Journal of Climate Finance, Journal Year: 2025, Volume and Issue: unknown, P. 100065 - 100065
Published: March 1, 2025
Language: Английский
Digital Discovery, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
AI-integrated electrochemical sensors boost peak resolution and sensitivity, enabling precise detection of electroactive species in complex matrices. This method enhances analytical capabilities, providing an analytically robust solution.
Language: Английский
Citations
2
Advances in finance, accounting, and economics book series, Journal Year: 2025, Volume and Issue: unknown, P. 79 - 96
Published: Jan. 31, 2025
This chapter investigates the extraordinary job of computer-based intelligence in current business conditions, accentuating its effect on variety and advancement. Simulated advances are progressively being used to smooth out enrolment processes, alleviate predispositions, encourage comprehensive workplaces. By dissecting huge datasets distinguishing designs, simulated devices upgrade dynamic employing, execution assessments, group elements, prompting more impartial practices. The discusses important theoretical frameworks that support integration AI promotion workplace diversity, such as algorithmic fairness theory diversity inclusion theory. It additionally presents contextual analyses fruitful artificial intelligence-driven drives, featuring how associations like IBM Accenture influence foster designated systems track measurements.
Language: Английский
Citations
2
Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 73 - 100
Published: Dec. 30, 2024
This chapter examines artificial intelligence's (AI) transformative impact on adaptive education for students with disabilities. explores how AI-driven technologies, including intelligent tutoring systems, speech recognition tools, and personalized learning algorithms, are reshaping educational experiences to be more inclusive effective. By leveraging these innovations, educators can tailor content support meet individual needs, enhance accessibility, overcome barriers education. Drawing case studies practical examples, the highlights ability of AI revolutionize traditional models by delivering customized, responsive diverse Emphasizing potential foster equity inclusion, underscores its role in advancing opportunities all learners creating a accessible landscape.
Language: Английский
Citations
13
Open Access Research Journal of Engineering and Technology, Journal Year: 2024, Volume and Issue: 6(1), P. 039 - 051
Published: March 19, 2024
This paper delves into the significance, challenges, and potential of AI applications within oil gas sector. In dynamic landscape operations, efficiency safety stand as paramount concerns. Traditional engineering processes, while robust, often face limitations in adapting to evolving complexities industry. However, advent technologies offers a paradigm shift, presenting unprecedented opportunities for optimization risk mitigation. explores multifaceted role processes throughout value chain. It examines how AI, encompassing machine learning, deep predictive analytics, empowers decision-makers with real-time insights, optimizing exploration, production, transportation, refining processes. Efficiency gains are witnessed through maintenance strategies, enabling proactive asset management minimizing downtime. Additionally, AI-driven process techniques enhance resource allocation, streamlining operations maximizing output reducing costs. Moreover, AI's integration fosters culture by augmenting assessment hazard identification capabilities. Through advanced algorithms, systems analyze vast datasets detect anomalies predict hazards, intervention accident prevention. journey towards is not without challenges. Technical complexities, regulatory frameworks, cyber security concerns pose significant hurdles that require careful navigation. ethical considerations surrounding data privacy algorithmic bias necessitate robust governance frameworks ensure responsible deployment. Looking ahead, delineates future trends adoption underscores continued innovation disruption, reshaping workforce dynamics skill requirements. Embracing only drives operational excellence but also propels industry sustainable resilient
Language: Английский
Citations
11
Economic Analysis and Policy, Journal Year: 2024, Volume and Issue: 83, P. 548 - 561
Published: July 6, 2024
Language: Английский
Citations
8
Flexible Services and Manufacturing Journal, Journal Year: 2024, Volume and Issue: unknown
Published: Nov. 30, 2024
Abstract Industry 5.0 (I5.0) marks a transformative shift toward integrating advanced technologies with human-centric design to foster innovation, resilient manufacturing, and sustainability. This study aims examine the evolution collaborative dynamics of I5.0 research through bibliometric analysis 942 journal articles from Scopus database. Our findings reveal significant increase in research, particularly post-2020, yet highlight fragmented collaboration networks noticeable gap between institutions developed developing countries. Key thematic areas identified include human-robot collaboration, data management security, AI-driven sustainable practices. These insights suggest that more integrated approach is essential for advancing I5.0, calling strengthened global collaborations balanced emphasis on both technological elements fully realize its potential driving industrial provides first comprehensive offering valuable researchers practitioners.
Language: Английский
Citations
6
Advances in hospitality, tourism and the services industry (AHTSI) book series, Journal Year: 2024, Volume and Issue: unknown, P. 17 - 34
Published: July 26, 2024
The advent of artificial intelligence (AI) has revolutionized service marketing, offering unprecedented opportunities to enhance customer engagement and experience. This chapter delves into the transformative impact AI-driven innovations on marketing strategies, emphasizing how AI technologies such as machine learning, natural language processing, predictive analytics are redefining interactions. By automating personalized communications, predicting needs, providing real-time solutions, is enabling businesses deliver more efficient, tailored, satisfying experiences. explores various applications, from chatbots virtual assistants advanced data analysis, illustrating these tools being integrated foster deeper relationships drive business growth. Through case studies empirical data, demonstrates practical implications in enhancing delivery, improving satisfaction, creating a competitive edge market.
Language: Английский
Citations
4
Methods in microbiology, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
0
Journal of Infrastructure Policy and Development, Journal Year: 2025, Volume and Issue: 9(1), P. 9417 - 9417
Published: Jan. 14, 2025
This project analyzes the evolution of manufacturing sector in Portugal from 2009 to 2021, focusing on variations number active companies across various subcategories, such as food, textiles, and metal product industries. The goal this analysis is understand dynamics growth contraction within each sector, providing insights for adjust their market operational strategies. Key objectives include analyzing overall companies, identifying subcategories with notable changes, a comprehensive observed trends patterns. study based data PORDATA 2024, research employs temporal trend analysis, linear quadratic regression, Pareto representation identify patterns decline. By comparing annual data, uncovers periods decline, allowing deeper understanding sector’s dynamics. findings also highlight economic crises during Covid-19 pandemic, recommendations action are presented support businesses resilience continuity. These results valuable sectors analyzed policy makers, guiding strategic decisions navigate complexities ensuring long-term organizational sustainable success.
Language: Английский
Citations
0
Frontiers in Artificial Intelligence, Journal Year: 2025, Volume and Issue: 7
Published: Jan. 15, 2025
The rapid adoption and evolving nature of artificial intelligence (AI) is playing a significant role in shaping the music streaming industry. AI has become key player transforming digital industry, particularly enhancing user experiences driving subscription growth. Through automation, platforms personalize recommendations, optimize offerings, improve customer support services. This article reviews consumer behaviors on (DMSP), with focus recommendation algorithms, dynamic pricing models, marketing future Potential challenges related to privacy, ethics, algorithmic biases are also discussed, showcasing how revolutionizing
Language: Английский
Citations
0