Enhancing U.S. workforce productivity through strategic data automation: Key insights and implications DOI Creative Commons

Taiwo Inumidun Adegoke

GSC Advanced Research and Reviews, Год журнала: 2024, Номер 19(2), С. 001 - 012

Опубликована: Май 6, 2024

The review explores how strategic data automation can enhance workforce productivity in the U.S., providing key insights and implications for organizations. As businesses increasingly rely on data-driven decision-making, role of streamlining processes improving efficiency becomes paramount. This delves into potential benefits challenges implementing strategies offers recommendations organizations looking to their productivity. Strategic has revolutionize operate, leading significant improvements By automating repetitive tasks processing, free up valuable time resources, allowing employees focus more value-added activities. However, successful implementation requires careful planning consideration various factors, including security, privacy, regulatory compliance. Key from this include importance aligning initiatives with organizational goals objectives, as well need ongoing monitoring evaluation ensure effectiveness. Additionally, future work, highlighting increased collaboration between humans machines new skills competencies. Overall, provides U.S. It highlights automation, such improved reduced costs, while also addressing considerations leveraging power position themselves success an world.

Язык: Английский

The Convergence of Intelligent Tutoring, Robotics, and IoT in Smart Education for the Transition from Industry 4.0 to 5.0 DOI Creative Commons
Amr Adel

Smart Cities, Год журнала: 2024, Номер 7(1), С. 325 - 369

Опубликована: Янв. 30, 2024

This review paper provides a comprehensive analysis of the automation smart education in context Industry 5.0 from 78 papers, focusing on integration advanced technologies and development innovative, effective, ethical educational solutions for future workforce. As world transitions into an era characterized by human–machine collaboration rapidly evolving technologies, there is urgent need to recognize pivotal role preparing individuals opportunities challenges presented new industrial landscape. The examines key components education, including intelligent tutoring systems, adaptive learning environments, analytics, application Internet Things (IoT) education. It also discusses such as artificial intelligence (AI), machine (ML), robotics, augmented virtual reality (AR/VR) shaping personalized immersive experiences. highlights importance addressing growing demand upskilling reskilling, fostering culture lifelong learning, promoting adaptability, resilience, self-improvement among learners. Furthermore, delves considerations associated with implementation issues data privacy, digital divide, teacher student readiness, potential biases AI-driven systems. Through presentation case studies examples successful initiatives, aims inspire educators, policymakers, industry stakeholders collaborate innovate design effective solutions. Conclusively, outlines emerging trends, directions, research field emphasizing continuous improvement ensure that remains relevant 5.0. By providing holistic understanding components, challenges, this seeks contribute ongoing discourse surrounding its workforce work.

Язык: Английский

Процитировано

30

Current state and prospects of edge computing within the Internet of Things (IoT) ecosystem DOI Creative Commons

Enoch Oluwademilade Sodiya,

Uchenna Joseph Umoga,

Alexander Obaigbena

и другие.

International Journal of Science and Research Archive, Год журнала: 2024, Номер 11(1), С. 1863 - 1873

Опубликована: Фев. 18, 2024

The burgeoning growth of the Internet Things (IoT) has prompted a paradigm shift in computing architectures, leading to emergence and rapid evolution edge computing. This review delves into current state prospects within IoT ecosystem, exploring its significance, challenges, future potential. Edge computing, characterized by decentralized data processing at or near source generation, gained substantial traction owing ability address critical concerns such as latency, bandwidth consumption, privacy issues inherent centralized cloud-based systems. By enabling closer point collection, minimizes latency ensures real-time responses, making it indispensable for latency-sensitive applications like industrial automation, autonomous vehicles, healthcare. integration with devices facilitated creation distributed architectures capable handling massive volumes generated interconnected devices. convergence enables efficient aggregation, analysis, decision-making network's edge, reducing burden on cloud infrastructure optimizing resource utilization. Despite numerous advantages, faces several including constraints, security vulnerabilities, interoperability issues. Resource-constrained often lack computational power storage capacity required complex analytics, necessitating innovative approaches management workload distribution. Moreover, nature environments introduces new risks, robust measures safeguard sensitive mitigate cyber threats. Looking ahead, ecosystem are promising, advancements hardware, software, networking technologies driving innovation adoption. is poised play pivotal role next wave applications, ranging from smart cities systems immersive experiences personalized services. However, realizing full potential requires concerted efforts industry stakeholders existing challenges foster ecosystem-wide collaboration. holds immense revolutionize industries, reshape empower era intelligent, responsive,

Язык: Английский

Процитировано

23

SYNTHESIZING AI'S IMPACT ON CYBERSECURITY IN TELECOMMUNICATIONS: A CONCEPTUAL FRAMEWORK DOI Creative Commons

Philip Olaseni Shoetan,

Olukunle Oladipupo Amoo,

Enyinaya Stefano Okafor

и другие.

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(3), С. 594 - 605

Опубликована: Март 18, 2024

As the telecommunications sector increasingly relies on interconnected digital infrastructure, proliferation of cyber threats poses significant challenges to security and operational integrity. This review presents a conceptual framework for understanding harnessing potential artificial intelligence (AI) in fortifying cybersecurity within industry. The integrates transformative capabilities AI with unique demands telecommunications, aiming enhance threat detection, mitigation, response strategies. It encompasses multidimensional approach that both technical organizational facets, recognizing interconnectedness technology, human factors, regulatory environments. Firstly, delves into application bolstering proactive gathering analysis. Through advanced algorithms machine learning techniques, empowers telecom operators identify anomalous patterns, predict vulnerabilities, pre-emptively adapt defensive measures. Secondly, it explores AI-driven solutions dynamic risk assessment adaptive protocols. By leveraging real-time data analytics automated decision-making, networks can swiftly evolving ensure continuous protection against intrusions or breaches. Furthermore, emphasizes role augmenting through intelligent automation cognitive assistance. offloading routine tasks providing context-aware insights, enables professionals focus strategic initiatives complex scenarios. Lastly, addresses imperative ethical considerations, accountability, transparency deploying telecommunications. advocates responsible governance frameworks prioritize privacy, fairness, bias mitigation while fostering collaboration across industry stakeholders. In summary, this provides roadmap AI's fortify resilience thereby safeguarding critical infrastructure ensuring integrity global communication networks. Keywords: AI, Cybersecurity, Telecommunication, Framework, Conceptual, Impact, Review.

Язык: Английский

Процитировано

22

SUSTAINABLE SMART CITIES: THE ROLE OF FINTECH IN PROMOTING ENVIRONMENTAL SUSTAINABILITY DOI Creative Commons

Chinonye Esther Ugochukwu,

Onyeka Chrisanctus Ofodile,

Chinwe Chinazo Okoye

и другие.

Engineering Science & Technology Journal, Год журнала: 2024, Номер 5(3), С. 821 - 835

Опубликована: Март 17, 2024

Sustainable smart cities are at the forefront of urban development, striving to balance economic prosperity with environmental sustainability. This Review delves into critical role played by Financial Technology (Fintech) in advancing sustainability within city initiatives. Fintech innovations instrumental optimizing resource management, enhancing citizen engagement, and fostering collaborative governance models, thereby contributing overarching goal creating sustainable ecosystems. Through a historical perspective, this traces evolution cities, highlighting transformative impact technological advancements integration solutions. From early planning concepts emergence technologies 21st century, underscores importance leveraging innovation address challenges. The rise has further accelerated evolution, offering innovative financial services tailored support green finance, renewable energy investment, infrastructure development. platforms enable efficient allocation resources, facilitate transparent secure transactions, empower citizens participate By integrating solutions development strategies, can unlock new opportunities for while growth social equity. Looking ahead, holds immense potential pressing challenges such as climate change, pollution, depletion. As continue embrace digital transformation adopt data-driven approaches, promoting will become increasingly crucial. insights embracing emerging technologies, chart path towards more resilient, inclusive, environmentally future. collaboration among stakeholders, including governments, businesses, academia, civil society, drive collective action accelerate transition cities. Keywords: Sustainable, Smart Cities, Fintech, Promoting, Environmental.

Язык: Английский

Процитировано

16

Harmonizing smart technologies with building resilience and sustainable built environment systems DOI Creative Commons
Mohammad Alhassan, Ayah A. Alkhawaldeh, Nour Betoush

и другие.

Results in Engineering, Год журнала: 2024, Номер 22, С. 102158 - 102158

Опубликована: Апрель 23, 2024

Given the escalating concerns posed by climate change-related disasters, there is an urgent need for a more sustainable and resilient built environment. The developing digital revolution in recent years has potential to harness its superior features achieve building sector goals. This paper aims present futuristic perspective on three basic pillars of These comprise sustainability, resilience, utilization Artificial Intelligence (AI) monitoring managing structural health performance. evident context smart buildings their ability enhance energy consumption efficiency, improve quality life, strengthen terms reducing damage facilitating timely maintenance operations. Through comparing components virtual city designed from two types alkali-activated binder concrete (AABC) ordinary Portland cement (OPC) concrete, all AABC showed reduction amount emitted CO2. highest decrease was observed schools AABC, where about 25%, while lowest villas infrastructure; 11% 10% respectively, compared those OPC concrete. results also indicated that instead traditional varieties CO2 emissions up 25%. importance this work resides establishing basis forthcoming research combines intelligent, environmentally friendly, practices.

Язык: Английский

Процитировано

13

A New Trend in Cryptographic Information Security for Industry 5.0: A Systematic Review DOI Creative Commons
Zaffar Ahmed Shaikh, Fahima Hajjej,

Yeter Demir Uslu

и другие.

IEEE Access, Год журнала: 2024, Номер 12, С. 7156 - 7169

Опубликована: Янв. 1, 2024

Malicious assaults and information leakage have grown in importance practically every area of communication technology (ICT) recent years. Enterprise ledger organization, preservation, security, protection are all greatly aided by security (IS). To maintain their positions the market, industries must safeguard data other vital assets. The main goals this paper's systematic review, which covers entire process privacy to introduce cryptographic IS for Industry 5.0 (the Fifth Industrial Revolution) as a comprehensive solution that provides regulatory compliance policies addition industrial goals. review four areas: (i) recognizing need frameworks be developed secure lifecycle; (ii) emphasizing guidelines, procedures, countermeasures 5.0; (iii) applying control, access, availability real-time; (iv) proposing futuristic architecture security. Furthermore, analysis previously published state-of-the-art techniques is presented paper. These survive with various limitations challenges, including intercommunication exchange, fine-grained control interconnectivity-related issues, affect adoption an programmes. At end we investigated few open research problems mentioned those involved design re-encryption-enabled future developments.

Язык: Английский

Процитировано

8

A Review of Transportation 5.0: Advancing Sustainable Mobility Through Intelligent Technology and Renewable Energy DOI Creative Commons
Mohammad Shamsuddoha, Mohammod Abul Kashem, Tasnuba Nasir

и другие.

Future Transportation, Год журнала: 2025, Номер 5(1), С. 8 - 8

Опубликована: Янв. 14, 2025

Transportation 5.0 is an advanced and sophisticated system combining technologies with a focus on human-centered design inclusivity. Its various components integrate intelligent infrastructure, autonomous vehicles, shared mobility services, green energy solutions, data-driven systems to create efficient sustainable transportation network tackle modern urban challenges. However, this evolution of also intended improve accessibility by creating environmentally benign substitutes for traditional fuel-based even when addressing traffic management control issues. Consequently, promote synergy sustainability, the diversified nature ought be efficiently effectively managed. Thus, study aims reveal involvement core component prediction in through systematic literature review. This contemplates causal model under dynamics modeling order address solutions movement toward sustainability context 5.0. From review, addition developed model, it identified that every method reduces environmental impact while increasing passenger convenience overall efficiency transport network, greater improvements developing nations. As variety options, including electric successfully integrated, will eventually enable mobility, multimodal transit options.

Язык: Английский

Процитировано

1

Human-Centric Collaboration and Industry 5.0 Framework in Smart Cities and Communities: Fostering Sustainable Development Goals 3, 4, 9, and 11 in Society 5.0 DOI Creative Commons
Amr Adel,

Noor HS Alani

Smart Cities, Год журнала: 2024, Номер 7(4), С. 1723 - 1775

Опубликована: Июль 5, 2024

The necessity for substantial societal transformations to meet the Sustainable Development Goals (SDGs) has become more urgent, especially in wake of COVID-19 pandemic. This paper examines critical role disruptive technologies, specifically Industry 5.0 and Society 5.0, driving sustainable development. Our research investigation focuses on their impact product development, healthcare innovation, pandemic response, development nature-inclusive business models smart cities. We analyze how these technologies influence SDGs 3 (Good Health Well-Being), 4 (Quality Education), 9 (Industry, Innovation, Infrastructure), 11 (Sustainable Cities Communities). By integrating concepts into cities, we propose a coordinated framework enhance achievement goals. Additionally, provide SWOT analysis evaluate this approach. study aims guide industrialists, policymakers, researchers leveraging technological advancements SDGs.

Язык: Английский

Процитировано

7

REVIEWING THE ROLE OF AI IN DRONE TECHNOLOGY AND APPLICATIONS DOI Creative Commons

Nwankwo Constance Obiuto,

Igberaese Clinton Festus-Ikhuoria,

Oladiran Kayode Olajiga

и другие.

Computer Science & IT Research Journal, Год журнала: 2024, Номер 5(4), С. 741 - 756

Опубликована: Апрель 10, 2024

This comprehensive review delves into the transformative impact of artificial intelligence (AI) on drone technology, examining its pivotal role in revolutionizing various applications. As drones continue to evolve from recreational gadgets indispensable tools across industries, integration AI enhances their capabilities, enabling advanced functionalities and expanding potential use cases. The convergence technology has given rise a myriad applications, transforming industries ranging agriculture surveillance. Machine learning algorithms empower with autonomous navigation allowing them navigate complex environments adapt dynamic scenarios. Computer vision technologies enable perceive analyze visual information, facilitating tasks such as object recognition, tracking, environmental monitoring. These advancements significantly contribute enhanced aerial surveying, precision agriculture, disaster response efforts. In realm AI-equipped aid crop monitoring, disease detection, yield estimation, optimizing resource allocation boosting agricultural productivity. Drones AI-driven capabilities are increasingly employed wildlife conservation, response, providing real-time data for efficient decision-making. Recent trends AI-infused highlight evolution. Edge computing solutions process locally, reducing latency enhancing responsiveness. Reinforcement learn experiences, adapting performance over time. Swarm intelligence, an emerging field leverages coordinated synchronized actions among multiple drones, collaborative tasks. conclusion, this sheds light synergy between unlocked new possibilities response. continues advance, promises redefine future introducing unprecedented efficiencies diverse sectors. Keywords: Role, AI, Drone, Applications, Technology.

Язык: Английский

Процитировано

5

Interconnected Healthcare 5.0 Ecosystems DOI

A. Ashwini,

V. Kavitha,

Sasitharan Balasubramaniam

и другие.

Опубликована: Фев. 2, 2025

Язык: Английский

Процитировано

0