Ai Driven Enterprise Architecture From Data Engineering To Generative Ai 2025

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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 Agentic Ai With Autogen For Enterprise Automation Design Build And Deploy Enterprise Grade Ai Agents Using Llms And Autogen To Power Intelligent Scalable Enterprise Automation

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Author : Rathish Mohan
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-06-30

Ultimate Agentic Ai With Autogen For Enterprise Automation Design Build And Deploy Enterprise Grade Ai Agents Using Llms And Autogen To Power Intelligent Scalable Enterprise Automation written by Rathish Mohan 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 2025-06-30 with Computers categories.

Empowering Enterprises with Scalable, Intelligent AI Agents. Key Features● Hands-on practical guidance with step-by-step tutorials and real-world examples.● Build and deploy enterprise-grade LLM agents using the AutoGen framework.● Optimize, scale, secure, and maintain AI agents in real-world business settings. Book DescriptionIn an era where artificial intelligence is transforming enterprises, Large Language Models (LLMs) are unlocking new frontiers in automation, augmentation, and intelligent decision-making. Ultimate Agentic AI with AutoGen for Enterprise Automation bridges the gap between foundational AI concepts and hands-on implementation, empowering professionals to build scalable and intelligent enterprise agents. The book begins with the core principles of LLM agents and gradually moves into advanced topics such as agent architecture, tool integration, memory systems, and context awareness. Readers will learn how to design task-specific agents, apply ethical and security guardrails, and operationalize them using the powerful AutoGen framework. Each chapter includes practical examples—from customer support to internal process automation—ensuring concepts are actionable in real-world settings. By the end of this book, you will have a comprehensive understanding of how to design, develop, deploy, and maintain LLM-powered agents tailored for enterprise needs. Whether you're a developer, data scientist, or enterprise architect, this guide offers a structured path to transform intelligent agent concepts into production-ready solutions. What you will learn● Design and implement intelligent LLM agents using the AutoGen framework.● Integrate external tools and APIs to enhance agent functionality.● Fine-tune agent behavior for enterprise-specific use cases and goals.● Deploy secure, scalable AI agents in real-world production environments.● Monitor, evaluate, and maintain agents with robust operational strategies.● Automate complex business workflows using enterprise-grade AI solutions.

Computational Science And Its Applications Iccsa 2025

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Author : Osvaldo Gervasi
language : en
Publisher: Springer Nature
Release Date : 2025-06-27

Computational Science And Its Applications Iccsa 2025 written by Osvaldo Gervasi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Computers categories.

The three-volumes LNCS 15648, 15649, 15650 set constitutes the refereed proceedings of the 25th International Conference on Computational Science and Its Applications - ICCSA 2025, held in Istanbul, Turkey, during June 30–July 3, 2025. The 71 full papers, 6 short papers, and 1 PHD showcase paper were carefully reviewed and selected from 269 submissions. The papers have been organized in topical sections as follows: Part I: Computational Methods, Algorithms and Scientific Applications; High Performance Computing and Networks; Geometric Modeling, Graphics and Visualization; Advanced and Emerging Applications; Information Systems and Technologies; Urban and Regional Planning. Part II: Information Systems and Technologies; Part III: Information Systems and Technologies; Urban and Regional Planning; PHD Showcase Paper; Short papers.

Building Data Driven Edge Systems For Business Success

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Author : Minakshi
language : en
Publisher: IGI Global
Release Date : 2025-08-08

Building Data Driven Edge Systems For Business Success written by Minakshi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-08 with Computers categories.

In today’s digital economy, data-driven edge systems have become essential for businesses seeking agility and efficiency. Processing data closer to the source, organizations can achieve real time insights and improve decision making for these companies. These systems empower businesses to respond rapidly to market demands, optimize operations, and deliver personalized customer experiences. Building Data-Driven Edge Systems for Business Success provides comprehensive guidance for organizations implementing edge computing solutions to drive business value. It delves into the architecture, implementation strategies, and best practices that enable businesses to harness the power of edge intelligence, while addressing critical challenges in security, scalability, and resource optimization. Covering topics such as data analytics, computing principles, and innovation, this book is an excellent resource for data scientists, educators, students, researchers, academicians, business practitioners, and more.

Designing Scalable And Intelligent Cloud Architectures An End To End Guide To Ai Driven Platforms Mlops Pipelines And Data Engineering For Digital Transformation

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Author : Phanish Lakkarasu
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-06

Designing Scalable And Intelligent Cloud Architectures An End To End Guide To Ai Driven Platforms Mlops Pipelines And Data Engineering For Digital Transformation written by Phanish Lakkarasu 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 2025-06-06 with Computers categories.

In today’s fast-paced digital era, organizations are under constant pressure to innovate, scale, and deliver intelligent services with speed and reliability. Designing Scalable and Intelligent Cloud Architectures: An End-to-End Guide to AI-Driven Platforms, MLOps Pipelines, and Data Engineering for Digital Transformation is a comprehensive exploration into the foundational and advanced components required to build robust, future-ready cloud ecosystems. This book is the product of years of observing the shifting paradigms in enterprise IT—from legacy systems and monolithic architectures to microservices, serverless computing, and AI-powered infrastructure. At the heart of this evolution lies the need for cloud-native platforms that are not only scalable and resilient but also intelligent and automation-ready. The content in these pages is aimed at architects, engineers, data scientists, DevOps professionals, and digital transformation leaders who seek to understand and implement the key building blocks of modern cloud systems. It delves into the design principles behind scalable infrastructure, best practices for integrating AI and Machine Learning, and the implementation of MLOps pipelines to streamline deployment, monitoring, and continuous improvement of ML models. Furthermore, it provides practical insights into data engineering strategies that ensure secure, efficient, and real-time data flow across distributed environments. We also explore critical topics such as multi-cloud and hybrid cloud strategies, edge computing, observability, cost optimization, and governance—ensuring that readers are equipped to tackle both the technical and operational challenges of building next-generation platforms. What sets this book apart is its unified approach to cloud, AI, and data engineering—treating them not as isolated silos but as interconnected pillars of intelligent digital transformation. Whether you are designing enterprise-grade solutions or modernizing existing infrastructures, this guide will serve as your companion in navigating complexity with clarity and confidence.

Essential Solutions Architect S Handbook

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Author : Bikramjit Debnath
language : en
Publisher: BPB Publications
Release Date : 2025-04-30

Essential Solutions Architect S Handbook written by Bikramjit Debnath and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.

DESCRIPTION In an era where cloud computing, AI, and automation are reshaping industries, this book offers a comprehensive guide for IT professionals seeking to master modern software architecture. It will help bridge the gap between technical expertise and strategic leadership, empowering developers and mid-career professionals to stay ahead in an AI-driven, cloud-first world. Structured into six categories, this book covers key areas such as cloud foundations and migration, modern application development, and AI and advanced technologies. Readers will learn strategies for seamless cloud migration, microservices, serverless computing, and real-time data processing. This book will also provide insights into AI architecture, MLOps, and cloud data warehousing. The book’s focus on infrastructure automation, observability, and FinOps ensures operational efficiency while preparing you for future technological trends like hybrid/multi-cloud strategies, quantum computing, and sustainable IT practices. After reading this book, readers will have gained practical skills in cloud architecture, AI deployment, and data-driven decision-making. With strategic insights and industry best practices, they will be well-equipped to take on leadership roles such as solution architect, enterprise architect, or CTO, driving innovation and shaping the future of technology in their organizations. WHAT YOU WILL LEARN ● Understand solution architecture principles and design scalable solutions. ● Learn cloud migration strategies, including data center and application assessments. ● Explore modern application design practices like microservices and serverless. ● Master data management, governance, and real-time data processing techniques. ● Gain insights into generative AI, AI operationalization, and MLOps. ● Automate infrastructure with IaC, observability, and site reliability engineering. WHO THIS BOOK IS FOR This book is designed for experienced cloud engineers, cloud developers, systems administrators, and solutions architects who aim to expand their expertise toward a CTO-level understanding. It is perfect for professionals with intermediate to advanced knowledge of cloud technologies, systems architecture, and programming, seeking to elevate their strategic and technical skills. TABLE OF CONTENTS 1. Introduction to Solution Architecture 2. Cloud Migration Essentials 3. Operational Excellence in Cloud 4. Modern Application Architecture 5. Development Practices and Tools 6. Data Architecture and Processing 7. Data Strategy and Governance 8. Advanced Analytics 9. Generative AI and Machine Learning 10. Automation and Infra Management 11. FinOps Foundations 12. Security, Privacy, and Ethics 13. Innovation and Future Technologies 14. CTO’s Playbook for Transformation APPENDIX: Additional Resources for Further Learning

Aws Certified Data Engineer Study Guide

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Author : Syed Humair
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-13

Aws Certified Data Engineer Study Guide written by Syed Humair 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 2025-03-13 with Computers categories.

Your complete Guide to preparing for the AWS® Certified Data Engineer: Associate exam The AWS® Certified Data Engineer Study Guide is your one-stop resource for complete coverage of the challenging DEA-C01 Associate exam. This Sybex Study Guide covers 100% of the DEA-C01 objectives. Prepare for the exam faster and smarter with Sybex thanks to accurate content including, an assessment test that validates and measures exam readiness, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and retain what you’ve learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get ready for the AWS Certified Data Engineer exam – quickly and efficiently – with Sybex. Coverage of 100% of all exam objectives in this Study Guide means you’ll be ready for: Data Ingestion and Transformation Data Store Management Data Operations and Support Data Security and Governance ABOUT THE AWS DATA ENGINEER – ASSOCIATE CERTIFICATION The AWS Data Engineer – Associate certification validates skills and knowledge in core data-related Amazon Web Services. It recognizes your ability to implement data pipelines and to monitor, troubleshoot, and optimize cost and performance issues in accordance with best practices Interactive learning environment Take your exam prep to the next level with Sybex’s superior interactive online study tools. To access our learning environment, simply visit www.wiley.com/go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to: • Interactive test bank with 5 practice exams to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you’re ready to take the certification exam. • 100 electronic flashcards to reinforce learning and last-minute prep before the exam • Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared

Building Business Ready Generative Ai Systems

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Author : Denis Rothman
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-07-25

Building Business Ready Generative Ai Systems written by Denis Rothman 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 2025-07-25 with Computers categories.

Supercharge your business with context-aware AI controllers, adaptive agents, multimodal reasoning functionality, neuroscientific memory systems, and flexible handler mechanisms that integrate the emerging generative AI models. Get with your book: PDF copy, AI Assistant, and Next-Gen Reader free. Key Features Build an adaptive, context-aware AI controller with advanced memory strategies Enhance GenAISys with multi-domain, multimodal reasoning capabilities and Chain of Thought (CoT) Seamlessly integrate cutting-edge OpenAI and DeepSeek models as you see fit Book DescriptionIn today's rapidly evolving AI landscape, standalone LLMs no longer deliver sufficient business value on their own. This guide moves beyond basic chatbots, showing you how to build advanced, agentic ChatGPT-grade systems capable of sophisticated semantic and sentiment analysis, powered by context-aware AI controllers. You'll design AI controller architectures with multi-user memory retention to dynamically adapt your system to diverse user and system inputs. You'll architect a Retrieval-Augmented Generation (RAG) system with Pinecone, designed to combine instruction-driven scenarios. Enhance your system’s intelligence with powerful multimodal capabilities—including image generation, voice interactions, and machine-driven reasoning—leveraging Chain-of-Thought orchestration to address complex, cross-domain automation challenges. Seamlessly integrate generative models like OpenAI’s suite and DeepSeek-R1 without disrupting your existing GenAISys ecosystem. Your GenAISys will apply neuroscience-inspired insights to marketing strategies, predict human mobility, integrate smoothly into human workflows, visualize complex scenarios, and connect to live external data, all wrapped in a polished, investor-ready interface. By the end, you'll have built a GenAISys capable of deploying intelligent agents in your business environment.What you will learn Implement an AI controller with a conversation AI agent and orchestrator at its core Build contextual awareness with short-term, long-term, and cross-session memory Design cross-domain automation with multimodal reasoning, image generation, and voice features Expand a CoT agent by integrating consumer-memory understanding Integrate cutting-edge models of your choice without disrupting your existing GenAISys Connect to real-time external data while blocking security breaches Who this book is for This book is for AI and Machine Learning Engineers seeking to enhance their understanding of Generative AI and its enterprise applications. It will particularly benefit those interested in building AI agents, creating advanced orchestration systems, and leveraging AI for automation in marketing, production, and logistics. Software architects and enterprise developers looking to build scalable AI-driven systems will also find immense value in this guide. No prior superintelligence experience is necessary, but familiarity with AI concepts is recommended.

People Analytics

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Author : Cole Napper
language : en
Publisher: Kogan Page Publishers
Release Date : 2025-08-03

People Analytics written by Cole Napper and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-03 with Computers categories.

How can you use people analytics to drive business performance? Why does a data-driven approach to HR add value and how can you achieve this? What role should AI play in a people analytics function? People Analytics has the answers. It is a practical guide for all mid-career HR professionals which explains how data, analysis and effective use of artificial intelligence can drive business performance and be built into every role. It outlines every aspect of people analytics and explains how to use each element to add value in all parts of the business. There is also detailed discussion of the potential gains that can be made through the use of effective integration of people analytics and generative AI. This book offers guidance on how to build the data infrastructure for HR, the importance of high-quality data and step-by-step advice on how to analyse people data confidently so that you can improve business performance. There is also essential discussion of the ethics of using people analytics and artificial intelligence at work and real-world examples from companies including Toyota, PepsiCo, Lightcast, Booster and FedEx. Written by a leading voice in the people analytics space, this is essential reading for all HR professionals needing to understand the power of people analytics.

Genai On Aws

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Author : Olivier Bergeret
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-19

Genai On Aws written by Olivier Bergeret 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 2025-03-19 with Computers categories.

The definitive guide to leveraging AWS for generative AI GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS. This comprehensive guide starts with the basics, making it accessible to both novices and seasoned professionals. You'll explore the history of artificial intelligence, understand the fundamentals of machine learning, and get acquainted with deep learning concepts. It also demonstrates how to harness AWS's extensive suite of generative AI tools effectively. Through practical examples and detailed explanations, the book empowers you to bring your generative AI projects to life on the AWS platform. In the book, you'll: Gain invaluable insights from practicing cloud and software engineers on developing cutting-edge generative AI applications using AWS Discover beginner-friendly introductions to AI and machine learning, coupled with advanced techniques for leveraging AWS's AI tools Learn from a resource that's ideal for a broad audience, from technical professionals like cloud engineers and software developers to non-technical business leaders looking to innovate with AI Whether you're a cloud engineer, software developer, business leader, or simply an AI enthusiast, Gen AI on AWS is your gateway to mastering generative AI development on AWS. Seize this opportunity for an enduring competitive advantage in the rapidly evolving field of AI. Embark on your journey to building practical, impactful AI applications by grabbing a copy today.