Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends

Sensors, Journal Year: 2023, Volume and Issue: 23(11), P. 5206 - 5206

Published: May 30, 2023

As the global population grows, and urbanization becomes more prevalent, cities often struggle to provide convenient, secure, sustainable lifestyles due lack of necessary smart technologies. Fortunately, Internet Things (IoT) has emerged as a solution this challenge by connecting physical objects using electronics, sensors, software, communication networks. This transformed city infrastructures, introducing various technologies that enhance sustainability, productivity, comfort for urban dwellers. By leveraging Artificial Intelligence (AI) analyze vast amount IoT data available, new opportunities are emerging design manage futuristic cities. In review article, we an overview cities, defining their characteristics exploring architecture IoT. A detailed analysis wireless employed in applications is presented, with extensive research conducted determine most appropriate specific use cases. The article also sheds light on different AI algorithms suitability applications. Furthermore, integration scenarios discussed, emphasizing potential contributions 5G networks coupled advancing modern environments. contributes existing literature highlighting tremendous presented integrating AI, paving way development significantly quality life dwellers while promoting sustainability productivity. IoT, integration, provides valuable insights into future demonstrating how these can positively impact environments well-being inhabitants.

Language: Английский

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Utilization of artificial intelligence in the banking sector: a systematic literature review

Journal of Financial Services Marketing, Journal Year: 2022, Volume and Issue: 28(4), P. 835 - 852

Published: Aug. 11, 2022

Language: Английский

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Ethical considerations and concerns in the implementation of AI in pharmacy practice: a cross-sectional study

BMC Medical Ethics, Journal Year: 2024, Volume and Issue: 25(1)

Published: May 16, 2024

Abstract Background Integrating artificial intelligence (AI) into healthcare has raised significant ethical concerns. In pharmacy practice, AI offers promising advances but also poses challenges. Methods A cross-sectional study was conducted in countries from the Middle East and North Africa (MENA) region on 501 professionals. 12-item online questionnaire assessed concerns related to adoption of practice. Demographic factors associated with were analyzed via SPSS v.27 software using appropriate statistical tests. Results Participants expressed about patient data privacy (58.9%), cybersecurity threats potential job displacement (62.9%), lack legal regulation (67.0%). Tech-savviness basic understanding correlated higher concern scores ( p < 0.001). Ethical implications include need for informed consent, beneficence, justice, transparency use AI. Conclusion The findings emphasize importance guidelines, education, autonomy adopting Collaboration, privacy, equitable access are crucial responsible

Language: Английский

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Artificial intelligence and big data: ontological and communicative perspectives in multi-sectoral scenarios of modern businesses

foresight, Journal Year: 2022, Volume and Issue: 25(1), P. 126 - 143

Published: June 28, 2022

Purpose The purpose of this paper is to see how critical and vital artificial intelligence (AI) big data are in today’s world. Besides this, also seeks explore qualitative theoretical perspectives underscore the importance AI applications multi-sectoral scenarios businesses across Moreover, aims at working out scope ontological communicative based on alongside emphasizing their relevance business organizations that need survive sustain with a view achieve strategic goals. Design/methodology/approach This attempts build direction for management via addressing following research questions concerned assessing relevant organizations; exploring benefits combined modern businesses; underscoring Employing bibliometric analysis along NVivo software do sentiment analysis, develop an understanding what happens when businesses. Findings have tremendous bearing Because comprises enormous information diverse sorts, AI-assisted machines, tools devices help process it quickly, efficiently meaningfully. Therefore, leaders entrepreneurs focus heavily deal range challenges problems particularly context recent crises caused by COVID-19 pandemic. Research limitations/implications There hardly any arena human activity wherein not relevant. implication combining both well so we may find answers difficult challenging concerning just but life large. automated such as natural language processing speech text facilitate meaningful communication various levels other fields activities well. Social implications has layered social implications, conceptually works strategically combine benefit dealing service providers, manufacturers, entrepreneurs, leaders, customers consumers. All stakeholders socio-culturally contextually rooted/situated, study becomes socially Originality/value original piece been envisioned world today. underscores data, they insights arrived globe who could more Big Data facing times.

Language: Английский

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Artificial intelligence adoption in the insurance industry: Evidence using the technology–organization–environment framework

Research in International Business and Finance, Journal Year: 2022, Volume and Issue: 63, P. 101757 - 101757

Published: Sept. 5, 2022

Language: Английский

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Integrating artificial intelligence into a talent management model to increase the work engagement and performance of enterprises

Frontiers in Psychology, Journal Year: 2022, Volume and Issue: 13

Published: Nov. 25, 2022

The purpose of the paper is to create a multidimensional talent management model with embedded aspects artificial intelligence in human resource processes increase employees' engagement and performance enterprise. research was implemented on sample 317 managers/owners Slovenian enterprises. Multidimensional constructs include several implementation organization's activities related field management, especially process acquiring retaining talented employees, appropriate training development organizational culture, leadership, reducing workload employee results show that AI supported teams, employees have positive effect enterprise engagement. will help managers or owners successful work environment by implementing enterprise, leading increased Namely, our contribute efficient into an give top broad insight various must be taken account business order enterprise's competitive advantage.

Language: Английский

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Does the adoption of blockchain technology add intangible benefits to the industrial sector? Evidence from Jordan

Journal of financial reporting & accounting, Journal Year: 2023, Volume and Issue: 22(2), P. 327 - 349

Published: July 19, 2023

Purpose This study aims to examine the feasibility of adopting blockchain technology in Jordan’s industrial sector and its intangible benefits. It also analyzes influence factors like technological, process, cultural leadership readiness on willingness enterprises adopt blockchain. Design/methodology/approach To gain insights into potential adoption benefits for Jordanian sector, this gathered perspectives from a broad range professionals, including financial managers, internal control staff, accounting departments, IT department managers IS-related personnel. was achieved through administration comprehensive questionnaire designed capture their opinions. Findings highlights importance technological shows that can yield significant enterprises. However, did not find relationship between process readiness, intention Practical implications The study’s outcomes underscore prioritizing policymakers intending technology. By doing so, they increase leverage Originality/value pioneering investigates businesses. examines decision sector.

Language: Английский

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E-Government as a Key to the Economic Prosperity and Sustainable Development in the Post-COVID Era

Economies, Journal Year: 2023, Volume and Issue: 11(4), P. 112 - 112

Published: April 6, 2023

Our paper focuses on the role of e-government in relation to economic development within post-COVID era. Nowadays, represents service which utilizes digital technology create electronic pathways improve efficiency public services, increase prosperity, and standard living. In this paper, we argue that presents only proper viable model for administration 21st century by embedding internet-based technologies ensure smooth interactions between government its citizens, solving most socially important problems, enabling internal communication servants, delivering services entire population regardless age or gender. addition, show stakeholders policymakers should foster an adequate non-discriminatory environment through regulatory frameworks, policy guidelines, guarantees. study is based results our own survey was administered using a snowball quasi-random sample 400 respondents (aged 19–26 years; 56.2% females 43.8% males) from Czech Republic (N = 136) Russian Federation 264), whom 58% were women 42% men (M ± SD 45.53 11.46, median 44). enhancement concept has been perceived as effective tool fostering tackling corruption, helping avoid uncertainty. Based theories customer-focus relationship marketing, suggests significant factor influencing success projects citizen orientation, followed channel orientation. We governments developing countries prioritize applications their requests international assistance cooperation, well financial support. Moreover, transformation become key element changing business market needs

Language: Английский

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Post-pandemic implications for crisis innovation: A technological innovation view

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 194, P. 122680 - 122680

Published: June 22, 2023

Language: Английский

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Innovative applications of artificial intelligence during the COVID-19 pandemic

Infectious Medicine, Journal Year: 2024, Volume and Issue: 3(1), P. 100095 - 100095

Published: Feb. 21, 2024

The COVID-19 pandemic has created unprecedented challenges worldwide. Artificial intelligence (AI) technologies hold tremendous potential for tackling key aspects of management and response. In the present review, we discuss possibilities AI technology in addressing global posed by pandemic. First, outline multiple impacts current on public health, economy, society. Next, focus innovative applications advanced areas such as prediction, detection, control, drug discovery treatment. Specifically, AI-based predictive analytics models can use clinical, epidemiological, omics data to forecast disease spread patient outcomes. Additionally, deep neural networks enable rapid diagnosis through medical imaging. Intelligent systems support risk assessment, decision-making, social sensing, thereby improving epidemic control health policies. Furthermore, high-throughput virtual screening enables accelerate identification therapeutic candidates opportunities repurposing. Finally, future research directions combating COVID-19, emphasizing importance interdisciplinary collaboration. Though promising, barriers related model generalization, quality, infrastructure readiness, ethical risks must be addressed fully translate these innovations into real-world impacts. Multidisciplinary collaboration engaging diverse expertise stakeholders is imperative developing robust, responsible, human-centered solutions against emergencies.

Language: Английский

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