predictive analytics, and automated quality control. By examining these innovations' potential to enhance transparency, efficiency, and decision-making within food systems, this review identifies current research gaps and proposes strategies to address barriers such as data limitations, model generalizability, and ethical concerns. …”
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Do indigenous people get left behind? An innovative methodology for measuring the unmeasurable economic conditions and poverty from the poorest region of Luzon, Philippines by Emmanuel A. Onsay, Jomar F. Rabajante

“…This work puts forth fresh approaches to quantify the incalculable multifaceted poverty and socioeconomic conditions: (i) a thorough statistical analysis using diagnostic and descriptive analytics to examine socioeconomic situations; (ii) combining sophisticated econometrics and predictive analytics to measure multidimensional poverty; and (iii) integrating machine learning to model socioeconomic situations and prescriptive analytics to develop policy. …”
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A Spatial Transformation Based Next Frame Predictor by Saad Mokssit, Daniel Bonilla Licea, Bassma Guermah, Mounir Ghogho

“…These findings underscore the potential of our model to significantly improve the predictive analytics capabilities of autonomous driving systems, thereby enhancing their safety and reliability in dynamic environments.…”
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From Data to Decisions: A Smart IoT and Cloud Approach to Environmental Monitoring by Guerbaoui Mohammed, El Faiz Samira, Ed-Dahhak Abdelali, Lachhab Abdeslam, Benhala Bachir, Bakziz Zakaria, Ichou Ismail, Selmani Abdelouahed

“…Future enhancements could include the integration of additional sensors and the application of machine learning algorithms for predictive analytics. Overall, the project demonstrates the potential of IoT and data analytics in addressing real-world challenges related to environmental monitoring.…”
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Design of an iterative method for enhanced early prediction of acute coronary syndrome using XAI analysis by Shital Hajare, Rajendra Rewatkar, K.T.V. Reddy

“…Implications of this research extend beyond theoretical advancement, offering tangible enhancements in ACS predictive analytics. The enhanced model promises improved patient outcomes through timely and accurate ACS detection, thus optimizing healthcare resource allocation. …”
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A Review of ICT Integration in Agricultural Extension Services. A Global Perspective by Byamukama, Willbroad, Ssemakula, Edward, Ssekandi, Joesph, Arinda, Shaman, Businge, Phelix, Kalibwani, Rebecca, Atukunda, Christian, Turyasingura, Benson

“…Future prospects include AI-driven predictive analytics, blockchain for transparent supply chains, and augmented/virtual reality for training.…”
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REVOLUTIONIZING LUXURY: THE ROLE OF AI AND MACHINE LEARNING IN ENHANCING MARKETING STRATEGIES WITHIN THE TOURISM AND HOSPITALITY LUXURY SECTORS by Maria Nascimento CUNHA, Manuel PEREIRA, António CARDOSO, Jorge FIGUEIREDO, Isabel OLIVEIRA

“…AI and ML applications, such as chatbots for 24/7 customer service and predictive analytics for tailoring travel recommendations, have greatly improved customer interaction and operational efficiencies. …”
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Next-generation sequencing and immuno-informatics for designing a multi-epitope vaccine against HSV-1-induced uveitis by He Cao, Zhi Cao, Yue Han, Jing Shan

“…Molecular docking simulations showed strong binding interactions between the vaccine and TLR-9, suggesting enhanced antigen presentation capabilities.ConclusionThis comprehensive immuno-informatics approach provides a precision immunotherapy strategy for uveitis by leveraging computational modeling and predictive analytics to design a multi-epitope vaccine for HSV-1. …”
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