Leveraging Generative Ai For Enterprise Architecture
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Leveraging Generative Ai For Enterprise Architecture
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date : 2023-08-03
Leveraging Generative Ai For Enterprise Architecture written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-03 with Computers categories.
When it comes to understanding the potential of generative AI in the field of enterprise architecture, the possibilities are truly limitless. In this subchapter, we will explore how this technology can be leveraged to transform the way organizations approach their architectural design and decision-making processes. Generative AI, a subset of artificial intelligence, has the capability to generate novel ideas, designs, and solutions based on a given set of parameters and objectives. This can revolutionize the way organizations approach enterprise architecture, as it offers the ability to automate and optimize various aspects of the architectural process. In this subchapter, we will delve into the key concepts and principles of generative AI and its relevance to enterprise architecture. We will explore how this technology can be utilized to streamline the design and decision-making process, reduce time and resources, and ultimately enhance the overall effectiveness of an organization's architectural endeavors. Furthermore, we will discuss the various applications and use cases of generative AI in enterprise architecture. From creating intelligent blueprints to generating optimized architectural designs, this technology can assist architects and organizations in making informed decisions and developing innovative solutions. To fully grasp the potential of generative AI in enterprise architecture, it is crucial to understand the challenges and considerations associated with its implementation. We will address the potential limitations and risks of relying solely on generative AI, while also highlighting the importance of human expertise and collaboration in conjunction with this technology. Lastly, in this subchapter, we will provide practical guidance on how organizations can begin incorporating generative AI into their architectural processes. We will outline the steps and best practices required to successfully implement generative AI solutions, while also emphasizing the need for continuous learning and adaptation.
The Intelligent Blueprint Leveraging Generative Ai For Enterprise Architecture
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date : 2023-10-30
The Intelligent Blueprint Leveraging Generative Ai For Enterprise Architecture written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-30 with Computers categories.
Handy Book for Generative AI in Enterprise Architecture
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
Ultimate Chatgpt Handbook For Enterprises Transform The Enterprise Landscape By Leveraging Ai Capabilities Prompt Engineering Gpt Solution Cycles Of Chatgpt With Python And Java
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Author : Dr. Harald
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2023-11-21
Ultimate Chatgpt Handbook For Enterprises Transform The Enterprise Landscape By Leveraging Ai Capabilities Prompt Engineering Gpt Solution Cycles Of Chatgpt With Python And Java written by Dr. Harald and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-21 with Computers categories.
Empowering the Global Workforce with ChatGPT Expertise. Key Features ● Comprehensive Guide to GPT Evolution, AI Capabilities, and Prompt Engineering. ● Design Patterns for Enterprise Personas, Architectures, and AI Assistants. ● Management of the GPT Solution Development Cycle. Book Description“Ultimate ChatGPT Handbook for Enterprises” is your indispensable resource for navigating the transformative world of ChatGPT within the enterprise domain. It provides a deep dive into ChatGPT's evolution, capabilities, and its potential to democratize technology interactions through natural language. Throughout its chapters, you'll embark on a journey that spans from comprehending the lineage of GPT models to mastering advanced prompt engineering techniques. It will help you take a step into a futuristic enterprise landscape where ChatGPT seamlessly collaborates with human intelligence, fundamentally transforming daily work routines across various enterprise roles. The latter chapters will help you attain proficiency in managing GPT projects, discovering the agile and iterative approach to GPT solution life cycles using real-world scenarios. You will also be introduced to practical GPT implementation frameworks for both Python and Java. What you will learn● Acquire the expertise to design intelligent assistants that elevate enterprise operations, promoting efficiency and innovation. ● Gain practical skills to implement ChatGPT solutions using Python and Java, enabling seamless integration with your enterprise systems. ● Learn effective project management from initiation to validation and change management, ensuring successful GPT solution implementation in enterprises. ● Explore how ChatGPT can reshape various roles, boosting productivity and fostering harmonious AI-human collaboration in the workplace. Who is this book for? This book is designed for business professionals, IT specialists, and AI enthusiasts who are eager to delve into the transformative world of ChatGPT and its applications in the enterprise landscape. Table of Contents1. From GPT-1 to ChatGPT-4: The Evolution Towards Generative AI 2. CapabilityGPT An Enterprise AI-Capability Framework for ChatGPT 3. The Impact of ChatGPT on the Enterprise 4. Architecture Patterns enabled by GPT-Models 5. Advanced GPT Prompt Engineering Techniques 6. Designing Prompt-based Intelligent Assistants 7. Mastery of GPT-Projects 8. LangChain: GPT Implementation Framework for Python 9. predictive-powers: GPT Implementation Framework for Java APPENDIX A: APPENDIX B:
Generative Ai For Enterprises
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Author : Vishal Anand
language : en
Publisher: BPB Publications
Release Date : 2024-07-26
Generative Ai For Enterprises written by Vishal Anand and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-26 with Computers categories.
DESCRIPTION Generative AI can streamline technical and business processes, increase efficiency, and free up your resources’ time to focus on more strategic initiatives. This book takes the readers through a series of steps to deepen their understanding of the forces that shape an organization’s implementation of Generative AI at scale and successfully dealing with them. This book starts with GenAI potential uses, challenges and enterprise deployment strategies. You will learn to scale GenAI models along with LLMOps, choose the right LLM, and use prompt engineering and fine-tuning to customize the outputs. This book introduces a GenAI operating system as well as an orchestration platform for workflow automation. It discusses ethical considerations, designing a target operating model, cost optimization, Retrieval-augmented Generation (RAG), Model as a Service (MaaS), and Confidential AI. Finally, it explores the future of multi-modal AI assistants in enterprises. This book makes it easier for readers to debunk myths, and address fallacies and common misconceptions that could harm organizational investment and reputation. There are also practical and enterprise class scenarios and information that could help in improving implementations, within your organization, enabling you to achieve success beyond scaling challenges. KEY FEATURES ● Understand challenges and dimensions of model at scale. ● Understand model selection criteria, deployment patterns, and positioning. ● Design operating system and demarcation of landing zones. ● Understand enterprise application of prompt engineering and fine-tuning. ● Understand operating model, orchestration platform, multi AI assistants and ethical considerations. ● Understand various latency factors for Gen AI solutions. WHAT YOU WILL LEARN ● Strategies for scaling GenAI models and discovering LLMOps for managing them. ● How to leverage GenAI to streamline enterprise class processes, boost efficiency, and explore new possibilities. ● Implementations in the enterprise class deployments, addressing potential issues and connecting with enablers and accurate growth strategy and execution principles. WHO THIS BOOK IS FOR This book is for decision makers like CIOs, CTOs, CAIOs, Enterprise Architects, Chief Engineers, and anyone who wishes to learn how to have a rewarding implementation of Generative AI for their organizations and clients. TABLE OF CONTENTS 1. The Rise of Generative AI in Enterprises 2. Complex Needs of Production 3. Model Selection for Enterprises 4. Model Deployment for Enterprises 5. Operating System for Enterprises 6. Prompt Engineering for Enterprises 7. Fine-tuning for Enterprises 8. Orchestration of Generative AI Workflows 9. Six Ethical Dimensions for Enterprises 10. Designing a Target Operating Model 11. Cost Optimization Strategies 12. Retrieval-augmented Generation for Enterprises 13. Model as a Service for Enterprises 14. Confidential AI 15. Latency in Generative AI Solutions 16. Multi-modal Multi-agentic Assistant Framework for Enterprises
Generative Ai For Healthcare
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Author : Laks Sundararajan
language : en
Publisher: BPB Publications
Release Date : 2025-04-19
Generative Ai For Healthcare written by Laks Sundararajan and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-19 with Computers categories.
DESCRIPTION This book explores how generative AI is transforming the healthcare industry, enabling smarter decision-making, enhanced patient care, and improved operational efficiency. This book serves as your essential guide to understanding and applying these cutting-edge technologies, specifically designed for healthcare professionals seeking to navigate this evolving landscape. You will go through the core principles of generative AI, starting with foundational deep learning and neural network concepts and then progressing to practical applications for payers, providers, and health tech innovators. Readers will understand how payers can leverage AI, while providers will learn how AI can enhance medical imaging, generate synthetic patient data, and enable personalized treatment planning. Life sciences companies will discover AI’s role in accelerating drug discovery, powering diagnostics, and creating personalized health applications. This book addresses vital aspects of data management, including privacy and ethical considerations. Finally, you will look into future trends, such as AI-assisted surgery and personalized medicine, and learn the collaborative strategies necessary to integrate generative AI into modern healthcare. By the end of this book, you will have understood how generative AI functions and how it can be applied across the healthcare sector, empowering you to confidently contribute to and lead the next wave of innovation in patient care and medical technology. WHAT YOU WILL LEARN ● Understand generative AI fundamentals and its role in healthcare. ● Apply AI for fraud detection, risk assessment, and efficiency. ● Leverage AI to enhance imaging, diagnostics, and patient care. ● Navigate data challenges, compliance, and ethical AI concerns. ● Implement AI strategies for payers, providers, and life sciences. ● Explore future AI trends and innovations in healthcare. ● Build AI wellness apps, understand HIPAA/GDPR, and prepare for AI's future. WHO THIS BOOK IS FOR This book is for healthcare professionals, technology leaders, and business executives looking to understand and implement generative AI in healthcare. A basic understanding of healthcare operations, data management, or AI concepts is helpful but not required. TABLE OF CONTENTS 1. Introduction to Generative AI in Healthcare 2. Generative AI for Healthcare Professionals 3. Generative AI for Payers 4. Generative AI for Providers 5. Generative AI for Health Tech Companies 6. Data Considerations for Generative AI in Healthcare 7. Ethical and Regulatory Considerations 8. Future Outlook and Opportunities 9. Towards a Generative AI-Driven Healthcare
The Potential Of Generative Ai
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Author : Divit Gupta
language : en
Publisher: BPB Publications
Release Date : 2024-01-06
The Potential Of Generative Ai written by Divit Gupta and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-06 with Computers categories.
Unveiling the power and potential of Generative AI for a limitless future KEY FEATURES ● Holistic and accessible journey into Generative AI. ● Indispensable guide for unleashing Generative AI potential. ● Transforming technology, business, art, and innovation, covering technological advancements and business optimization. DESCRIPTION The Potential of Generative AI invites you for a captivating journey into the revolutionary technology, where machines become co-creators and the line between imagination and reality blurs. You will learn how AI helps doctors, engineers, and scientists solve real-world problems. Next, you will explore use cases where ChatGPT can boost productivity and enhance creativity. The book explores the journey from the origins of this revolutionary technology to its cutting-edge applications. Discover how generative models like GANs and VAEs work, and familiarize yourself with the impact they are making in fields like healthcare, finance, and art. Through real-world case studies and engaging examples, you will witness AI generating life-saving drugs, composing music, and even designing innovative products. This book explores the cutting-edge capabilities and potential of generative AI in the tech landscape. It will help you discover how generative AI can unlock new opportunities and enhance business operations. WHAT YOU WILL LEARN ● Learn about the different types of generative models, how they work, and their impact across various industries including healthcare, finance, and entertainment. ● Explore the creative potential of generative AI in art, music, and design. ● Develop Generative Adversarial Networks (GANs), with a focus on their architecture, training process, and real-world applications. ● Build and deploy generative models, ensuring readers to leverage this powerful technology. ● Perfect the art of generating text, images, music, and even code with AI, utilize your creative potential. WHO THIS BOOK IS FOR This book is for artists, programmers, musicians, designers, writers, researchers, entrepreneurs, scientists, Machine Learning practitioners and dreamers of all sorts. Generative AI awaits and is ready to transform your craft and empower your vision. TABLE OF CONTENTS 1. Introduction to Generative AI 2. Generative AI in Industries 3. Fundamentals of Generative Models 4. Applications Across Industries 5. Creative Expression with Generative AI 6. Generative AI in Business and Innovation 7. Deep Dive into GANs 8. Building and Deploying Generative Models
Microsoft Dynamics 365 Ai For Business Insights
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Author : Dmitry Shargorodsky
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-29
Microsoft Dynamics 365 Ai For Business Insights written by Dmitry Shargorodsky 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 2024-03-29 with Computers categories.
Streamline your business operations by leveraging AI across key functions using practical examples and insightful case studies Key Features Uncover the practical applications of Dynamics 365 AI across sales, customer service, marketing, and finance Explore Dynamics 365’s integration with advanced AI tools such as OpenAI, Azure Open AI, and MS Copilot Learn from real-world examples and case studies Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIf there is one hot topic being discussed in every boardroom meeting today, it’s AI. With Microsoft Dynamics 365 AI proving to be a game-changer, it’s essential for business professionals to master this tool. Microsoft Dynamics 365 AI for Business Insights will help you harness AI across key business functions to streamline processes and enhance customer experiences. Written by a seasoned professional with 15+ years of experience, this book guides you through Dynamics 365 AI’s practical applications across sales, customer service, marketing, and finance departments. You'll learn how to enhance customer experiences, streamline sales processes, optimize marketing strategies, and improve financial forecasting. This book also explores the integration of generative AI tools such as OpenAI Service, Azure Open AI, language models, and Microsoft Copilot within the Dynamics 365 ecosystem. With real-world examples, case studies, and expert insights, you’ll discover the transformative potential of this powerful toolkit. As well as driving sales insights and implementing fraud protection, you’ll explore emerging AI trends, Microsoft's roadmap for Dynamics 365 AI, and the upcoming features. By the end, you’ll be all set to unlock new growth opportunities using Dynamics 365 AI. What you will learn Overcome common challenges in Dynamics 365 AI implementation with ease Delve into the practical applications of advanced generative AI tools Integrate cutting-edge tools such as OpenAI Service, Azure Open AI, language models, and Microsoft Copilot with Dynamics 365 AI Derive insights from real-world examples of successful AI implementation Discover best practices and strategies for leveraging AI to find useful business insights and enhance operations Explore Microsoft's roadmap for Dynamics 365 AI and the forthcoming trends in AI for business Who this book is for This book is for Dynamics 365 consultants, architects, and IT managers, willing to implement AI in their organizations. Business consultants advising on business technology, especially those focused on Microsoft Dynamics 365, will find it useful for enhancing their skills. A basic understanding of Microsoft Dynamics 365 and its suite of business applications will be beneficial as the book’s focus is on implementing the tool’s AI modules. Familiarity with the principles of artificial intelligence and how it is applied in a business context will also be helpful.
Data Products And The Data Mesh
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Author : Alberto Artasanchez
language : en
Publisher: The Data Science Ninja
Release Date :
Data Products And The Data Mesh written by Alberto Artasanchez and has been published by The Data Science Ninja this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
"Data Products and the Data Mesh" is a comprehensive guide that explores the emerging paradigm of the data mesh and its implications for organizations navigating the data-driven landscape. This book equips readers with the knowledge and insights needed to design, build, and manage effective data products within the data mesh framework. The book starts by introducing the core concepts and principles of the data mesh, highlighting the shift from centralized data architectures to decentralized, domain-oriented approaches. It delves into the key components of the data mesh, including federated data governance, data marketplaces, data virtualization, and adaptive data products. Each chapter provides in-depth analysis, practical strategies, and real-world examples to illustrate the application of these concepts. Readers will gain a deep understanding of how the data mesh fosters a culture of data ownership, collaboration, and innovation. They will explore the role of modern data architectures, such as data marketplaces, in facilitating decentralized data sharing, access, and monetization. The book also delves into the significance of emerging technologies like blockchain, AI, and machine learning in enhancing data integrity, security, and value creation. Throughout the book, readers will discover practical insights and best practices to overcome challenges related to data governance, scalability, privacy, and compliance. They will learn how to optimize data workflows, leverage domain-driven design principles, and harness the power of data virtualization to drive meaningful insights and create impactful data products. "Data Products and the Data Mesh" is an essential resource for data professionals, architects, and leaders seeking to navigate the complex world of data products within the data mesh paradigm. It provides a comprehensive roadmap for building a scalable, decentralized, and innovative data ecosystem that empowers organizations to unlock the full potential of their data assets and drive data-driven success.
Business Information Systems
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Author : Krzysztof Węcel
language : en
Publisher: Springer Nature
Release Date : 2025-06-15
Business Information Systems written by Krzysztof Węcel and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-15 with Computers categories.
This book constitutes the proceedings of the 25th International Conference on Business Information Systems, BIS 2025, which took place in Poznan, Poland, during June 25-27, 2025. This year's theme was "AI-driven business transformation: challenges and opportunities". The 19 full papers and 4 short papers presented in this volume were carefully reviewed and selected from 54 submissions. The papers were organized in the following topical sections: Artificial intelligence in management; artificial intelligence for visualization; artificial intelligence for language processing; process mining; finance and privacy; data platforms and deployment; sustainable operations and smart automation.