Advait Patel – författare

Comprehensive exploration of emerging cloud computing technologies, focusing on generative AI, cloud security, sustainable computing practices, and edge computing Next-Generation Technologies in Cloud Computing delves into the development and future of cloud ecosystems, highlighting key technological milestones. Unlike traditional cloud computing books, this volume uniquely integrates AI, cybersecurity, sustainability, and edge computing into a single comprehensive resource. It explores the latest advancements, from generative AI and quantum computing to zero-trust security and green cloud practices, making it a forward-looking guide for readers of all backgrounds. The book bridges theory and practice by including case studies from industries like healthcare, finance, and IoT, showcasing how cloud innovations are transforming real-world applications. Contributions from leading academics, researchers, and industry experts provide valuable perspectives on deploying next-generation cloud solutions. Rather than focusing solely on performance and scalability, this volume emphasizes eco-friendly cloud solutions and the ethical implications of AI-driven cloud systems. It highlights strategies for achieving carbon-neutral cloud infrastructures and securing AI applications responsibly, addressing the growing demand for sustainable and ethical technology practices. Next-Generation Technologies in Cloud Computing includes information on: Machine Learning as a Service (MLaaS) and its advantages for businesses and developers, emphasizing multi-cloud optimizationEdge computing’s role in enhancing real-time data processing, particularly in IoT and 5G networksEco-friendly cybersecurity and AI-powered threat detectionPrivacy-preserving techniques, innovations in IoT platforms, and cost optimization for cloud AIRegulatory frameworks including the EU AI Act, the NIST AI Risk Management Framework, OECD AI Principles, and U.S. Executive Orders on AINext-Generation Technologies in Cloud Computing is an essential resource on the subject for cloud professionals, cybersecurity experts, AI researchers, students, educators, policymakers, and anyone interested in understanding the future of cloud technology.

This edited Book represents critical themes in the evolving intersection of cloud computing and artificial intelligence. Generative AI drives innovation in automation and infrastructure design, while cloud security, DevSecOps, and AI ethics address the need for safe, responsible deployment. Sustainable cloud computing, green cybersecurity, and carbon footprint reduction focus on minimizing environmental impact. Data privacy and governance ensure compliance and trust in AI-powered systems. AI-powered automation, real-time monitoring, and cloud cost optimization enhance efficiency, performance, and resource management. Multi-cloud and hybrid cloud strategies, combined with edge computing, AI, and IoT integration, enable scalability, low-latency processing, and intelligent ecosystems. Predictive AI capabilities support disaster recovery and business continuity, while regulatory compliance and FinOps maintain legal and financial control. Together, these concepts define cloud transformation through AI-driven cloud strategies, enabling resilient, ethical, and sustainable digital infrastructures.

This book bridges the gap between leading-edge AI innovation and real deployment, by offering a practical guide to engineering secure, scalable, and responsible AI. The authors describe a unified framework that merges engineering principles with ethical design, cybersecurity, explainability, and policy alignment. Through expert insights, case studies, and technical guidance, the book empowers researchers, developers, and decision-makers to build AI that users can trust.

This book presents a comprehensive, practitioner-focused exploration of how artificial intelligence (AI) is transforming the way modern cloud systems are designed, deployed, and operated. It will offer the readers blueprint for leveraging AI-powered techniques to build scalable, reliable, and cost-efficient digital platforms, drawing from real-world enterprise practices and cutting-edge research. The book will cover a broad range of topics at the intersection of AI and engineering, including work load forecasting, anomaly detection, cost optimization, intelligent observability, test automation, and self-healing systems. It explores into how AI augments software reliability engineering (SRE), enhances developer experience, automates operational workflows, and brings measurable gains in both performance and financial efficiency.

Understand the core concepts and principles of Identity and Access Management (IAM) in Google Cloud Platform (GCP)