Revolutionizing Enterprise Systems From Legacy To Cloud A Journey Through Automation Ai And Scalable Solutions

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Revolutionizing Enterprise Systems From Legacy To Cloud A Journey Through Automation Ai And Scalable Solutions

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Author : Sandeep Chinamanagonda
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2024-05-15

Revolutionizing Enterprise Systems From Legacy To Cloud A Journey Through Automation Ai And Scalable Solutions written by Sandeep Chinamanagonda and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Computers categories.

In an era where digital transformation defines business success, Revolutionizing Enterprise Systems: From Legacy to Cloud offers a comprehensive roadmap for enterprises seeking to modernize their IT infrastructure. This book delves into the challenges of legacy systems, the power of cloud-native architectures, and the game-changing impact of automation and AI-driven enterprise solutions. Explore cutting-edge topics such as DevSecOps for secure IT operations, AI-powered decision-making, and real-time data streaming for enhanced business intelligence. Uncover strategies for overcoming resistance to change, optimizing cloud costs, and leveraging advanced technologies like quantum computing for future-proof enterprise systems. With expert insights from seasoned technology strategist Sandeep Chinamanagonda, this book provides IT leaders, CIOs, and digital transformation professionals with practical strategies to navigate enterprise cloud migration, build resilient architectures, and harness the full potential of AI, automation, and scalable cloud solutions. Whether you’re modernizing legacy systems or preparing for the next wave of enterprise IT evolution, Revolutionizing Enterprise Systems is your essential guide to thriving in a rapidly changing digital landscape.

Aws For Solutions Architects

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Author : Saurabh Shrivastava
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-07-31

Aws For Solutions Architects written by Saurabh Shrivastava 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 2025-07-31 with Computers categories.

Master AWS architecture and design secure, scalable, production-ready cloud systems. This practical guide features real-world patterns, GenAI strategies, cost optimization techniques, and certification-aligned best practices. Key Features Stay current with hands-on coverage of MLOps, AIOps, and the latest AWS service updates Implement migration strategies with real-world examples and enterprise case studies Advance your AWS career with certification-aligned insights and exam-ready strategies Book DescriptionAWS for Solutions Architects, Third Edition is your essential guide to thriving in the fast-evolving AWS ecosystem. As a solutions architect, staying on top of the latest technologies and managing complex cloud migrations can be challenging, and this book addresses those pain points head-on. Seasoned AWS experts Saurabh Shrivastava, Neelanjali Srivastav, and Dhiraj Thakur bring deep industry insight and hands-on experience to every chapter. This third edition introduces cutting-edge topics, including Generative AI and MLOps, to keep pace with the evolving cloud landscape and guide you in building AI-driven applications. The book also reflects updates from the AWS Well-Architected Framework and aligns with the latest AWS certifications, making it a future-ready guide for cloud professionals. The chapters help you stay ahead of the competition with in-depth coverage of the latest AWS certifications, including AI Practitioner Foundation and Data Engineer Associate, helping you position yourself as a leader in cloud innovation. By the end of this book, you'll transform into a solutions architecture expert, equipped with the strategies, tools, and certifications needed to handle any cloud challenge.What you will learn Gain expertise in GenAI, MLOps, AIOps, and mobile edge computing Optimize performance and handle errors in cloud-native applications Prepare for new AWS certifications, including those focused on AI and data engineering Apply best practices for security, compliance, and AWS Learning Badges Explore the updated Well-Architected Framework with six pillars Get in-depth knowledge of new storage options and security group configurations Who this book is for This book is for application and enterprise architects, developers, operations engineers, and certification aspirants looking to master AWS architectural patterns, best practices, and advanced techniques for building scalable, secure, highly available, fault-tolerant, and cost-effective cloud solutions. Prior coding knowledge isn’t required, but experience in software architecture design will be helpful.

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

Obsolete To Optimal How Ai Can Transform Aging U S Enterprise Systems In Insurance And Retail 2025

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Author : AUTHOR:1 - Pratyosh Desaraju, AUTHOR:2 - Dr Rohit Kumar Sachan
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :

Obsolete To Optimal How Ai Can Transform Aging U S Enterprise Systems In Insurance And Retail 2025 written by AUTHOR:1 - Pratyosh Desaraju, AUTHOR:2 - Dr Rohit Kumar Sachan 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 change and increasing customer expectations, many of the enterprise systems that underpin the U.S. insurance and retail sectors find themselves at a crossroads. Built decades ago, to handle today’s challenges, these legacy platforms struggle under the weight of ever-growing data volumes, complex regulatory demands, and the onslaught of digitally savvy consumers. Yet, within these very constraints lies extraordinary opportunity: the chance to transform the obsolete into the optimal by harnessing the power of artificial intelligence. ”Obsolete to Optimal” was born from conversations with technology leaders, data scientists, and operations executives who shared a common refrain: “We know AI can help—but where do we start, and how do we avoid the pitfalls?” This book seeks to answer those questions by weaving together strategic insight, practical guidance, and real-world examples. Our goal is twofold: first, to demystify the process of embedding AI within aging infrastructures; and second, to show how this integration not only solves immediate operational challenges but also lays the groundwork for sustainable, future-proof growth. Throughout these pages, you will find a progression that mirrors the journey every organization must undertake. We begin by establishing why data modernization is not merely an IT upgrade but a business imperative. From there, we delve into the human element—empowering employees to work alongside AI, embracing new roles, and cultivating a culture of continuous learning. Sector-specific chapters then illuminate how AI can revolutionize core functions, from underwriting and claiming processing in insurance to inventory management and personalized marketing in retail. No transformation is without its challenges. We confront head-on the technical hurdles of integrating AI with brittle legacy systems, the organizational resistance that accompanies any major change, and the ethical considerati-ons that arise when machines make decisions that affect real people. By offering frameworks for governance, bias mitigation, and transparent decision-making, we aim to equip leaders not only to deploy AI effectively but to do so responsibly. Finally, as we look toward 2030, we paint a vision of industries that have shed their outdated pasts and embraced an AI-powered future—one characterized by agility, resilience, and customer-centric innovation. Whether you are a C-suite executive charting a digital strategy, a technology professional tasked with implementation, or an academic seeking to understand the practical contours of AI adoption, this book is your guide. It is my hope that, by the final chapter, you will see legacy systems not as obstacles but as ripe opportunities—platforms ready to be upgraded, enhanced, and reinvigorated by intelligent automation. May “Obsolete to Optimal” inspire you to embark on that transformation journey, and may you find the insights here both actionable and enduring. Authors Pratyosh Desaraju Dr Rohit Kumar Sachan

Architecting The Intelligent Cloud A Practitioner S Guide To Migration Integration And Automation 2025

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Author : Author :1-Divyesh Pradeep Shah, Author :2-Dr. Pramod Vishwakarma
language : en
Publisher: RAVEENA PRAKASHAN OPC PVT LTD
Release Date :

Architecting The Intelligent Cloud A Practitioner S Guide To Migration Integration And Automation 2025 written by Author :1-Divyesh Pradeep Shah, Author :2-Dr. Pramod Vishwakarma 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 digital age, the cloud has become the cornerstone of innovation, scalability, and operational efficiency for businesses across industries. As organizations strive to adapt to an increasingly competitive and fast-paced environment, the need to harness the power of the cloud has never been more pressing. However, migrating to the cloud, integrating cloud-based solutions, and automating processes require careful planning, expertise, and strategic decision-making. “Architecting the Intelligent Cloud: A Practitioner’s Guide to Migration, Integration, and Automation” is designed to equip IT professionals, architects, and decision-makers with the knowledge and tools needed to successfully navigate the complex cloud journey. This book provides a comprehensive, hands-on approach to building, managing, and optimizing cloud infrastructures that support intelligent, data-driven applications. The increasing adoption of cloud computing, paired with the rise of artificial intelligence (AI), machine learning (ML), and automation, has fundamentally transformed how businesses operate and interact with their customers. The intelligent cloud is more than just a space for storing data—it is a platform that drives innovation, improves business agility, and enables organizations to build smart applications that respond to real-time data and user needs. However, the path to realizing the full potential of the cloud can be daunting. There are challenges in migration, integration, and automation that organizations must overcome to build a resilient and intelligent cloud infrastructure. In this book, we explore the critical stages of cloud migration, from selecting the right cloud model to assessing legacy systems and choosing the appropriate cloud services for specific business needs. We then dive into the intricacies of cloud integration, discussing how to seamlessly integrate on-premises systems, third-party applications, and cloud-native services to create a unified, efficient environment. Finally, we explore the automation of cloud operations, a key area for reducing manual intervention, optimizing workflows, and enhancing scalability in cloud-based systems. “Architecting the Intelligent Cloud” is aimed at practitioners who want a practical, actionable guide to making intelligent decisions about cloud technologies. Whether you are an architect overseeing large-scale cloud migration or a developer tasked with implementing cloud-native applications, this book provides valuable insights, best practices, and real-world examples to ensure that cloud strategies are executed successfully. The goal is to bridge the gap between theory and practice by focusing on the tools, techniques, and frameworks that can be applied directly to your cloud projects. Each chapter delves into the challenges and opportunities associated with building cloud infrastructures, providing you with practical advice on optimizing performance, enhancing security, and ensuring that cloud systems remain flexible and adaptable as your business evolves. The intelligent cloud is about much more than just technology; it is about transforming how businesses operate, innovate, and serve their customers. Through migration, integration, and automation, organizations can unlock the true potential of the cloud, creating agile, intelligent infrastructures that drive sustainable growth. This book is for the practitioner who wants to understand the “how” and “why” of cloud architecture in the context of modern business, and who is ready to embrace the future of IT with confidence and clarity. Authors

Optimizing Enterprise Security And Scalability Advanced Techniques In Ai Driven Automation And Cloud Architecture

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Author : SAURABH KANSAL DR ANSHITA SHUKLA
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-18

Optimizing Enterprise Security And Scalability Advanced Techniques In Ai Driven Automation And Cloud Architecture written by SAURABH KANSAL DR ANSHITA SHUKLA and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-18 with Computers categories.

In an era where digital transformation is reshaping industries, enterprise security and scalability are no longer optional—they are imperative. As businesses increasingly rely on cloud technologies and automation to stay competitive, the challenge of safeguarding vast amounts of sensitive data and ensuring the smooth scaling of operations has never been more critical. "Optimizing Enterprise Security and Scalability: Advanced Techniques in AI-Driven Automation and Cloud Architecture" aims to equip IT professionals, business leaders, and technology enthusiasts with the knowledge and tools to navigate this complex landscape. This book delves into the cutting-edge strategies that leverage the power of artificial intelligence (AI), cloud architecture, and automation to enhance the security and scalability of modern enterprises. Drawing from real-world case studies, expert insights, and practical methodologies, we explore how AI-driven solutions can proactively detect and mitigate security threats, streamline operations, and enable businesses to scale rapidly while maintaining resilience. By blending these advanced technologies with cloud infrastructure, organizations can not only secure their data and systems but also unlock the full potential of their digital environments. The journey through this book will take you from foundational concepts to advanced techniques, highlighting the importance of continuous adaptation in an ever-evolving threat landscape. Whether you are tasked with managing enterprise infrastructure or designing robust, scalable systems, this book will serve as a comprehensive guide to creating a secure, scalable, and future-proof enterprise. With a focus on innovation, practicality, and real-world application, this book will empower you to optimize your organization’s security posture and scalability. As we step into the future of enterprise IT, one thing is certain: those who embrace the combination of AI, automation, and cloud technologies will lead the way in driving business success and resilience. Welcome to the world of AI-driven enterprise optimization—where security, scalability, and innovation meet. Authors

Architecting Intelligent Cloud Systems Ai Mlops And Scalable Infrastructure For The Future

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Author : PHANISH LAKKARASU
language : en
Publisher: Global Pen Press UK PUBLICATION
Release Date :

Architecting Intelligent Cloud Systems Ai Mlops And Scalable Infrastructure For The Future written by PHANISH LAKKARASU and has been published by Global Pen Press UK PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Architecture categories.

Cloud Native Intelligence And Scalable Ai For Supply Chain Food Services And Financial Infrastructure

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Author : Avinash Pamisetty
language : en
Publisher: AQUA PUBLICATIONS
Release Date :

Cloud Native Intelligence And Scalable Ai For Supply Chain Food Services And Financial Infrastructure written by Avinash Pamisetty and has been published by AQUA PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

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Migrating To Azure

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Author : Josh Garverick
language : en
Publisher: Apress
Release Date : 2018-10-23

Migrating To Azure written by Josh Garverick and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-23 with Computers categories.

Design an enterprise solution from scratch that allows the migration of a legacy application. Begin with the planning and design phase and be guided through all the stages of selecting the architecture framework that fits your enterprise. Join Microsoft MVP Josh Garverick as he addresses all major areas of design and implementation—application, infrastructure, data, security, and deployment—while leveraging the power and tools of Visual Studio Team Services (VSTS) to bring DevOps to the forefront. With an emphasis on principles and best practices of enterprise design, you will discover how to recognize existing patterns within the legacy platform and to identify potential risks, bottlenecks, and candidates for automation. What You’ll Learn Accurately and completely capture baseline information about a legacy system Leverage enterprise patterns for constructing next-generation platforms in the cloud Design, plan,and implement deployment pipelines to enable continuous delivery Identify and implement cloud-based platform components to reduce total cost of ownership Understand testing and validation: iterative component authoring, monitoring, deployment, and performance Price and perform capacity planning for cloud-based infrastructure and workloads Who This Book Is For Enterprise architects and IT professionals who are required to keep legacy applications relevant in today’s cloud-first world

Open Source Odyssey

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Author : Muthukrishnan Muthusubramanian
language : en
Publisher:
Release Date : 2023-10-10

Open Source Odyssey written by Muthukrishnan Muthusubramanian and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-10 with Computers categories.

Embark on a Journey Through the Fusion of AI and Open Source Data Engineering Imagine a world where the boundaries between data engineering and artificial intelligence are seamlessly blended. "Open Source Odyssey: Pioneering Data Engineering with AI Automation" invites you on an enlightening journey, propelling you into the heart of modern data processing and optimization. This indispensable guidebook is the key to understanding and implementing the marriage of open-source innovation and the cutting-edge capabilities of generative AI. Embark on an Intellectual Adventure: Set sail with a thorough exploration of open-source data engineering fundamentals, making every concept accessible and engaging. Uncover the transformative impact of Generative AI, allowing you to peek into the future of data operations through dynamic and insightful case studies. Master Innovative Tools and Techniques: Delve into an extensive array of open-source tools and platforms such as Apache Hadoop and Spark. Our curated content will enhance your skill set, equipping you with the knowledge to automate and streamline data operations, ensuring increased efficiency and unparalleled accuracy. Design and Deploy AI-Enhanced Solutions: Learn how to build scalable data pipelines using a blend of open-source technology and AI. With concrete examples and real-world scenarios, you'll be adept at not only creating but also maintaining cutting-edge data systems. Cultivate Analytical Brilliance: Let AI-driven analytics become your second language. Process vast datasets with machine precision and discover how AI-enhanced real-time data processing can revolutionize the way your organization interprets information. From ensuring data quality and governance to navigating the complexities of cloud-based solutions; from securing open-source systems to preparing for an AI-powered future - this book is a lighthouse in the often murky waters of data engineering. Whether you're an aspiring data engineer, a seasoned professional seeking to update your arsenal, or a team leader driving data innovation, "Open Source Odyssey" is tailored to turn your data aspirations into tangible success. Harness the insight from each carefully structured chapter and append the power of AI and open-source to your professional repertoire. Rise to the occasion and redefine data engineering in your domain. Your odyssey awaits.