From Cloud Native to AI Native: Catching the Next Wave of Innovation

From Cloud Native to AI Native: Catching the Next Wave of Innovation

Author(s): Pini Reznik (Author), Michael Müller (Author)

• Publisher: Packt Publishing
• Publication Date: July 10 2026
• Edition: 1st
• Language: English
• Print length: 400 pages
• ISBN-10: B0GYPS89LW
• ISBN-13: 9781807785222

Book Description

View on Amazon

{“@context}”:”https://schema.org”,”@type”:”Book”,”name”:”From Cloud Native to AI Native: Catching the Next Wave of Innovation”,”image”:”https://m.media-amazon.com/images/I/41UPo9ZK14L._SX342_SY445_QL70_ML2_.jpg”,”author”:{“@type”:”Person”,”name”:”Pini Reznik (Author), Michael Müller (Author)”},”publisher”:{“@type”:”Organization”,”name”:”Packt Publishing”},”datePublished”:”July 10 2026″,”isbn”:”9781807785222″,”numberOfPages”:400,”inLanguage”:”English”,”description”:”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.Table of ContentsNavigating the Evolution of ITCloud Native—A Transformative ShiftWaves of InnovationOld Maturity and Deciding to TransformTransformationNew Maturity and Next WaveThe Costly Mistakes of Going Cloud NativeSustaining Cloud Native: Culture, Leadership, Finance and the PlanetAI Native—Charting the Uncharted Waters of the Next TransformationCase Studies”,”bookEdition”:”1st”,”url”:”https://www.amazon.ca/dp/B0GYPS89LW/”,”bookFormat”:”http://schema.org/EBook”,”additionalType”:”http://schema.org/PDF”,”fileSize”:”23 MB”,”accessibilityFeature”:[“login required”,”member access only”],”accessibilitySummary”:”PDF version available to authenticated members only. File size: 23 MB.”}