Turning Systemic Vulnerabilities into Strategic Opportunities: A Research Proposal for Societal Grand Challenges

Published: Jan. 1, 2025

Language: Английский

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Securing Healthcare Innovations

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 343 - 364

Published: March 7, 2025

In the rapidly evolving landscape of healthcare innovation, integration Artificial Intelligence (AI) in FDA-regulated medical devices presents unique challenges and opportunities cybersecurity. This chapter delves into critical importance robust cybersecurity frameworks tailored specifically for devices, particularly those powered by AI. It highlights multifaceted risks associated with these technologies, including data breaches, unauthorized access, potential threats to patient safety. By exploring current regulations, best practices, emerging frameworks, aims provide a comprehensive guide organizations, manufacturers, regulatory bodies. The discourse emphasizes need proactive approach security, integrating AI-driven solutions enhance threat detection response capabilities.

Language: Английский

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Navigating Emerging Threats

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 327 - 342

Published: March 7, 2025

The rapid advancement of artificial intelligence (AI) in healthcare diagnostics offers significant opportunities for enhancing patient care, improving accuracy, and increasing efficiency. However, this evolution also presents novel cybersecurity challenges that must be addressed to ensure the safety efficacy AI-driven medical devices. This chapter explores intersection AI technologies within realm diagnostics, emphasizing importance adhering FDA regulations. It provides a comprehensive overview emerging threats, including data breaches, adversarial attacks, vulnerabilities unique systems. outlines effective strategies mitigating these risks, such as implementing robust frameworks, conducting thorough risk assessments, fostering culture security awareness among stakeholders.

Language: Английский

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Future of Blue-Green Cities Emerging Trends and Innovations in iCloud Infrastructure

Advances in public policy and administration (APPA) book series, Journal Year: 2024, Volume and Issue: unknown, P. 223 - 244

Published: Dec. 5, 2024

The future of urban development is increasingly focused on the integration blue-green infrastructure, which combines natural and engineered systems to enhance resilience, sustainability, livability. This paper explores emerging trends innovations in cities, emphasizing critical role cloud infrastructure supporting these initiatives. By leveraging cloud-based technologies, municipalities can improve data management, facilitate real-time monitoring, enable collaborative decision-making processes. study analyzes potential smart water management systems, green spaces, AI-driven analytics create adaptive environments. Furthermore, it discusses challenges opportunities associated with implementing city projects. Ultimately, findings aim provide insights for planners, policymakers, researchers interested shaping sustainable futures.

Language: Английский

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Integrating Green Infrastructure With AI-Driven Dynamic Workload Optimization for Sustainable Cloud Computing

Advances in public policy and administration (APPA) book series, Journal Year: 2024, Volume and Issue: unknown, P. 423 - 442

Published: Dec. 5, 2024

The rapid growth of cloud computing has raised concerns about its environmental impact, particularly in terms energy consumption and carbon emissions. This chapter explores the integration green infrastructure with AI-driven dynamic workload optimization to promote sustainable practices. By leveraging AI algorithms, service providers can dynamically adjust resource allocation, optimize use, enhance overall operational efficiency. implementation infrastructure, including renewable sources energy-efficient data centers, further supports reduction ecological footprint associated services. examines principles strategies for achieving synergy between technologies presenting case studies that demonstrate successful implementations. findings indicate this integrated approach not only enhances sustainability but also improves cost-effectiveness resilience, positioning organizations meet both goals business objectives.

Language: Английский

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Innovative Technology Leadership and Program Management

Advances in public policy and administration (APPA) book series, Journal Year: 2024, Volume and Issue: unknown, P. 327 - 346

Published: Dec. 5, 2024

Innovative technology leadership is crucial for driving the development and implementation of AI-powered solutions in blue-green infrastructure (BGI). This chapter explores how AI emerging technologies can enhance management water green spaces to create sustainable, resilient urban environments. By integrating into planning, monitoring, optimization BGI, cities better manage stormwater, reduce flooding, improve biodiversity, public spaces. The role managing cross-disciplinary teams, fostering collaboration, ensuring alignment technological innovation with environmental goals highlighted. Case studies best practices are provided demonstrate successful deployment BGI solutions. Chapter also addresses challenges scaling these need effective program ensure sustainability, community engagement, policy alignment.

Language: Английский

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Revolutionizing Sustainable Learning With AI Secure and Scalable Data Techniques for Educational Advancement

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 365 - 380

Published: Dec. 20, 2024

This chapter explores the transformative potential of artificial intelligence (AI) in fostering sustainable learning environments. By integrating advanced data techniques, we aim to enhance educational practices, promote inclusivity, and improve learner outcomes. We discuss challenges faced traditional models how AI-driven solutions can address these issues by providing personalized experiences, optimizing resource allocation, facilitating real-time analytics. Furthermore, examine importance secure management practices ensure student privacy ethical implications using AI education. Through case studies empirical evidence, highlight successful implementations settings, demonstrating their impact on advancement. serves as a comprehensive guide for educators, policymakers, technologists seeking leverage learning.

Language: Английский

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Leveraging AI for Continuous Integration and Delivery Enhancing Developer Productivity in Smart Education and Sustainable Learning

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 287 - 300

Published: Dec. 20, 2024

Continuous Integration and Delivery (CI/CD) practices are crucial for enhancing developer productivity ensuring seamless software development in smart education sustainable learning environments. Leveraging Artificial Intelligence (AI) within CI/CD pipelines introduces automation, predictive analysis, intelligent monitoring, reducing manual intervention accelerating the cycle. This chapter explores how AI-driven enhances efficiency of delivery technology (EdTech) systems. It covers AI's role automating testing, debugging, deployment processes while scalability adaptability. Furthermore, discusses implications AI-powered promoting ecosystems, improving resource utilization, fostering a more personalized adaptive experience students.

Language: Английский

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AI-Driven Risk Management in Financial Services From Theory to Practice in Smart Education

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 77 - 92

Published: Dec. 20, 2024

This chapter explores the transformative role of AI-driven risk management in financial services, emphasizing its application within smart education and sustainable learning environments. As institutions increasingly adopt AI technologies to enhance assessment, fraud detection, compliance management, this outlines theoretical underpinnings practical implications educational contexts. By analyzing case studies real-world implementations, we highlight how tools can provide actionable insights for decision-making institutions, promote transparency, support practices. Furthermore, addresses challenges limitations integrating into processes, offering recommendations overcoming these hurdles. Through exploration, aim educators professionals with a comprehensive understanding AI's potential revolutionize practices both sectors.

Language: Английский

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AI-Enhanced Self-Healing Cloud Architectures for Data Integrity, Privacy, and Sustainable Learning

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 93 - 106

Published: Dec. 20, 2024

In the era of digital transformation, integrity and privacy data have become paramount concerns for organizations educational institutions alike. This chapter explores concept AI-enhanced self-healing cloud architectures, which leverage advanced artificial intelligence algorithms to automatically detect, diagnose, rectify anomalies in real-time. By incorporating mechanisms, these architectures ensure while maintaining operational efficiency. The discusses underlying principles role machine learning predictive maintenance, implications sustainable environments. Case studies illustrate successful implementations highlight benefits adopting such innovative solutions computing. Ultimately, this advocates a paradigm shift towards more resilient infrastructures that not only enhance security but also support practices contexts.

Language: Английский

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