Enterprise Architecture In The Age Of A I
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Enterprise Architecture In The Age Of A I
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Author : Ian Loe
language : en
Publisher: Ian Loe
Release Date : 2024-09-17
Enterprise Architecture In The Age Of A I written by Ian Loe and has been published by Ian Loe this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-17 with Computers categories.
"Enterprise Architecture in the Age of AI: Challenges and Opportunities" is a strategic guide that explores how Artificial Intelligence (AI) is transforming Enterprise Architecture (EA) to create smarter, more agile, and data-driven organisations. The book provides an overview of AI’s impact on EA frameworks, roles, and responsibilities, offering insights into building AI-ready architectures, integrating AI with existing systems, and leveraging AI for enhanced decision-making and automation. It addresses the opportunities and challenges of AI-driven EA, including AI governance, ethics, and risk management, and presents a suggested roadmap for AI integration. Ideal for enterprise architects, IT leaders, and digital transformation professionals, this book equips readers with the knowledge and tools needed to harness AI to drive innovation in a rapidly evolving digital landscape.
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
Unit Oriented Enterprise Architecture
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Author : Andre Milchman
language : en
Publisher: Springer Nature
Release Date : 2025-02-17
Unit Oriented Enterprise Architecture written by Andre Milchman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-17 with Computers categories.
Examine a new approach to Enterprise Architecture (EA) that challenges conventional practices and supports a transformative shift to address the demands of a rapidly evolving technological landscape. This book offers alternatives to traditional EA methods that often divide the enterprise into isolated business, application, data, and technology architectures, often resulting in disjointed operations and missed opportunities for innovation. By proposing an innovative, purpose-driven architectural style, this book emphasizes the need for a cohesive and adaptive framework that aligns all components of an enterprise with its strategic goals. Key concepts explored include the integration of social and technical elements in building large sociotechnical systems, the introduction of Unit Oriented Enterprise Architecture (UOEA) for modular and adaptable enterprise design, and the importance of Purpose Driven Design (PDD) in ensuring operational efficiency and strategic alignment. You’ll also gain insights into organizing software engineering in the cloud era, streamlining enterprise interactions, and embracing creative destruction to foster technological harmony. Unit Oriented Enterprise Architecture is your essential resource for system architects, organizational leaders, IT professionals, and students seeking to revolutionize their approach to enterprise architecture and position their organizations for success in the digital age. What You Will Learn Critically assess and dismantle outdated EA concepts to create a more adaptive and cohesive architectural framework. Explore how UOEA can enhance agility and adaptability, allowing your organization to respond more effectively to change. Organize and manage software development within cloud infrastructures, ensuring clarity, scalability, and alignment with your architectural framework. Who This Book Is For Primary Audience: Enterprise architects, organizational leaders, IT professionals; Secondary Audience: Consultants, advisors, and policymakers; Tertiary Audience: Students in system design and organizational studies, academic researchers
Designed For Digital
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Author : Jeanne W. Ross
language : en
Publisher: MIT Press
Release Date : 2019-09-24
Designed For Digital written by Jeanne W. Ross and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-24 with Business & Economics categories.
Practical advice for redesigning “big, old” companies for digital success, with examples from Amazon, BNY Mellon, LEGO, Philips, USAA, and many other global organizations. Most established companies have deployed such digital technologies as the cloud, mobile apps, the internet of things, and artificial intelligence. But few established companies are designed for digital. This book offers an essential guide for retooling organizations for digital success. In the digital economy, rapid pace of change in technology capabilities and customer desires means that business strategy must be fluid. As a result, the authors explain, business design has become a critical management responsibility. Effective business design enables a company to quickly pivot in response to new competitive threats and opportunities. Most leaders today, however, rely on organizational structure to implement strategy, unaware that structure inhibits, rather than enables, agility. In companies that are designed for digital, people, processes, data, and technology are synchronized to identify and deliver innovative customer solutions—and redefine strategy. Digital design, not strategy, is what separates winners from losers in the digital economy. Designed for Digital offers practical advice on digital transformation, with examples that include Amazon, BNY Mellon, DBS Bank, LEGO, Philips, Schneider Electric, USAA, and many other global organizations. Drawing on five years of research and in-depth case studies, the book is an essential guide for companies that want to disrupt rather than be disrupted in the new digital landscape. Five Building Blocks of Digital Business Success: Shared Customer Insights Operational Backbone Digital Platform Accountability Framework External Developer Platform
Architecture In The Age Of Artificial Intelligence
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Author : Neil Leach
language : en
Publisher: Bloomsbury Publishing
Release Date : 2021-11-18
Architecture In The Age Of Artificial Intelligence written by Neil Leach and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-18 with Architecture categories.
Artificial intelligence is everywhere – from the apps on our phones to the algorithms of search engines. Without us noticing, the AI revolution has arrived. But what does this mean for the world of design? The first volume in a two-book series, Architecture in the Age of Artificial Intelligence introduces AI for designers and considers its positive potential for the future of architecture and design. Explaining what AI is and how it works, the book examines how different manifestations of AI will impact the discipline and profession of architecture. Highlighting current case-studies as well as near-future applications, it shows how AI is already being used as a powerful design tool, and how AI-driven information systems will soon transform the design of buildings and cities. Far-sighted, provocative and challenging, yet rooted in careful research and cautious speculation, this book, written by architect and theorist Neil Leach, is a must-read for all architects and designers – including students of architecture and all design professionals interested in keeping their practice at the cutting edge of technology.
Architecting The Digital Transformation
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Author : Alfred Zimmermann
language : en
Publisher: Springer Nature
Release Date : 2020-07-27
Architecting The Digital Transformation written by Alfred Zimmermann and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-27 with Technology & Engineering categories.
This research-oriented book presents key contributions on architecting the digital transformation. It includes the following main sections covering 20 chapters: · Digital Transformation · Digital Business · Digital Architecture · Decision Support · Digital Applications Focusing on digital architectures for smart digital products and services, it is a valuable resource for researchers, doctoral students, postgraduates, graduates, undergraduates, academics and practitioners interested in digital transformation.
Public Governance Practices In The Age Of Ai
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Author : Wongmahesak, Kittisak
language : en
Publisher: IGI Global
Release Date : 2025-03-13
Public Governance Practices In The Age Of Ai written by Wongmahesak, Kittisak and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-13 with Political Science categories.
Advances in digital technology have driven public administration from new public administration (public administration 3.0) to digital public administration (public administration 4.0). In the same way, advances in artificial intelligence (AI) technology have driven digital public administration (public administration 4.0) into super smart society (public administration 5.0). With official recognition of its existence as a separate era, it can be said that AI is an important condition causing significant changes to public administration. Therefore, understanding it both in theory and in practice is very important. Public Governance Practices in the Age of AI explores the evolution of public administration in the digital age, highlighting the shift from traditional governance models to AI-driven public administration 5.0. It examines the transformative role of artificial intelligence in shaping policies, decision-making, and service delivery, offering insights into both theoretical frameworks and practical applications. Covering topics such as local administrative organizations, public participation, and global digital education, this book is an excellent resource for public administrators, public managers, educators, researchers, professionals, scholars, academicians, and more.
Competing In The Age Of Ai
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Author : Marco Iansiti
language : en
Publisher: Harvard Business Press
Release Date : 2020-01-07
Competing In The Age Of Ai written by Marco Iansiti and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-07 with Business & Economics categories.
"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.
Proceedings Of The 2024 2nd International Conference On Economic Management Financial Innovation And Public Service Emfips 2024
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Author : Peng Dou
language : en
Publisher: Springer Nature
Release Date : 2025-06-08
Proceedings Of The 2024 2nd International Conference On Economic Management Financial Innovation And Public Service Emfips 2024 written by Peng Dou and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-08 with Business & Economics categories.
This is an open access book. 2024 2th International Conference on Economic Management, Financial lnnovation and Public Service(EMFIPS 2024) will be held from December 28 to 29 in Cangzhou, China. The conference is dedicated to building an academic exchange platform for experts and scholars in the fields of economic management, financial innovation and public services. The concept of the conference is to allow scientists, scholars, engineers and students from universities and industries around the world to showcase ongoing research activities, thus promoting research relationships between universities and industries. Economic development provides a basic material foundation for public services, and public services lay a good social foundation for economic development. The conference provides an opportunity for delegates to meet face-to-face to exchange new ideas and applied experiences, to establish business or research relationships, and to find global partners for future collaborations.
Smarter Data Science
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Author : Neal Fishman
language : en
Publisher: John Wiley & Sons
Release Date : 2020-06-03
Smarter Data Science written by Neal Fishman and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-03 with Computers categories.
Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their data Enterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result, the vast majority fail. These expensive quagmires can be avoided, and this book explains precisely how. Data science is emerging as a hands-on tool for not just data scientists, but business professionals as well. Managers, directors, IT leaders, and analysts must expand their use of data science capabilities for the organization to stay competitive. Smarter Data Science helps them achieve their enterprise-grade data projects and AI goals. It serves as a guide to building a robust and comprehensive information architecture program that enables sustainable and scalable AI deployments. When an organization manages its data effectively, its data science program becomes a fully scalable function that’s both prescriptive and repeatable. With an understanding of data science principles, practitioners are also empowered to lead their organizations in establishing and deploying viable AI. They employ the tools of machine learning, deep learning, and AI to extract greater value from data for the benefit of the enterprise. By following a ladder framework that promotes prescriptive capabilities, organizations can make data science accessible to a range of team members, democratizing data science throughout the organization. Companies that collect, organize, and analyze data can move forward to additional data science achievements: Improving time-to-value with infused AI models for common use cases Optimizing knowledge work and business processes Utilizing AI-based business intelligence and data visualization Establishing a data topology to support general or highly specialized needs Successfully completing AI projects in a predictable manner Coordinating the use of AI from any compute node. From inner edges to outer edges: cloud, fog, and mist computing When they climb the ladder presented in this book, businesspeople and data scientists alike will be able to improve and foster repeatable capabilities. They will have the knowledge to maximize their AI and data assets for the benefit of their organizations.