Ai Native Digital Platforms Architecting The Next Wave Of Commerce And Intelligence 2025
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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
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.
Ai Smart Enabled Architecture And Infrastructure For Higher Education
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Author : van Wyk, Micheal M.
language : en
Publisher: IGI Global
Release Date : 2025-07-03
Ai Smart Enabled Architecture And Infrastructure For Higher Education written by van Wyk, Micheal M. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-03 with Computers categories.
Artificial intelligence (AI) transforms the landscape of higher education, creating smart-enabled architecture and infrastructure that redefines how campuses operate and evolve. By integrating AI technologies into the physical and digital frameworks of universities, institutions can create more adaptive, efficient, and student-centered environments. From intelligent energy management systems and predictive maintenance in campus buildings to AI-powered learning platforms and data-driven administrative tools, it enhances both operational performance and academic delivery. As higher education faces growing demands for innovation, sustainability, and personalized experiences, AI-enabled architecture and infrastructure may shape future campuses. AI Smart-Enabled Architecture and Infrastructure for Higher Education explores the integration of intelligent technologies into higher education organizations. It explores how AI and machine learning can provide tools to reduce digital divides and address issues of educational disparity through inclusion and equity. This book covers topics such as education infrastructure, sustainability, and digital technology, and is a useful resource for computer engineers, business owners, educators, academicians, researchers, and scientists.
Smart Finance Harnessing Artificial Intelligence To Transform Tax Accounting Payroll And Credit Management For The Digital Age
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Author : Jeevani Singireddy
language : en
Publisher: Deep Science Publishing
Release Date : 2025-04-26
Smart Finance Harnessing Artificial Intelligence To Transform Tax Accounting Payroll And Credit Management For The Digital Age written by Jeevani Singireddy 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 2025-04-26 with Business & Economics categories.
In an era where digital transformation is reshaping every industry, the world of finance stands at the forefront of change. The integration of artificial intelligence (AI) into financial operations is not merely a trend—it is a fundamental shift that is redefining how businesses and individuals manage money, ensure compliance, and make strategic decisions. Smart Finance: Harnessing AI to Transform Tax, Accounting, Payroll, and Credit Management for the Digital Age explores this evolution, offering a comprehensive look into how intelligent technologies are revolutionizing traditional financial practices. This book was conceived with a singular vision: to bridge the gap between advanced technology and practical financial application. We aim to provide professionals, students, and curious minds with insights into how AI is streamlining tax calculations, automating accounting tasks, optimizing payroll systems, and enhancing credit risk assessment. By drawing on real-world case studies, current innovations, and forward-thinking strategies, we strive to demystify complex algorithms and highlight their practical implications. Our intention is not only to inform but to inspire a mindset shift. Finance is no longer confined to spreadsheets and manual audits—it is becoming proactive, predictive, and profoundly data-driven. Through AI, finance professionals can move beyond routine tasks and embrace roles as strategic advisors and innovation leaders. We extend our gratitude to the technologists, accountants, tax experts, payroll specialists, and credit analysts who have contributed to this new frontier. Their willingness to embrace change and experiment with AI-driven solutions fuels the momentum toward smarter, more agile financial systems. As you delve into these pages, we invite you to envision a future where finance is not just managed but intelligently optimized. Welcome to the age of Smart Finance.
Mastering Oracle Cloud Erp A Practical Guide To Implementation Integrations And Optimization 2025
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Author : Mukesh Garg, Dr Vandna Bansla
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Mastering Oracle Cloud Erp A Practical Guide To Implementation Integrations And Optimization 2025 written by Mukesh Garg, Dr Vandna Bansla 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 Mastering Oracle Cloud ERP: A Practical Guide to Implementation, Integrations, and Optimization is designed to be a comprehensive and hands-on resource for professionals seeking to understand and master Oracle’s Enterprise Resource Planning (ERP) solution in the cloud. As businesses continue to adapt to rapidly evolving technological landscapes, the need for agile, scalable, and integrated ERP systems has never been more critical. Oracle Cloud ERP offers organizations the tools necessary to streamline operations, enhance decision-making, and drive business growth. This book is written to provide readers with a practical understanding of how to successfully implement, integrate, and optimize Oracle Cloud ERP to unlock its full potential. In recent years, cloud-based solutions have become the backbone of many enterprise IT systems, replacing traditional on-premises software with scalable, flexible solutions. Oracle’s Cloud ERP has emerged as one of the most widely adopted systems, offering a range of integrated applications that cater to different aspects of business management, including financials, procurement, supply chain management, and human resources. The shift to cloud computing allows organizations to simplify their infrastructure, reduce costs, and maintain agility while ensuring that their systems are always up to date with the latest innovations. This book serves as a practical guide for both beginners and experienced professionals, providing a step-by-step approach to implementing Oracle Cloud ERP. It covers the implementation process, from initial planning and system configuration to full deployment, ensuring that the reader has a clear understanding of how to set up the system in a way that aligns with business goals. Each chapter is designed to guide readers through the complexities of Oracle Cloud ERP, offering detailed insights into how to structure and execute an effective implementation strategy. The integration of Oracle Cloud ERP with existing systems is another critical area covered in this book. As organizations increasingly rely on multiple platforms for different functions, integration becomes essential for ensuring that data flows seamlessly between systems. Whether integrating with legacy applications, third-party tools, or other Oracle solutions, this book outlines best practices for building and maintaining a robust integration framework that supports business operations and ensures data consistency. Beyond implementation and integration, this guide emphasizes optimization—helping readers learn how to continuously improve and maximize the value of Oracle Cloud ERP over time. With constant updates and innovations from Oracle, organizations need to be able to effectively adapt their ERP systems to meet changing business needs. The book offers practical strategies for monitoring system performance, troubleshooting common challenges, and leveraging Oracle Cloud’s advanced capabilities, such as AI and automation, to streamline processes and drive operational efficiency. Real-world case studies and practical examples throughout the book demonstrate how successful Oracle Cloud ERP implementations have transformed businesses across various industries. These examples illustrate key lessons learned and provide actionable insights that can be applied to real-world scenarios, making this book an invaluable resource for anyone involved in the Oracle Cloud ERP journey. Whether you are an IT professional, a project manager, a business analyst, or a consultant working on Oracle Cloud ERP projects, this book will equip you with the knowledge and tools needed to implement, integrate, and optimize Oracle Cloud ERP systems effectively. Our goal is not only to help you understand the technical aspects but also to provide a framework for using Oracle Cloud ERP as a strategic asset that drives business performance. In conclusion, Mastering Oracle Cloud ERP is not just a book about technology, it’s a guide to leveraging Oracle’s ERP solution to achieve business success in the digital age. With a solid foundation in both the technical and strategic aspects of implementation, integration, and optimization, this book is designed to help you navigate the complexities of Oracle Cloud ERP and unlock its full potential. Authors
Ai Powered Digital Commerce Architecting The Future Of Scalable And Personalized Shopping 2025
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Author : AUTHOR:1-Abhilash Thankappan Ajeshbhavan, AUTHOR:2- Dr A Senthil
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :
Ai Powered Digital Commerce Architecting The Future Of Scalable And Personalized Shopping 2025 written by AUTHOR:1-Abhilash Thankappan Ajeshbhavan, AUTHOR:2- Dr A Senthil 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 era defined by rapid technological evolution, the retail and commerce landscape is undergoing a transformative shift—one that is both inevitable and extraordinary. The convergence of artificial intelligence (AI) and digital commerce has ushered in a new paradigm where personalization, scale, and intelligence are not just aspirations, but foundational elements of modern consumer experiences. This book, AI-Powered Digital Commerce: Architecting the Future of Scalable and Personalized Shopping, is our endeavor to decode that transformation and offer a comprehensive, future-facing perspective on how AI is redefining the very fabric of shopping. We are witnessing a fundamental rethinking of how products are discovered, how preferences are understood, and how fulfillment is orchestrated—across platforms, devices, and moments. From intelligent recommendation systems and visual search to real-time behavioral targeting and AI-powered customer support, every touchpoint is becoming smarter, faster, and more human-like. This shift demands not just new technologies, but also a new mindset—one that balances scale with agility, automation with empathy, and innovation with responsibility. This book is written for technologists, digital commerce strategists, product leaders, data scientists, and retail innovators who are looking to architect intelligent, customer-centric shopping experiences. It offers both the technical depth and strategic foresight required to build, deploy, and govern AI-powered commerce systems at scale. We begin by laying the foundational concepts of AI in the commerce domain (Chapter 1), followed by a detailed exploration of the data infrastructure and cloud-native architectures essential for scalability (Chapter 2). The journey then progresses through demand forecasting (Chapter 3), AI-driven personalization (Chapter 4), and conversational interfaces (Chapter 5), each unlocking unique value levers for enterprises. In the latter chapters, we navigate the realms of computer vision (Chapter 6), supply chain intelligence (Chapter 7), dynamic pricing (Chapter 8), and omnichannel integration (Chapter 9), before culminating in customer analytics (Chapter 10), ethical considerations (Chapter 11), and emerging technologies like generative AI, AR/VR, and beyond (Chapter 12). Throughout the book, we have taken care to blend academic rigor with practical insights—backed by case studies, architectural frameworks, implementation best practices, and reflections from real-world enterprise deployments. Our goal is to empower readers to not only understand the “how” but also the “why” behind AI adoption in commerce. We extend our heartfelt gratitude to researchers, industry professionals, and collaborators who have inspired and informed us of this work. We also thank our readers in advance—for being curious, critical, and courageous as you shape the next generation of digital commerce. Abhilash Thankappan Ajeshbhavan Dr. A Senthil
Ai Driven Enterprise Architecture From Data Engineering To Generative Ai 2025
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Author : Author:1- Bhanuvardhan Nune, Author:2-Dr. Gaurav Kumar
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :
Ai Driven Enterprise Architecture From Data Engineering To Generative Ai 2025 written by Author:1- Bhanuvardhan Nune, Author:2-Dr. Gaurav Kumar and has been published by RAVEENA PRAKASHAN OPC PVT LTD 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 technology, enterprises are increasingly turning to artificial intelligence (AI) to drive innovation, efficiency, and growth. The integration of AI into enterprise architecture has shifted from a trend to an essential strategy for businesses looking to maintain a competitive edge. AI-Driven Enterprise Architecture: From Data Engineering to Generative AI is written to explore the transformative impact of AI across all layers of enterprise systems, from data engineering and analytics to innovative generative AI technologies that are reshaping industries. In today’s digital age, businesses face an explosion of data that is often unstructured, decentralized, and sold. For AI to truly revolutionize enterprise systems, there must be a solid architecture that not only supports large-scale data processing but also enables the seamless integration of AI technologies into every corner of the organization. This book takes a comprehensive approach to AI-driven enterprise architecture, focusing on the technical, strategic, and operational challenges and opportunities associated with AI adoption. The journey from data engineering to generative AI requires a solid foundation of data management and processing capabilities. The book begins by discussing the critical importance of data engineering, the practice of building robust systems for collecting, storing, and transforming data into actionable insights. Understanding how to build and maintain efficient data pipelines, databases, and data lakes forms the backbone of AI integration in an enterprise. This foundational understanding sets the stage for deploying machine learning (ML) models and AI-driven tools, which require sophisticated infrastructure to function on a scale. The integration of machine learning and AI models into enterprise architecture is the central focus of this book. As businesses recognize the value of AI in improving decision-making, automation, and customer experiences, this book guides readers through how to implement AI across multiple enterprise functions. From predictive analytics and automation to natural language processing (NLP) and computer vision, we will examine how these AI technologies interact with existing enterprise systems to create smarter, more efficient business operations. One of the most exciting and rapidly advancing fields in AI is generative AI—a technology that can create new data, designs, or content based on learned patterns. Generative AI tools like GPT-3, DALL-E, and stable diffusion models are now being used to generate text, images, code, and even video. The power of these models lies in their ability to produce new, high-quality content that can be harnessed for marketing, customer engagement, product development, and innovation. This book explores how generative AI fits within the broader enterprise architecture and how businesses can leverage these capabilities to unlock new value streams, foster creativity, and enhance productivity. AI-Driven Enterprise Architecture: From Data Engineering to Generative AI is designed for business leaders, data engineers, architects, and AI practitioners who are looking to understand the potential of AI in their organizations. Through real-world case studies, best practices, and technical insights, this book aims to provide a holistic view of how AI-driven enterprise architecture can deliver long-term strategic value. The book also delves into the challenges and ethical considerations of AI implementation, particularly with regard to data privacy, algorithmic bias, and governance, ensuring that AI is deployed responsibly and sustainably. As businesses embrace AI technologies, it is clear that the future of enterprise architecture will be driven by data-centric, AI-powered models that allow organizations to be more adaptive, responsive, and innovative. This book offers a roadmap for navigating that future, helping organizations transform their architecture to support the AI-driven, intelligent enterprise of tomorrow. We invite you to embark on this journey through the evolving world of AI-driven enterprise architecture, where the combination of data engineering, machine learning, and generative AI is shaping the future of businesses across the globe. Authors
Ai Powered Commerce
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Author : Andy Pandharikar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-01-28
Ai Powered Commerce written by Andy Pandharikar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-28 with Computers categories.
Learn how to use artificial intelligence for product and service innovation, including the diverse use cases of Commerce.AI Key FeaturesLearn how to integrate data and AI in your innovation workflowsUnlock insights into how various industries are using AI for innovationApply your knowledge to real innovation use cases like product strategy and market intelligenceBook Description Commerce.AI is a suite of artificial intelligence (AI) tools, trained on over a trillion data points, to help businesses build next-gen products and services. If you want to be the best business on the block, using AI is a must. Developers and analysts working with AI will be able to put their knowledge to work with this practical guide. You'll begin by learning the core themes of new product and service innovation, including how to identify market opportunities, come up with ideas, and predict trends. With plenty of use cases as reference, you'll learn how to apply AI for innovation, both programmatically and with Commerce.AI. You'll also find out how to analyze product and service data with tools such as GPT-J, Python pandas, Prophet, and TextBlob. As you progress, you'll explore the evolution of commerce in AI, including how top businesses today are using AI. You'll learn how Commerce.AI merges machine learning, product expertise, and big data to help businesses make more accurate decisions. Finally, you'll use the Commerce.AI suite for product ideation and analyzing market trends. By the end of this artificial intelligence book, you'll be able to strategize new product opportunities by using AI, and also have an understanding of how to use Commerce.AI for product ideation, trend analysis, and predictions. What you will learnFind out how machine learning can help you identify new market opportunitiesUnderstand how to use consumer data to create new products and servicesUse state-of-the-art AI frameworks and tools for data analysisLaunch, track, and improve products and services with AIRise above the competition with unparalleled insights from AITurn customer touchpoints into business winsGenerate high-conversion product and service copyWho this book is for This AI book is for AI developers, data scientists, data product managers, analysts, and consumer insights professionals. The book will guide you through the process of product and service innovation, no matter your pre-existing skillset.
Ai Business Trends 2025 Leveraging Artificial Intelligence For Business Innovation And Growth
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Author : Nathan Sterling
language : en
Publisher: Nathan Sterling
Release Date : 2025-05-07
Ai Business Trends 2025 Leveraging Artificial Intelligence For Business Innovation And Growth written by Nathan Sterling and has been published by Nathan Sterling this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Business & Economics categories.
AI Business Trends 2025: Leveraging Artificial Intelligence for Business Innovation and Growth is an essential and forward-thinking guide for entrepreneurs, executives, innovators, and business strategists looking to harness the transformative power of artificial intelligence in the rapidly evolving digital economy. This book provides a comprehensive, narrative-driven analysis of how AI is reshaping the world of business—offering insight, clarity, and real-world application for professionals determined to stay ahead of the curve. As we step into 2025, artificial intelligence is no longer a futuristic concept—it is a present-day force accelerating decision-making, automating operations, redefining customer experiences, and unlocking entirely new business models. In AI Business Trends 2025, readers will gain a deep understanding of how to recognize and respond to the most impactful AI developments across industries, from retail and healthcare to finance, logistics, marketing, and creative services. This book goes beyond surface-level observations and delves into how businesses are using AI not just to do more, but to do better—to solve problems creatively, build deeper customer relationships, and foster innovation at scale. It presents a powerful blend of strategic insights, case studies, and practical frameworks designed to empower professionals at all levels of an organization. Key topics explored in this book include: • The evolution of human-AI collaboration in the workplace and how it’s redefining job roles, team structures, and decision-making processes • AI-driven personalization at scale and how brands are creating highly tailored, emotionally resonant experiences • The impact of intelligent automation on workflows, efficiency, and employee focus • Predictive analytics and real-time decision-making for agile business strategies • The growth of conversational AI and its role in redefining customer service and engagement • Ethics, bias, transparency, and accountability in AI development and deployment • The rise of generative AI and how it's transforming content creation, product design, and co-innovation • Talent acquisition, reskilling, and workforce development in an AI-augmented economy • Industry-specific transformations, featuring immersive case studies in logistics, media, education, healthcare, and more • Cultivating AI-ready business cultures that prioritize trust, experimentation, and responsible growth From startup founders and corporate innovators to consultants, marketers, and educators, this book is a must-read for anyone looking to understand how artificial intelligence is not just enhancing operations, but reshaping the very foundation of business value and strategy. What sets AI Business Trends 2025 apart is its human-centered approach. Instead of portraying AI as a cold, abstract force, it shows how machine intelligence, when paired with emotional intelligence and ethical clarity, becomes a catalyst for meaningful progress. The narrative style is immersive, conversational, and packed with takeaways that make complex ideas accessible and actionable. Whether you're developing AI-driven products, adapting your organization to an AI-infused future, or simply trying to make sense of the change around you, this book will help you do so with vision, clarity, and confidence. AI Business Trends 2025: Leveraging Artificial Intelligence for Business Innovation and Growth is more than a guide to technology trends—it’s a roadmap for sustainable, responsible innovation in a world increasingly powered by algorithms, data, and digital agility. Step into the future. Lead with intelligence. Build what’s next.
Platforms And Artificial Intelligence
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Author : Ahmed Bounfour
language : en
Publisher:
Release Date : 2022
Platforms And Artificial Intelligence written by Ahmed Bounfour and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Artificial intelligence (AI) and platforms are closely related. Most investments in AI, especially in critical technologies, are provided by large platforms. This book describes how platforms invest in AI and how AI will impact the next generation of competences, following a twofold approach to do so: on the one hand, the book seeks to understand how platforms for investment in intangibles and AI are organized, but on the other hand, it provides a framework to describe how AI will change jobs and competences in the future. Moreover, the book addresses five main themes: 1. platforms, platformization, and the foundations of their business models; 2. artificial intelligence, technological tendencies, and the policy agenda; 3. artificial intelligence, productivity, and the next generation of competences; 4. artificial intelligence, productivity, and the digital divide; 5. artificial intelligence, ethics, and the post-truth society. The book's content is mostly based on papers presented at the last two installments of the World Conference on Intellectual Capital for Communities. It brings together the views of leading scholars and experts on how artificial intelligence and platformization will impact competences in the near future.