From Cloud Native To Ai Native
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From Cloud Native To Ai Native
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Author : Pini Reznik
language : en
Publisher:
Release Date : 2025-10-06
From Cloud Native To Ai Native written by Pini Reznik and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-06 with Computers categories.
A Tactical Toolkit for Engineering Your Strategic Roadmap. Complex technology shifts demand a clear, shared vocabulary. Without one, leadership teams talk past each other, initiatives stall, and costly mistakes are made. The Transformation Patterns are a visual, hands-on system designed to solve this problem by structuring strategic conversations and aligning your organization. Distilled from decades of firsthand experience leading technological transitions, these patterns provide a concrete language for turning abstract goals into an actionable plan. This is a complete, self-facilitated workshop kit. You receive: The 119-Card Transformation Deck, a comprehensive system for diagnosing your current state and planning your future moves. The deck includes: Transformation Patterns (TF): Proven, effective strategies to accelerate progress. Anti-Patterns (AP): Common traps and predictable failure modes to identify and avoid. Technological Wave Patterns: Cards defining the core principles of the Waterfall (WF), Cloud Native (CN), and the emerging AI Native (AN) eras. Large-Format Workshop Posters (Part 1 & 2) that create a visual centerpiece for your strategy session, enabling your team to map out your journey in real-time. A Complete Instruction Guide that walks you through the process of running a high-impact, C-suite level workshop with your team. This toolkit provides everything you need to build a clear, unified roadmap, unlocking immense value without the need for external consultants. It is the definitive companion to the book, "The Next Transformation: From Cloud Native to AI Native."
Architecting Intelligent Cloud Systems Ai Mlops And Scalable Infrastructure For The Future
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Author : PHANISH LAKKARASU
language : en
Publisher: Global Pen Press UK PUBLICATION
Release Date :
Architecting Intelligent Cloud Systems Ai Mlops And Scalable Infrastructure For The Future written by PHANISH LAKKARASU and has been published by Global Pen Press UK PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Architecture categories.
Ai Native Digital Platforms Architecting The Next Wave Of Commerce And Intelligence 2025
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Author : Author:1-Amit Ojha, Author:2-Mr. Kumar Pal Singh
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Ai Native Digital Platforms Architecting The Next Wave Of Commerce And Intelligence 2025 written by Author:1-Amit Ojha, Author:2-Mr. Kumar Pal Singh and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In an age where artificial intelligence is no longer a futuristic concept but a fundamental driver of digital transformation, the convergence of AI and platform architecture is redefining how we innovate, interact, and transact. The rise of AI-native digital platforms marks a profound shift in technological design, one that transcends traditional boundaries and paves the way for adaptive, intelligent, and autonomous systems capable of responding to evolving market demands in real time. This book, AI-Native Digital Platforms: Architecting the Next Wave of Commerce and Intelligence, is an exploration of the emerging paradigm in which artificial intelligence is embedded at the very core of digital platform design. It aims to offer a comprehensive framework for understanding how AI reshapes platform architecture—across data pipelines, microservices, edge computing, cloud orchestration, API ecosystems, and user experience personalization. From dynamic supply chains to intelligent customer engagement, AI-native platforms are becoming the backbone of future-ready enterprises. We begin with foundational concepts of digital platforms and AI technologies, then progress through architectural principles, design patterns, case studies, and strategic implementation models. The book addresses key challenges such as ethical AI governance, scalability, interoperability, security, and data sovereignty, all while emphasizing real-world applications across e-commerce, fintech, healthcare, smart cities, and industrial automation. Intending for technology leaders, architects, data scientists, product strategists, and academic researchers, this book bridges the gap between theoretical AI capabilities and practical platform engineering. It reflects a multi-disciplinary perspective shaped by innovations in machine learning, distributed systems, human-centered design, and business intelligence. As AI-native platforms become central to global digital economies, the decisions we make today will influence the societal, ethical, and economic fabric of tomorrow. This book is a guide and a call to action—for building platforms that are not only intelligent but also inclusive, sustainable, and resilient. Authors
The Cloud Architect S Playbook Scaling Enterprise Systems With Databases Ai And Performance Driven Design 2025
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Author : Author1: ARNAB SAHA, Author2 DR LALIT KUMAR
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
The Cloud Architect S Playbook Scaling Enterprise Systems With Databases Ai And Performance Driven Design 2025 written by Author1: ARNAB SAHA, Author2 DR LALIT KUMAR and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In today’s digital landscape, organizations must deliver reliable, high-performance experiences at an ever-increasing scale. As enterprises embrace cloud-native technologiesmicroservices, container orchestration, managed data platforms, and AI-driven insightsthey confront a new set of architectural challenges. How do you design distributed systems that remain resilient in the face of variable load, regional outages, and shifting business requirements? How can databases, caches, and streaming pipelines be orchestrated to support both real-time decisioning and deep historical analysis? And how can teams embed observability, governance, and cost-effectiveness into every layer of their infrastructure? The Cloud Architect’s Playbook guides you through these questions by distilling years of lessons learned at the forefront of cloud engineering. We begin by laying the foundations of scalable architectureelasticity, fault tolerance, and performance-driven observabilitybefore diving into data strategies that leverage polyglot persistence, data lakes, and streaming systems. From there, we explore how to build AI-native applications that continuously learn from live traffic and integrate seamlessly into microservice environments. Throughout, we emphasize design patterns that isolate failure domains, enforce consistency trade-offs wisely, and enable graceful degradation under stress. More than a catalog of technologies, this playbook offers a holistic mindset: one that treats infrastructure as code, data as a product, and performance as a first-class citizen. Each chapter closes with guiding principles, concrete examples, and “play calls”actionable recommendations for choosing the right pattern in your context. We highlight not only the “what” and the “how,” but also the “why,” helping you weigh trade-offs in cost, complexity, and risk. Whether you’re a seasoned cloud architect, a data engineer stepping into system design, or an engineering leader responsible for cross-functional initiatives, this book equips you with the frameworks, patterns, and
Synergistic Intelligence Harnessing Ai Machine Learning Cloud And Big Data For Next Generation Innovation
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Author : KUSHVANTH CHOWDARY NAGABHYRU
language : en
Publisher: Aqua Publication
Release Date :
Synergistic Intelligence Harnessing Ai Machine Learning Cloud And Big Data For Next Generation Innovation written by KUSHVANTH CHOWDARY NAGABHYRU and has been published by Aqua Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Smart Education And Sustainable Learning Environments In Smart Cities
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Author : Sorayyaei Azar, Ali
language : en
Publisher: IGI Global
Release Date : 2025-02-13
Smart Education And Sustainable Learning Environments In Smart Cities written by Sorayyaei Azar, Ali and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-13 with Education categories.
As urbanization accelerates and technological advancements continue to reshape our cities, the integration of smart technologies into urban development has become prominent. At the same time, the education sector faces challenges in adapting to the demands of a rapidly changing world. There is a growing need to prepare students for the digital age while fostering environmental consciousness and sustainability. These smart learning environments are designed to be flexible, accessible, and sustainable, aligning with the broader goals of smart cities to optimize resources, reduce environmental impact, and promote social equity. As cities evolve, the creation of sustainable learning environments becomes essential for academic achievement and the preparation of future generations. Smart Education and Sustainable Learning Environments in Smart Cities explores the intersection of education and smart technology. It investigates how smart technologies can be used to create inclusive, innovative, and environmentally sustainable educational ecosystems within the context of modern urban development. This book covers topics such as learning styles, data science, and cloud technology, and is a useful resource for computer engineers, educators, academicians, urban developers, policymakers, government officials, and researchers.
Predictive Autonomy Deep Learning Agents For Insurance Risk And Fraud Management
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Author : Avinash Reddy Aitha
language : en
Publisher: Deep Science Publishing
Release Date : 2025-10-08
Predictive Autonomy Deep Learning Agents For Insurance Risk And Fraud Management written by Avinash Reddy Aitha and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-08 with Computers categories.
In an era defined by digital transformation, the insurance industry stands at a critical intersection of innovation, data, and trust. Predictive Autonomy: Deep Learning Agents for Insurance Risk and Fraud Management explores this intersection by examining how the next generation of intelligent systems—powered by deep learning, agentic AI, and cloud-native automation—can reshape the way insurers assess, predict, and mitigate risk. The evolution from traditional rule-based analytics to autonomous, data-driven intelligence marks a profound shift in the operational and ethical landscape of insurance. Deep learning algorithms are no longer passive tools that merely detect anomalies; they are becoming proactive agents capable of self-learning, decision-making, and adaptation in dynamic market and fraud environments. This transformation demands not only technical innovation but also a rethinking of governance, transparency, and human oversight in AI-driven ecosystems. This book presents a comprehensive framework that connects predictive modeling, real-time automation, and explainable AI into a cohesive strategy for modern insurance enterprises. It delves into how generative and agentic models can identify emerging fraud patterns, forecast customer behavior, and manage risk with unprecedented precision. Through the integration of data engineering, DevOps practices, and cloud-native infrastructures, these intelligent agents operate seamlessly across distributed systems—ensuring scalability, reliability, and continuous learning. Readers will gain both conceptual understanding and practical insight into the architecture, design, and deployment of autonomous AI in insurance operations. The discussions span from algorithmic foundations in deep learning and reinforcement learning to real-world case studies illustrating the measurable benefits of predictive autonomy—reduced claim leakage, improved fraud detection accuracy, and enhanced customer trust. Ultimately, Predictive Autonomy is not just about technology; it is about enabling a new paradigm of intelligence that augments human judgment, supports ethical decision-making, and strengthens the financial resilience of institutions. This work is intended for researchers, data scientists, actuaries, and industry leaders who envision a future where artificial intelligence operates not only predictively—but responsibly and autonomously.
Ai Driven Commerce Building The Future Of Retail Logistics And Digital Marketplaces 2025
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Author : Author:1-Yaswanth Jeganathan, Author:2-Dr. Pramod Vishwakarma
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Ai Driven Commerce Building The Future Of Retail Logistics And Digital Marketplaces 2025 written by Author:1-Yaswanth Jeganathan, Author:2-Dr. Pramod Vishwakarma and has been published by YASHITA PRAKASHAN PRIVATE LIMITED this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
PREFACE In the rapidly evolving landscape of commerce, artificial intelligence (AI) is transforming how businesses operate, interact with consumers, and manage their operations. From personalized shopping experiences to intelligent supply chains and dynamic pricing models, AI has become a driving force in reshaping retail, logistics, and digital marketplaces. AI-Driven Commerce: Building the Future of Retail, Logistics, and Digital Marketplaces explores the transformative potential of AI across these sectors and its role in shaping the future of commerce. The past decade has witnessed an unprecedented shift in consumer behavior, powered by the proliferation of digital platforms and the growing demand for seamless, personalized experiences. Retailers, logistics companies, and digital marketplace providers are increasingly adopting AI to stay competitive, automate processes, and create efficiencies. AI is no longer just an experimental technology; it has become a core element of business strategy, helping organizations understand consumer preferences, optimize inventory, streamline operations, and offer real-time solutions that were once unimaginable. This book is designed to provide an in-depth exploration of how AI is being leveraged across the key pillars of modern commerce: retail, logistics, and digital marketplaces. We examine how AI-driven technologies like machine learning, natural language processing (NLP), computer vision, and predictive analytics are reshaping everything from customer acquisition and product recommendation systems to inventory management, last-mile delivery, and fraud prevention. By offering detailed case studies and real-world examples, we showcase how leading companies are deploying AI to drive growth, enhance customer satisfaction, and achieve operational excellence. The first section of the book delves into AI in retail, where the impact is most visible. AI is revolutionizing the way retailers interact with customers, moving beyond the traditional brick-and-mortar model to deliver personalized, omnichannel shopping experiences. With AI-powered recommendation engines, chatbots, and virtual assistants, retailers can engage consumers more effectively, tailoring product suggestions and marketing messages based on individual preferences and past behaviors. This personalization leads to increased customer loyalty and satisfaction, as well as greater sales conversion rates. The second section focuses on AI in logistics, a field that undergoes a profound transformation due to the integration of AI and automation. AI enables logistics companies to optimize their supply chains, predict demand more accurately, and reduce costs through intelligent route planning, predictive maintenance, and automated warehouse management. The adoption of AI technologies is also revolutionizing the way businesses manage inventory, ensuring that products are available where and when they are needed, without overstocking or understocking. In the final section, we explore AI in digital marketplaces, where the future of commerce is increasingly taking shape. Marketplaces like Amazon, eBay, and Alibaba are utilizing AI to create seamless, efficient, and scalable environments for both buyers and sellers. AI-driven algorithms optimize product discovery, ensure fair pricing, and facilitate customer trust through better fraud detection. These marketplaces are also benefiting from AI’s ability to analyze vast amounts of transactional data, allowing for continuous improvement in operations and service delivery. Throughout the book, we also highlight the ethical considerations and challenges associated with AI adoption, such as privacy concerns, bias in algorithmic decision-making, and the need for transparency and accountability in AI-driven systems. As AI becomes more ingrained in commerce, it is vital that businesses adopt responsible AI practices that prioritize fairness, inclusivity, and data security. Ultimately, AI-Driven Commerce: Building the Future of Retail, Logistics, and Digital Marketplaces provides readers with a comprehensive guide to understanding how AI is revolutionizing the commerce industry. Whether you are a business leader, technologist, or researcher, this book offers valuable insights into how AI is creating a new era of commerce and what organizations must do to harness its full potential in an increasingly digital world. Authors
Scalable Artificial Intelligence Systems Cloud Native Edge Ai Mlops And Governance For Real World Deployment
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Author : Swarup Panda
language : en
Publisher: Deep Science Publishing
Release Date : 2025-07-28
Scalable Artificial Intelligence Systems Cloud Native Edge Ai Mlops And Governance For Real World Deployment written by Swarup Panda and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-28 with Computers categories.
Artificial Intelligence (AI) has become essential across industries, transforming operations, decision-making, and value creation. As organizations worldwide use AI to address challenges in areas like healthcare, finance, cybersecurity, manufacturing, and infrastructure, the need for reliable and scalable AI systems continues to grow. This book offers practical guidance for professionals designing and deploying scalable, compliant AI solutions in production environments. It covers modernizing legacy systems, building MLOps pipelines, and addressing ethical aspects of autonomous AI, providing essential insights and patterns for real-world applications. We cover essential topics for enterprise AI success, such as scalable architectures (cloud-native, edge, hybrid), MLOps for lifecycle management, and governance for compliance and fairness. The text also outlines frameworks for explainable and federated AI in regulated fields, supporting privacy and distributed intelligence. We demonstrate AI's impact on diagnostics, fraud detection, threat intelligence, and urban planning through case studies, and review how platforms like Azure, AWS, and GCP support scalable AI deployment. This book highlights the need for ethical AI that upholds human values, privacy, and transparency. As AI shapes society, we must design, deploy, and govern it responsibly. I invite you to explore these chapters with a mindset of both innovation and accountability—as together, we shape a future powered by intelligent and responsible systems.
Automating Intelligence With Cloud Native Ai Tools
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Author : Madhulika Bhatia
language : en
Publisher: Engineering Science Reference
Release Date : 2026-01-09
Automating Intelligence With Cloud Native Ai Tools written by Madhulika Bhatia and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-09 with Computers categories.
As organizations seek to use the full potential of artificial intelligence (AI), cloud-native AI tools are emerging as a transformative tool for automating intelligence at larger scale. By combining cloud infrastructure with advanced machine learning frameworks, these tools enable faster development cycles and intelligent decision-making embedded directly into business processes. From data analysis to adaptive automation, cloud-native AI solutions empower enterprises to innovate rapidly while reducing operational complexity. Automating Intelligence With Cloud-Native AI Tools explores the integration of cloud computing with AI to create a faster computational ecosystem. It examines how intelligent cloud computing, machine learning, and smart technologies are transforming the landscape of computing. Covering topics such as AI, cloud computing, and automation, this book is an excellent resource for software developers, system engineers, data scientists, cloud architects, business organizations, and graduate students.