Author: Abhinav Krishna
Publisher: Springer Nature
ISBN:
Category :
Languages : en
Pages : 332
Book Description
AI Integration in Software Development and Operations
Author: Abhinav Krishna
Publisher: Springer Nature
ISBN:
Category :
Languages : en
Pages : 332
Book Description
Publisher: Springer Nature
ISBN:
Category :
Languages : en
Pages : 332
Book Description
Synergizing AI, DevOps, and Deep Learning: Integrating NLP for Next-Generation Innovations
Author: Venkata Mohit Tamanampudi
Publisher: Libertatem Media Private Limited
ISBN: 8197138257
Category : Computers
Languages : en
Pages : 207
Book Description
This book explores the powerful intersection of Artificial Intelligence (AI), DevOps, Natural Language Processing (NLP), and Deep Learning, focusing on how these technologies can be combined to build more efficient, automated, and intelligent systems. It delves into the principles behind AI and DevOps, offering a roadmap for integrating these practices to enable continuous delivery and automation of machine learning models. NLP is highlighted as a critical technology that bridges human-computer interaction, while Deep Learning provides the backbone for powerful, data-driven decision-making systems. Readers will gain practical insights into building scalable systems, utilizing AI-driven DevOps pipelines, and integrating NLP for developing smart, interactive applications. The book will provide real-world examples and step-by-step guides for adopting cutting-edge AI/ML methodologies with the speed and agility of DevOps processes, making it an essential read for data scientists, AI engineers, and DevOps practitioners.
Publisher: Libertatem Media Private Limited
ISBN: 8197138257
Category : Computers
Languages : en
Pages : 207
Book Description
This book explores the powerful intersection of Artificial Intelligence (AI), DevOps, Natural Language Processing (NLP), and Deep Learning, focusing on how these technologies can be combined to build more efficient, automated, and intelligent systems. It delves into the principles behind AI and DevOps, offering a roadmap for integrating these practices to enable continuous delivery and automation of machine learning models. NLP is highlighted as a critical technology that bridges human-computer interaction, while Deep Learning provides the backbone for powerful, data-driven decision-making systems. Readers will gain practical insights into building scalable systems, utilizing AI-driven DevOps pipelines, and integrating NLP for developing smart, interactive applications. The book will provide real-world examples and step-by-step guides for adopting cutting-edge AI/ML methodologies with the speed and agility of DevOps processes, making it an essential read for data scientists, AI engineers, and DevOps practitioners.
Integrating Artificial Intelligence with DevOps
Author: Sumanth Tatineni
Publisher: Libertatem Media Private Limited
ISBN: 8197138214
Category : Computers
Languages : en
Pages : 251
Book Description
Unlock the future of software development with Integrating Artificial Intelligence with DevOps: Advanced Techniques, Predictive Analytics, and Automation for Real-Time Optimization and Security in Modern Software Development. This comprehensive monograph is a must-read for professionals seeking to revolutionize their DevOps workflows through the power of AI. Dive deep into the intricate integration of Artificial Intelligence within DevOps practices and discover advanced methodologies that enhance every stage of the software development lifecycle. From predictive analytics and intelligent automation to real-time optimization and robust security measures, this book offers a wealth of knowledge for optimizing software delivery. Explore practical applications, in-depth case studies, and best practices that illustrate the transformative potential of AI in DevOps. Each chapter builds on the previous, providing a seamless and cohesive narrative that guides readers through foundational concepts to advanced implementations. Whether you're looking to improve CI/CD pipelines, automate testing and monitoring, manage infrastructure more efficiently, or enhance security with AI-driven techniques, this book equips you with the tools and insights needed to ensure high-quality, secure, and efficient software delivery. Join the vanguard of modern software development with Integrating Artificial Intelligence with DevOps, and harness AI to achieve real-time optimization and unparalleled security in your DevOps processes.
Publisher: Libertatem Media Private Limited
ISBN: 8197138214
Category : Computers
Languages : en
Pages : 251
Book Description
Unlock the future of software development with Integrating Artificial Intelligence with DevOps: Advanced Techniques, Predictive Analytics, and Automation for Real-Time Optimization and Security in Modern Software Development. This comprehensive monograph is a must-read for professionals seeking to revolutionize their DevOps workflows through the power of AI. Dive deep into the intricate integration of Artificial Intelligence within DevOps practices and discover advanced methodologies that enhance every stage of the software development lifecycle. From predictive analytics and intelligent automation to real-time optimization and robust security measures, this book offers a wealth of knowledge for optimizing software delivery. Explore practical applications, in-depth case studies, and best practices that illustrate the transformative potential of AI in DevOps. Each chapter builds on the previous, providing a seamless and cohesive narrative that guides readers through foundational concepts to advanced implementations. Whether you're looking to improve CI/CD pipelines, automate testing and monitoring, manage infrastructure more efficiently, or enhance security with AI-driven techniques, this book equips you with the tools and insights needed to ensure high-quality, secure, and efficient software delivery. Join the vanguard of modern software development with Integrating Artificial Intelligence with DevOps, and harness AI to achieve real-time optimization and unparalleled security in your DevOps processes.
AI-Driven DevOps Decision-Making: Transforming Software Development Workflows with Intelligent Systems
Author: Sumanth Tatineni
Publisher: Libertatem Media Private Limited
ISBN: 8197138249
Category : Computers
Languages : en
Pages : 221
Book Description
This book provides a comprehensive exploration of the "AI-Driven DevOps Decision-Making" system, a groundbreaking approach that leverages artificial intelligence to optimize decision-making processes within DevOps workflows. Drawing upon the foundational research and patent application, the book delves deep into the innovative methodologies, technical frameworks, and real-world applications of this AI-driven system. Beginning with the conceptual underpinnings of DevOps and the challenges of dynamic software development environments, the book outlines how AI can revolutionize traditional workflows by providing real-time insights, predictive analytics, and adaptive learning capabilities. It provides an in-depth understanding of the core components and algorithms of the system, as well as its practical implementation across different stages of the DevOps lifecycle. Each chapter combines theoretical knowledge with practical insights, supported by case studies and examples that illustrate the tangible benefits of adopting this intelligent decision-making framework. The book also envisions the future of AI in DevOps, highlighting opportunities for innovation and further research in optimizing software development practices. By the end of this book, readers will have a thorough understanding of how to integrate AI-driven decision-making tools within their DevOps environments, ultimately leading to more efficient, agile, and reliable software development processes.
Publisher: Libertatem Media Private Limited
ISBN: 8197138249
Category : Computers
Languages : en
Pages : 221
Book Description
This book provides a comprehensive exploration of the "AI-Driven DevOps Decision-Making" system, a groundbreaking approach that leverages artificial intelligence to optimize decision-making processes within DevOps workflows. Drawing upon the foundational research and patent application, the book delves deep into the innovative methodologies, technical frameworks, and real-world applications of this AI-driven system. Beginning with the conceptual underpinnings of DevOps and the challenges of dynamic software development environments, the book outlines how AI can revolutionize traditional workflows by providing real-time insights, predictive analytics, and adaptive learning capabilities. It provides an in-depth understanding of the core components and algorithms of the system, as well as its practical implementation across different stages of the DevOps lifecycle. Each chapter combines theoretical knowledge with practical insights, supported by case studies and examples that illustrate the tangible benefits of adopting this intelligent decision-making framework. The book also envisions the future of AI in DevOps, highlighting opportunities for innovation and further research in optimizing software development practices. By the end of this book, readers will have a thorough understanding of how to integrate AI-driven decision-making tools within their DevOps environments, ultimately leading to more efficient, agile, and reliable software development processes.
Integrating Blue-Green Infrastructure Into Urban Development
Author: Gupta, Shashi Kant
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 632
Book Description
The necessity for innovative solutions is critical in the pursuit of a sustainable future, as the rapidly urbanizing world confronts climate change, biodiversity loss, and public health concerns. The concept of blue and green infrastructure is a game-changing innovation. Blue and green infrastructure provides a solution to urban planning by strategically incorporating natural and engineered aquatic features – blue infrastructure – with vegetation and green spaces – green infrastructure. This approach addresses environmental, social, and economic challenges, and improves water quality, reduces urban heat islands, and mitigates flood risks, enhancing urban resilience. It also fosters biodiversity by establishing habitats for a variety of species and establishing green spaces for human recreation and well-being. Further exploration may help establish blue-green infrastructure as a standard in urban development practices. Integrating Blue-Green Infrastructure Into Urban Development investigates the numerous opportunities that integrated infrastructure offers, including increased biodiversity, improved air and water quality, and enhanced climate resilience. It also addresses obstacles, such as stakeholder coordination, funding constraints, and equitable access to green and aquatic spaces. This book covers topics such as smart technology, energy engineering, and cybersecurity, and is a useful resource for architects, civil engineers, business owners, policymakers, environmentalists, scientists, researchers, and academicians.
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 632
Book Description
The necessity for innovative solutions is critical in the pursuit of a sustainable future, as the rapidly urbanizing world confronts climate change, biodiversity loss, and public health concerns. The concept of blue and green infrastructure is a game-changing innovation. Blue and green infrastructure provides a solution to urban planning by strategically incorporating natural and engineered aquatic features – blue infrastructure – with vegetation and green spaces – green infrastructure. This approach addresses environmental, social, and economic challenges, and improves water quality, reduces urban heat islands, and mitigates flood risks, enhancing urban resilience. It also fosters biodiversity by establishing habitats for a variety of species and establishing green spaces for human recreation and well-being. Further exploration may help establish blue-green infrastructure as a standard in urban development practices. Integrating Blue-Green Infrastructure Into Urban Development investigates the numerous opportunities that integrated infrastructure offers, including increased biodiversity, improved air and water quality, and enhanced climate resilience. It also addresses obstacles, such as stakeholder coordination, funding constraints, and equitable access to green and aquatic spaces. This book covers topics such as smart technology, energy engineering, and cybersecurity, and is a useful resource for architects, civil engineers, business owners, policymakers, environmentalists, scientists, researchers, and academicians.
2021 24th Euromicro Conference on Digital System Design (DSD)
Author: IEEE Staff
Publisher:
ISBN: 9781665427043
Category :
Languages : en
Pages :
Book Description
The Euromicro Conference on Digital System Design (DSD) addresses all aspects of (embedded, pervasive and high performance) digital and mixed HW SW system engineering, covering the whole design trajectory from specification down to micro architectures, digital circuits and VLSI implementations It is a forum for researchers and engineers from academia and industry working on advanced investigations, developments and applications It focuses on today s and future challenges of advanced embedded, high performance and cyber physical applications system and processor architectures for embedded and high performance HW SW systems design methodology and design automation for all design levels of embedded, high performance and cyber physical systems modern implementation technologies from full custom in nanometer technology nodes, through FPGAs, to MPSoC infrastructures
Publisher:
ISBN: 9781665427043
Category :
Languages : en
Pages :
Book Description
The Euromicro Conference on Digital System Design (DSD) addresses all aspects of (embedded, pervasive and high performance) digital and mixed HW SW system engineering, covering the whole design trajectory from specification down to micro architectures, digital circuits and VLSI implementations It is a forum for researchers and engineers from academia and industry working on advanced investigations, developments and applications It focuses on today s and future challenges of advanced embedded, high performance and cyber physical applications system and processor architectures for embedded and high performance HW SW systems design methodology and design automation for all design levels of embedded, high performance and cyber physical systems modern implementation technologies from full custom in nanometer technology nodes, through FPGAs, to MPSoC infrastructures
Artificial Intelligence
Author: David R. Martinez
Publisher: MIT Press
ISBN: 026237871X
Category : Computers
Languages : en
Pages : 581
Book Description
The first text to take a systems engineering approach to artificial intelligence (AI), from architecture principles to the development and deployment of AI capabilities. Most books on artificial intelligence (AI) focus on a single functional building block, such as machine learning or human-machine teaming. Artificial Intelligence takes a more holistic approach, addressing AI from the view of systems engineering. The book centers on the people-process-technology triad that is critical to successful development of AI products and services. Development starts with an AI design, based on the AI system architecture, and culminates with successful deployment of the AI capabilities. Directed toward AI developers and operational users, this accessibly written volume of the MIT Lincoln Laboratory Series can also serve as a text for undergraduate seniors and graduate-level students and as a reference book. Key features: In-depth look at modern computing technologies Systems engineering description and means to successfully undertake an AI product or service development through deployment Existing methods for applying machine learning operations (MLOps) AI system architecture including a description of each of the AI pipeline building blocks Challenges and approaches to attend to responsible AI in practice Tools to develop a strategic roadmap and techniques to foster an innovative team environment Multiple use cases that stem from the authors’ MIT classes, as well as from AI practitioners, AI project managers, early-career AI team leaders, technical executives, and entrepreneurs Exercises and Jupyter notebook examples
Publisher: MIT Press
ISBN: 026237871X
Category : Computers
Languages : en
Pages : 581
Book Description
The first text to take a systems engineering approach to artificial intelligence (AI), from architecture principles to the development and deployment of AI capabilities. Most books on artificial intelligence (AI) focus on a single functional building block, such as machine learning or human-machine teaming. Artificial Intelligence takes a more holistic approach, addressing AI from the view of systems engineering. The book centers on the people-process-technology triad that is critical to successful development of AI products and services. Development starts with an AI design, based on the AI system architecture, and culminates with successful deployment of the AI capabilities. Directed toward AI developers and operational users, this accessibly written volume of the MIT Lincoln Laboratory Series can also serve as a text for undergraduate seniors and graduate-level students and as a reference book. Key features: In-depth look at modern computing technologies Systems engineering description and means to successfully undertake an AI product or service development through deployment Existing methods for applying machine learning operations (MLOps) AI system architecture including a description of each of the AI pipeline building blocks Challenges and approaches to attend to responsible AI in practice Tools to develop a strategic roadmap and techniques to foster an innovative team environment Multiple use cases that stem from the authors’ MIT classes, as well as from AI practitioners, AI project managers, early-career AI team leaders, technical executives, and entrepreneurs Exercises and Jupyter notebook examples
Artificial Intelligence in Practice
Author: Bernard Marr
Publisher: John Wiley & Sons
ISBN: 1119548985
Category : Business & Economics
Languages : en
Pages : 220
Book Description
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.
Publisher: John Wiley & Sons
ISBN: 1119548985
Category : Business & Economics
Languages : en
Pages : 220
Book Description
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.
Service-Oriented Computing and System Integration
Author: Yinong Chen
Publisher:
ISBN: 9781524958923
Category :
Languages : en
Pages :
Book Description
Publisher:
ISBN: 9781524958923
Category :
Languages : en
Pages :
Book Description
Intelligent Systems and Applications
Author: Kohei Arai
Publisher: Springer Nature
ISBN: 3031663292
Category :
Languages : en
Pages : 727
Book Description
Publisher: Springer Nature
ISBN: 3031663292
Category :
Languages : en
Pages : 727
Book Description