A REVIEW OF SMART WATER MANAGEMENT SYSTEMS FROM AFRICA AND THE UNITED STATES

Engineering Science & Technology Journal, Journal Year: 2024, Volume and Issue: 5(4), P. 1231 - 1242

Published: April 10, 2024

This review paper comprehensively examines smart water management systems, focusing on their development, implementation, and impacts within Africa the United States. It delves into theoretical frameworks that underlie these including integrating cyber-physical sustainable development principles, systems theory in management. The further explores technological innovations driving management, such as Internet of Things (IoT), Artificial Intelligence (AI), remote sensing. discusses policy regulatory support or hinder advancements different regions. Additionally, it assesses environmental, social, economic highlighting benefits conservation, improved access to clean water, efficiency gains. challenges facing implementation are critically analyzed, technical, financial, obstacles. Future directions for also discussed, emphasizing potential scalability, adaptation, importance cross-sectoral international collaboration. concludes by underscoring necessity technology, policy, community engagement efforts calls research collaboration harness full addressing global challenges. Keywords: Smart Water Management, Sustainable Development, Policy Frameworks, Conservation.

Language: Английский

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The role of AI-Driven predictive analytics in optimizing IT industry supply chains

International Journal of Management & Entrepreneurship Research, Journal Year: 2024, Volume and Issue: 6(5), P. 1489 - 1497

Published: May 4, 2024

This review paper examines the pivotal role of AI-driven predictive analytics in optimizing supply chain operations within IT industry. By leveraging machine learning, deep and neural networks, can significantly enhance demand forecasting, inventory management, supplier selection, risk management. Despite its potential to revolutionize chains, integration AI faces challenges, including data quality, need for skilled personnel, organizational resistance. Strategic implementation approaches are discussed, emphasizing robust infrastructure, stakeholder engagement, continuous innovation. contributes academic discourse by highlighting AI's economic social implications chains suggesting directions future research. It is a comprehensive guide practitioners academics navigating complexities optimization. Keywords: Predictive Analytics, Supply Chain Optimization, Industry, Machine Learning, Implementation.

Language: Английский

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Theoretical insights into AI product launch strategies for start-ups: Navigating market challenges

International Journal of Frontiers in Science and Technology Research, Journal Year: 2024, Volume and Issue: 6(1), P. 062 - 072

Published: March 26, 2024

Launching AI products presents unique challenges for start-ups, requiring a deep understanding of market dynamics and effective strategic planning. This paper explores theoretical frameworks practical approaches to help start-ups navigate the complexities product launches. We begin by analyzing challenges, including competitive landscapes, segmentation, regulatory considerations. Drawing from models such as lean startup methodology, crossing chasm theory, blue ocean strategy, we propose comprehensive framework launch strategies. Tactical MVP development, customer-centricity, partnerships, scalability considerations are discussed facilitate successful Implementation talent acquisition, resource allocation, investor management, addressed alongside ethical in deployment. Case studies examples offer insights both failed Through this exploration, aim equip with necessary drive launches an ever-evolving landscape.

Language: Английский

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Adaptive AI in precision agriculture: A review: Investigating the use of self-learning algorithms in optimizing farm operations based on real-time data

Open Access Research Journal of Multidisciplinary Studies, Journal Year: 2024, Volume and Issue: 7(2), P. 016 - 030

Published: April 7, 2024

This study investigates the transformative impact of adaptive Artificial Intelligence (AI) on precision agriculture, focusing optimizing farm operations through real-time data analysis. The primary objective was to assess how AI technologies enhance efficiency, productivity, and sustainability agricultural practices. Employing a systematic literature review content analysis, methodology involved scrutinizing peer-reviewed articles grey from key databases, applying stringent inclusion exclusion criteria ensure relevance quality. Key findings reveal that significantly improves by enabling precise monitoring management crops, soil, environmental conditions. integration IoT devices machine learning algorithms facilitates leading optimized resource use, reduced impact, increased crop yields. Economic benefits include cost savings efficient management, while advantages encompass minimized chemical use enhanced sustainability. Challenges identified high implementation costs, technical complexity, privacy concerns. However, solutions such as policy support, technological advancements, stakeholder collaboration are proposed overcome these barriers. Lastly, holds potential revolutionize agriculture making it more efficient, sustainable, productive. Future research should focus developing accessible, robust fostering an environment conducive adoption. underscores need for continued innovation support fully realize in agriculture.

Language: Английский

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Integrating Artificial Intelligence in Construction Management: Improving Project Efficiency and Cost-effectiveness

Deleted Journal, Journal Year: 2024, Volume and Issue: 4(2), P. 639 - 647

Published: March 26, 2024

The construction industry faces challenges such as project complexity, delays, and communication issues. Leveraging AI, particularly through data analysis, predictive analytics, machine learning, addresses these by optimizing planning, scheduling, risk management. This paper outlines strategies for AI integration, including collection, learning algorithms, cloud computing. Case studies highlight successful implementations, showcasing benefits increased efficiency, cost savings, improved safety. However, like security workforce acceptance must be considered. abstract concludes discussing future trends encouraging the to embrace enhanced outcomes.

Language: Английский

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Circular Economy Principles and Their Integration into Global Supply Chain Strategies

Finance & Accounting Research Journal, Journal Year: 2024, Volume and Issue: 6(5), P. 747 - 762

Published: May 12, 2024

The concept of circular economy has gained significant traction in recent years as a holistic approach to sustainable development and resource management. This review explores the principles their integration into global supply chain strategies. transition from linear 'take-make-dispose' model focused on recovery, reuse, regeneration is driving paradigm shift how businesses operate manage chains. Key economy, including designing out waste pollution, keeping products materials use, regenerating natural systems, are examined context Strategies for implementing across various stages chain, product design manufacturing distribution, consumption, end-of-life management, discussed. highlights benefits adopting strategies, reduced reduction, cost savings, enhanced resilience external shocks. Case studies examples diverse industries illustrate successful implementation demonstrating tangible environmental, social, economic benefits. Challenges barriers adoption chains also addressed, regulatory hurdles, technological limitations, cultural barriers. overcoming these challenges promoting mindset among stakeholders explored, emphasizing importance collaboration, innovation, cross-sector partnerships. strategies offers opportunities growth, resilience, value creation. By embracing circularity, can unlock new sources competitive advantage while contributing towards more regenerative economy. Keywords: Circular Economy, Supply Chain, Sustainability, Integration, Challenges, Opportunities.

Language: Английский

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Integrative analysis of AI-driven optimization in HIV treatment regimens

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(6), P. 1314 - 1334

Published: June 7, 2024

The integration of artificial intelligence (AI) into HIV treatment regimens has revolutionized the approach to personalized care and optimization strategies. This study presents an in-depth analysis role AI in transforming treatment, focusing on its ability tailor therapy individual patient needs enhance outcomes. AI-driven involves utilization advanced algorithms computational techniques analyze vast amounts data, including genetic information, viral load measurements, history. By harnessing power machine learning predictive analytics, can identify patterns trends data that may not be readily apparent human clinicians. One key benefits is personalize based characteristics disease progression. considering factors such as drug resistance profiles, comorbidities, lifestyle factors, recommend most effective well-tolerated options for each patient, leading improved adherence clinical Furthermore, enables continuous monitoring adjustment real time, allowing healthcare providers respond rapidly changes status evolving dynamics. proactive management help prevent failure development resistance, ultimately better long-term outcomes patients. Despite transformative potential, without challenges. Ethical considerations, privacy concerns, need robust validation regulatory oversight are all important must addressed ensure safe implementation practice. In conclusion, integrative presented this underscores significant impact personalization regimens. leveraging technologies, approaches needs, quality life people living with HIV. Keywords: Integrative Analysis, AI- Driven, Optimization, Treatment, Regimens.

Language: Английский

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Supply chain integrating sustainability and ethics: Strategies for modern supply chain management

World Journal of Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 22(1), P. 1930 - 1953

Published: April 30, 2024

This review paper explores the integration of sustainability and ethics in modern supply chain management, emphasizing need for organizations to align their operations with environmental social responsibilities. The objective is synthesize existing research practices propose a comprehensive strategy sustainable ethical management. employs systematic literature review, analyzing over 150 peer-reviewed articles industry reports assess evolution within chains. focuses on identifying core themes, challenges, successful documented body knowledge. Key findings indicate that hinges organizational commitment, regulatory compliance, stakeholder involvement. identifies transparency, traceability, collaboration as pivotal elements drive practices. Furthermore, it discusses role technological advancements such block AI enhancing these conclusion posits integrating not only mitigates risks enhances compliance but also provides competitive advantages terms innovation market positioning. recommends strategic framework includes policy development, training programs, technology adoption foster culture sustainability. By providing current methodologies outcomes, this contributes discourse improving through practices, offering valuable insights academics practitioners alike.

Language: Английский

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Innovations in real-time infectious disease surveillance using AI and mobile data

International Medical Science Research Journal, Journal Year: 2024, Volume and Issue: 4(6), P. 647 - 667

Published: June 6, 2024

The integration of artificial intelligence (AI) and mobile health data has ushered in a new era real-time infectious disease surveillance, offering unprecedented insights into dynamics enabling proactive public interventions. This paper explores the innovative applications AI transforming traditional surveillance systems for diseases. By harnessing power algorithms, coupled with vast amount generated from devices, researchers authorities can now monitor outbreaks greater accuracy efficiency. AI-driven predictive models analyze diverse datasets, including demographic information, travel patterns, social media activity, to detect early signs emergence predict potential outbreaks. use provides wealth information that was previously inaccessible methods. Mobile apps, wearables, other connected devices enable continuous monitoring individuals' indicators, allowing detection symptoms rapid response threats. Furthermore, geolocation facilitates tracking population movements identification high-risk areas transmission. However, this approach also presents challenges ethical considerations. Privacy concerns regarding collection must be carefully addressed ensure rights are protected. Additionally, issues related quality, interoperability, algorithm bias need mitigated reliability effectiveness systems. In conclusion, holds immense promise revolutionizing surveillance. leveraging these technologies, gain valuable dynamics, enhance capabilities, implement targeted interventions prevent spread it is essential address considerations associated its responsible effective implementation. Keywords: Innovations, Real-Time Infectious Disease, Surveillance, AI, Data.

Language: Английский

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Managing global supply chain teams: human resource strategies for effective collaboration and performance

GSC Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 19(2), P. 013 - 031

Published: May 6, 2024

This study examines the role of human resource (HR) strategies in enhancing collaboration and performance within global supply chains, an area increasing importance context globalized business operations. The primary objective is to identify analyze current trends HR practices that contribute effective chain management, focusing on adaptability, technological integration, sustainability, ethical practices. Employing a systematic literature review content analysis as its methodology, draws academic journals, conference proceedings, industry reports from databases such Scopus, Web Science, Google Scholar. Key findings reveal adaptability flexible work arrangements, supported by digital technologies, are essential for operational resilience employee engagement. integration sustainability considerations into identified crucial maintaining competitive advantage ensuring regulatory compliance. Furthermore, development cultural intelligence inclusive leadership teams highlighted vital fostering across diverse landscapes. concludes strategic management plays pivotal navigating challenges leveraging opportunities chains. Recommendations practitioners emphasize continuous learning, embracing transformation, integrating also outlines areas further research, including impact emerging technologies long-term effects sustainable organizational performance. research contributes valuable insights optimizing enhance

Language: Английский

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