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Sinopsis
Cloud Native to AI Native explores how organizations transition to AI-first systems using proven patterns, scalable architectures, and strategic frameworks to build, deploy, and optimize next-generation AI-powered platforms
Key Features
- Proven frameworks to transition from cloud-native to AI-native architectures
- Practical pattern-based approach to designing scalable AI platforms
- Strategic guidance for driving enterprise AI transformation and innovation
Book Description
Cloud Native to AI Native is a strategic guide to navigating the next major shift in technology evolution moving from cloud-first systems to AI-driven platforms. As organizations race to adopt artificial intelligence, many struggle to align architecture, strategy, and execution. This book provides a structured framework to help leaders and engineers make informed decisions and avoid costly mistakes.
Drawing on real-world experience and proven methodologies, it introduces a pattern-based approach to transformation, enabling you to assess your organization’s maturity and identify the right path forward. You’ll explore key operational modes such as bootstrapping, scaling, optimizing, and innovating, while learning how to design AI-ready platforms that integrate seamlessly with existing cloud-native foundations. The book offers practical insights into building resilient, scalable systems that treat data and models as first-class components, ensuring long-term adaptability. By connecting the evolution of cloud-native architectures with the emerging AI-native paradigm, it provides clarity in an otherwise rapidly changing landscape.
This book equips you with the tools, frameworks, and mindset needed to successfully transition into the AI-native era and unlock real business value.
What you will learn
- Understand the shift from cloud-native to AI-native architectures
- Identify where your organization sits on the technology evolution curve
- Apply transformation patterns to design scalable AI platforms
- Navigate operational modes like scaling, optimizing, and innovating
- Build AI-ready systems integrated with existing cloud infrastructure
- Anticipate future technology trends and adoption strategies
- Avoid common anti-patterns in enterprise AI transformation
- Drive measurable business value from AI initiatives
Who this book is for
This book is designed for technology leaders, solution architects, cloud engineers, and enterprise decision-makers looking to navigate the transition from cloud-native to AI-native systems. It is ideal for professionals responsible for digital transformation, platform engineering, and AI adoption strategies. Consultants, CTOs, and innovation leaders will benefit from its structured frameworks, enabling them to design scalable AI platforms, align business goals with emerging technologies, and drive measurable outcomes in rapidly evolving markets.
Table of Contents
- Navigating the Evolution of IT
- Cloud Native; A Transformative Shift
- Waves of Innovation
- Old Maturity and Deciding to Transform
- Transformation
- New Maturity and Next Wave
- The Costly Mistakes of Going Cloud Native
- Sustaining Cloud Native: Culture, Leadership, Finance and the Planet
- AI Native; Charting the Uncharted Waters of the Next Transformation
- Case Studies
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Pini Reznik is the CEO and co-founder of re:cinq, where he helps organizations build dependable, AI-ready cloud platforms and the operating models to run them. A former software engineer, he co-founded a Cloud Native consultancy in 2014 and has since led transformation programs across industries—from platform engineering and SRE practices to Team Topologies and change management. Pini co-authored the O'Reilly book, Cloud Native Transformation: Practical Patterns for Innovation, and has been documenting engineering and organizational design patterns since 2018. Over the last decade he has guided dozens of companies through the shift to Cloud Native, accelerating software delivery while reducing operational risk and preparing teams for the AI Native era.
Michael Müller has spent more than two decades at the forefront of the cloud revolution, guiding organizations through one of the most significant technological paradigm shifts in modern business history. His senior leadership roles were defined by steering organizations through the complexities of technology transitions, giving him a deep understanding of the foundational logic that underpins successful transformation. As a recognized authority on large-scale technological change, his focus has always been on not just driving technical progress, but ensuring its strategic alignment and long-term business impact. Waves of Innovation is the culmination of this experience, offering executives a strategic framework built on a rare understanding of how to lead when the ground is shifting beneath your feet.
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From Cloud Native to AI Native: Catching the Next Wave of Innovation (Paperback or Softback)
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Paperback. Condición: new. Paperback. Cloud Native to AI Native explores how organizations transition to AI-first systems using proven patterns, scalable architectures, and strategic frameworks to build, deploy, and optimize next-generation AI-powered platformsKey FeaturesProven frameworks to transition from cloud-native to AI-native architecturesPractical pattern-based approach to designing scalable AI platformsStrategic guidance for driving enterprise AI transformation and innovationBook DescriptionCloud Native to AI Native is a strategic guide to navigating the next major shift in technology evolution moving from cloud-first systems to AI-driven platforms. As organizations race to adopt artificial intelligence, many struggle to align architecture, strategy, and execution. This book provides a structured framework to help leaders and engineers make informed decisions and avoid costly mistakes.Drawing on real-world experience and proven methodologies, it introduces a pattern-based approach to transformation, enabling you to assess your organizations maturity and identify the right path forward. Youll explore key operational modes such as bootstrapping, scaling, optimizing, and innovating, while learning how to design AI-ready platforms that integrate seamlessly with existing cloud-native foundations. The book offers practical insights into building resilient, scalable systems that treat data and models as first-class components, ensuring long-term adaptability. By connecting the evolution of cloud-native architectures with the emerging AI-native paradigm, it provides clarity in an otherwise rapidly changing landscape.This book equips you with the tools, frameworks, and mindset needed to successfully transition into the AI-native era and unlock real business value.What you will learnUnderstand the shift from cloud-native to AI-native architecturesIdentify where your organization sits on the technology evolution curveApply transformation patterns to design scalable AI platformsNavigate operational modes like scaling, optimizing, and innovatingBuild AI-ready systems integrated with existing cloud infrastructureAnticipate future technology trends and adoption strategiesAvoid common anti-patterns in enterprise AI transformationDrive measurable business value from AI initiativesWho this book is forThis book is designed for technology leaders, solution architects, cloud engineers, and enterprise decision-makers looking to navigate the transition from cloud-native to AI-native systems. It is ideal for professionals responsible for digital transformation, platform engineering, and AI adoption strategies. Consultants, CTOs, and innovation leaders will benefit from its structured frameworks, enabling them to design scalable AI platforms, align business goals with emerging technologies, and drive measurable outcomes in rapidly evolving markets. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781807785239
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From Cloud Native to AI Native
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Paperback. Condición: New. Cloud Native to AI Native explores how organizations transition to AI-first systems using proven patterns, scalable architectures, and strategic frameworks to build, deploy, and optimize next-generation AI-powered platformsKey FeaturesProven frameworks to transition from cloud-native to AI-native architecturesPractical pattern-based approach to designing scalable AI platformsStrategic guidance for driving enterprise AI transformation and innovationBook DescriptionCloud Native to AI Native is a strategic guide to navigating the next major shift in technology evolution moving from cloud-first systems to AI-driven platforms. As organizations race to adopt artificial intelligence, many struggle to align architecture, strategy, and execution. This book provides a structured framework to help leaders and engineers make informed decisions and avoid costly mistakes.Drawing on real-world experience and proven methodologies, it introduces a pattern-based approach to transformation, enabling you to assess your organization's maturity and identify the right path forward. You'll explore key operational modes such as bootstrapping, scaling, optimizing, and innovating, while learning how to design AI-ready platforms that integrate seamlessly with existing cloud-native foundations. The book offers practical insights into building resilient, scalable systems that treat data and models as first-class components, ensuring long-term adaptability. By connecting the evolution of cloud-native architectures with the emerging AI-native paradigm, it provides clarity in an otherwise rapidly changing landscape.This book equips you with the tools, frameworks, and mindset needed to successfully transition into the AI-native era and unlock real business value.What you will learnUnderstand the shift from cloud-native to AI-native architecturesIdentify where your organization sits on the technology evolution curveApply transformation patterns to design scalable AI platformsNavigate operational modes like scaling, optimizing, and innovatingBuild AI-ready systems integrated with existing cloud infrastructureAnticipate future technology trends and adoption strategiesAvoid common anti-patterns in enterprise AI transformationDrive measurable business value from AI initiativesWho this book is forThis book is designed for technology leaders, solution architects, cloud engineers, and enterprise decision-makers looking to navigate the transition from cloud-native to AI-native systems. It is ideal for professionals responsible for digital transformation, platform engineering, and AI adoption strategies. Consultants, CTOs, and innovation leaders will benefit from its structured frameworks, enabling them to design scalable AI platforms, align business goals with emerging technologies, and drive measurable outcomes in rapidly evolving markets. Nº de ref. del artículo: LU-9781807785239
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From Cloud Native to AI Native
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Paperback. Condición: New. Cloud Native to AI Native explores how organizations transition to AI-first systems using proven patterns, scalable architectures, and strategic frameworks to build, deploy, and optimize next-generation AI-powered platformsKey FeaturesProven frameworks to transition from cloud-native to AI-native architecturesPractical pattern-based approach to designing scalable AI platformsStrategic guidance for driving enterprise AI transformation and innovationBook DescriptionCloud Native to AI Native is a strategic guide to navigating the next major shift in technology evolution moving from cloud-first systems to AI-driven platforms. As organizations race to adopt artificial intelligence, many struggle to align architecture, strategy, and execution. This book provides a structured framework to help leaders and engineers make informed decisions and avoid costly mistakes.Drawing on real-world experience and proven methodologies, it introduces a pattern-based approach to transformation, enabling you to assess your organization's maturity and identify the right path forward. You'll explore key operational modes such as bootstrapping, scaling, optimizing, and innovating, while learning how to design AI-ready platforms that integrate seamlessly with existing cloud-native foundations. The book offers practical insights into building resilient, scalable systems that treat data and models as first-class components, ensuring long-term adaptability. By connecting the evolution of cloud-native architectures with the emerging AI-native paradigm, it provides clarity in an otherwise rapidly changing landscape.This book equips you with the tools, frameworks, and mindset needed to successfully transition into the AI-native era and unlock real business value.What you will learnUnderstand the shift from cloud-native to AI-native architecturesIdentify where your organization sits on the technology evolution curveApply transformation patterns to design scalable AI platformsNavigate operational modes like scaling, optimizing, and innovatingBuild AI-ready systems integrated with existing cloud infrastructureAnticipate future technology trends and adoption strategiesAvoid common anti-patterns in enterprise AI transformationDrive measurable business value from AI initiativesWho this book is forThis book is designed for technology leaders, solution architects, cloud engineers, and enterprise decision-makers looking to navigate the transition from cloud-native to AI-native systems. It is ideal for professionals responsible for digital transformation, platform engineering, and AI adoption strategies. Consultants, CTOs, and innovation leaders will benefit from its structured frameworks, enabling them to design scalable AI platforms, align business goals with emerging technologies, and drive measurable outcomes in rapidly evolving markets. Nº de ref. del artículo: LU-9781807785239
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Paperback. Condición: new. Paperback. Cloud Native to AI Native explores how organizations transition to AI-first systems using proven patterns, scalable architectures, and strategic frameworks to build, deploy, and optimize next-generation AI-powered platformsKey FeaturesProven frameworks to transition from cloud-native to AI-native architecturesPractical pattern-based approach to designing scalable AI platformsStrategic guidance for driving enterprise AI transformation and innovationBook DescriptionCloud Native to AI Native is a strategic guide to navigating the next major shift in technology evolution moving from cloud-first systems to AI-driven platforms. As organizations race to adopt artificial intelligence, many struggle to align architecture, strategy, and execution. This book provides a structured framework to help leaders and engineers make informed decisions and avoid costly mistakes.Drawing on real-world experience and proven methodologies, it introduces a pattern-based approach to transformation, enabling you to assess your organizations maturity and identify the right path forward. Youll explore key operational modes such as bootstrapping, scaling, optimizing, and innovating, while learning how to design AI-ready platforms that integrate seamlessly with existing cloud-native foundations. The book offers practical insights into building resilient, scalable systems that treat data and models as first-class components, ensuring long-term adaptability. By connecting the evolution of cloud-native architectures with the emerging AI-native paradigm, it provides clarity in an otherwise rapidly changing landscape.This book equips you with the tools, frameworks, and mindset needed to successfully transition into the AI-native era and unlock real business value.What you will learnUnderstand the shift from cloud-native to AI-native architecturesIdentify where your organization sits on the technology evolution curveApply transformation patterns to design scalable AI platformsNavigate operational modes like scaling, optimizing, and innovatingBuild AI-ready systems integrated with existing cloud infrastructureAnticipate future technology trends and adoption strategiesAvoid common anti-patterns in enterprise AI transformationDrive measurable business value from AI initiativesWho this book is forThis book is designed for technology leaders, solution architects, cloud engineers, and enterprise decision-makers looking to navigate the transition from cloud-native to AI-native systems. It is ideal for professionals responsible for digital transformation, platform engineering, and AI adoption strategies. Consultants, CTOs, and innovation leaders will benefit from its structured frameworks, enabling them to design scalable AI platforms, align business goals with emerging technologies, and drive measurable outcomes in rapidly evolving markets. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9781807785239
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From Cloud Native to AI Native (Paperback)
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Paperback. Condición: new. Paperback. Cloud Native to AI Native explores how organizations transition to AI-first systems using proven patterns, scalable architectures, and strategic frameworks to build, deploy, and optimize next-generation AI-powered platformsKey FeaturesProven frameworks to transition from cloud-native to AI-native architecturesPractical pattern-based approach to designing scalable AI platformsStrategic guidance for driving enterprise AI transformation and innovationBook DescriptionCloud Native to AI Native is a strategic guide to navigating the next major shift in technology evolution moving from cloud-first systems to AI-driven platforms. As organizations race to adopt artificial intelligence, many struggle to align architecture, strategy, and execution. This book provides a structured framework to help leaders and engineers make informed decisions and avoid costly mistakes.Drawing on real-world experience and proven methodologies, it introduces a pattern-based approach to transformation, enabling you to assess your organizations maturity and identify the right path forward. Youll explore key operational modes such as bootstrapping, scaling, optimizing, and innovating, while learning how to design AI-ready platforms that integrate seamlessly with existing cloud-native foundations. The book offers practical insights into building resilient, scalable systems that treat data and models as first-class components, ensuring long-term adaptability. By connecting the evolution of cloud-native architectures with the emerging AI-native paradigm, it provides clarity in an otherwise rapidly changing landscape.This book equips you with the tools, frameworks, and mindset needed to successfully transition into the AI-native era and unlock real business value.What you will learnUnderstand the shift from cloud-native to AI-native architecturesIdentify where your organization sits on the technology evolution curveApply transformation patterns to design scalable AI platformsNavigate operational modes like scaling, optimizing, and innovatingBuild AI-ready systems integrated with existing cloud infrastructureAnticipate future technology trends and adoption strategiesAvoid common anti-patterns in enterprise AI transformationDrive measurable business value from AI initiativesWho this book is forThis book is designed for technology leaders, solution architects, cloud engineers, and enterprise decision-makers looking to navigate the transition from cloud-native to AI-native systems. It is ideal for professionals responsible for digital transformation, platform engineering, and AI adoption strategies. Consultants, CTOs, and innovation leaders will benefit from its structured frameworks, enabling them to design scalable AI platforms, align business goals with emerging technologies, and drive measurable outcomes in rapidly evolving markets. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781807785239
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