Enterprise Reinvented Ai Cloud And Data At Scale 2025

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Enterprise Reinvented Ai Cloud And Data At Scale 2025

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Author : Author:1- Souvari Ranjan Biswal, Author:2-Dr. Nagaraj S
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :

Enterprise Reinvented Ai Cloud And Data At Scale 2025 written by Author:1- Souvari Ranjan Biswal, Author:2-Dr. Nagaraj S 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 digital disruption, enterprises face a singular imperative: to harness the synergistic power of artificial intelligence, cloud computing, and data at unprecedented scale. “Enterprise Reinvented: AI, Cloud, and Data at Scale” emerges from this landscape as both a strategic manifesto and a practical playbook, guiding leaders, architects, and technologists through the seismic shift from monolithic legacy systems to adaptive, intelligence-driven platforms. Rather than viewing AI, cloud, and data as discrete initiatives, this book treats them as deeply intertwined pillars of business reinvention—each amplifying the others to unlock agility, resilience, and transformative insight. We begin by exploring the tectonic forces reshaping the modern enterprise: the exponential growth of data volumes, the maturation of containerized and serverless cloud architectures, and the democratization of machine learning through open-source frameworks and managed services. In these opening chapters, you will discover how strategic alignment between data governance, platform engineering, and AI-driven innovation sets the stage for truly scalable outcomes—from real-time customer personalization and predictive maintenance to autonomous supply chains and intelligent risk management. Subsequent sections dive into the pragmatic mechanics of building “AI-ready” cloud platforms: designing data fabrics that ensure quality, lineage, and compliance; implementing cloud-native architectures that support burst-to-edge workloads; and establishing ML Ops pipelines for continuous model training, validation, and deployment. Case studies drawn from industries as diverse as manufacturing, financial services, and healthcare illustrate how leading organizations navigate governance, security, and cost-optimization challenges while accelerating time-to-value for analytic and AI use cases. Finally, the book offers a forward-looking perspective on the next frontier: how emerging paradigms—such as distributed AI at the edge, digital twins of business processes, and federated learning ecosystems—will redefine the contours of enterprise scale. We also examine the organizational and cultural shifts required to sustain this transformation: cross-functional “platform teams,” data-literate leadership, and an experimentation mindset that balances rigorous risk management with audacious, data-driven ambition. Authors

Microservices And Automation Excellence Full Stack Development For The Intelligent Enterprise 2025

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Author : AUTHOR:1-VAMSI KRISNA KONDREDDY, AUTHOR:2-DR DEEPENDRA RASTOGI
language : en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date :

Microservices And Automation Excellence Full Stack Development For The Intelligent Enterprise 2025 written by AUTHOR:1-VAMSI KRISNA KONDREDDY, AUTHOR:2-DR DEEPENDRA RASTOGI 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 agility, intelligence, and automation, modern software architectures have undergone a dramatic transformation. Enterprises are increasingly moving beyond monolithic systems to embrace microservices, serverless functions, and event-driven platforms. This paradigm shift is not only architectural but deeply cultural—blending DevOps philosophies, AI-driven insights, and cloud-native technologies to create intelligent, self-optimizing ecosystems. Microservices and Automation Excellence: Full-Stack Development for the Intelligent Enterprise is the result of years of research, practical experience, and emerging trends observed across industries—from finance and healthcare to logistics and retail. This book was written with a singular goal: to provide a structured, practitioner-focused roadmap for engineers, architects, and leaders who are building the next generation of distributed, scalable, and intelligent applications. Across twelve comprehensive chapters, we explore a wide spectrum of topics—ranging from the fundamentals of microservices and CI/CD pipelines to innovative concepts like AIOps, platform engineering, and edge-native microservices. Each chapter is designed to be modular, enriched with real-world examples, industry case studies, tool comparisons, and the latest insights from the field. Whether you’re an architect designing resilient systems, a DevOps engineer automating delivery pipelines, or a product leader aligning technology with business goals, this book aims to serve as both a foundational guide and a forward-looking companion. We hope this work not only informs your decisions but also inspires new thinking around how to build and operate software in a world increasingly powered by intelligence, autonomy, and scale. In addition, the book addresses the ethical challenges and privacy concerns associated with voice recognition technologies. While the potential for these tools is vast, they raise important questions about data security, user consent, and the potential for misuse. As we look to the future, we must balance innovation with responsibility to ensure that these technologies serve the broader interests of society. The purpose of this book is not only to present the current state of the art in generative AI for voice recognition but also to offer a forward-looking perspective on the trends and research directions that will shape the next generation of voice-enabled applications. With emerging technologies such as neural text-to-speech (TTS), multilingual speech models, and real-time voice translation, the possibilities seem limitless, and the need for understanding these advanced AI applications is more pressing than ever. Whether you are a researcher seeking a deep understanding of generative AI in voice recognition or a developer looking for practical knowledge to build the next big voice-enabled application, this book aims to provide the knowledge and insights needed to navigate this exciting and transformative field. The world of voice recognition is evolving at an astonishing pace, and with the help of generative AI, we are only beginning to scratch the surface of its potential. Join us on this journey through the realm of voice recognition and generative AI, where we will explore the technologies, applications, and innovations that are defining the future of human-computer interaction. Authors Vamsi Krisna Kondreddy Dr Deependra Rastogi

Agentic Artificial Intelligence

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Author : Pascal Bornet
language : en
Publisher: Irreplaceable Publishing
Release Date : 2025-03-17

Agentic Artificial Intelligence written by Pascal Bornet and has been published by Irreplaceable Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Computers categories.

A practical, non-technical guide for business leaders, entrepreneurs, and curious minds "Agents are (…) bringing about the biggest revolution in computing since we went from typing commands to tapping on icons." — Bill Gates "AI agents will become the primary way we interact with computers in the future.” — Satya Nadella "The age of agentic AI is here"— Jensen Huang In a world where ChatGPT took us by storm, a far more powerful revolution is unfolding: AI Agents. Like Jarvis in Iron Man or Samantha in Her, these intelligent systems can execute actions, learn from experience, and orchestrate digital interactions with minimal human supervision. They promise to redefine business and society. However, behind the excitement lies a crucial reality: a significant gap between promise and reality. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures. Through illuminating case studies and hands-on experiments, the authors reveal: - A step-by-step method for identifying high-value agentic opportunities and building impactful agents in your business, work, and personal life - The secrets behind today's most successful agentic transformations at scale: cutting costs by over 25% while boosting customer satisfaction by over 40% - Approaches to seize the new opportunities of the Agent Economy—new business models, Agentic-driven startups, rapid scaling, and game-changing revenue opportunities. - Hands-on guidance to navigate common pitfalls such as workflow integration, error handling, data quality, agent control, and user adoption - The new mindset and skills required to lead effectively in a world where humans and AI agents need to work seamlessly together The profound impact of agentic AI on society, employment, education, and our personal lives AI agents create what the authors call "compounding intelligence advantages"—the more they're used, the smarter they become, creating an accelerating gap between early adopters and laggards. Hence, those who understand and leverage AI agents today will define the next business era. The question isn’t whether AI agents will transform your industry—it’s how you will lead that change. Every revolution demands foresight and responsibility. This book challenges you to not just adopt agentic AI, but to shape it with purpose and integrity.

Data Engineering For Data Driven Marketing

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Author : Balamurugan Baluswamy
language : en
Publisher: Emerald Group Publishing
Release Date : 2025-03-10

Data Engineering For Data Driven Marketing written by Balamurugan Baluswamy and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-10 with Business & Economics categories.

Offering a thorough exploration of the symbiotic relationship between data engineering and modern marketing strategies, Data Engineering for Data-Driven Marketing uses a strategic lens to delve into methodologies of collecting, transforming, and storing diverse data sources.

The Three Secrets To Scaling Your Company

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Author : Adam J. Graham
language : en
Publisher: Exit Mode Publishing
Release Date : 2025-07-17

The Three Secrets To Scaling Your Company written by Adam J. Graham and has been published by Exit Mode Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-17 with Business & Economics categories.

What does it really take to scale a company — and stay in control as you grow? In this straight-talking guide – the second in his ’Three Secrets’ trilogy – serial founder and scale-up CEO Adam J. Graham cuts through the noise to reveal what separates sustainable growth from the kind that burns out teams and founders alike. Whether you're approaching product–market fit or stuck in a cycle of firefighting, this book lays out the three essential secrets that help businesses scale with clarity, not just speed. Drawing on hard-won lessons from heading up listed companies, building high-growth ventures and turning around broken operations, Adam shares the truths many founders learn too late. With expert insights from seasoned entrepreneurs, real-life examples and practical tools, this guide equips you to make smarter decisions as your company grows. Inside, you’ll learn: - Why financial discipline is the bedrock of sustainable scale - How to systemise and digitise early to unlock operational leverage - What product–market fit really looks like (and why M&A tests it fast) Whether you’re preparing for your next growth phase or reflecting on the challenges of the last one, The Three Secrets to Scaling Your Company will help you build a business with real strength under the surface. Because lasting success isn’t about growing faster – it’s about growing smarter.

Building Digital Technological Capabilities

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Author : Paulo N. Figueiredo
language : en
Publisher: Edward Elgar Publishing
Release Date : 2025-07-15

Building Digital Technological Capabilities written by Paulo N. Figueiredo and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-15 with Business & Economics categories.

Drawing on case studies from across Africa, Asia and Latin America this book addresses building technological capability as a catalyst for digital and economic development. Expert authors illustrate how individuals, organizations and countries in the Global South can advance their technological proficiencies to engage in effective digital transformation processes and establish a sustainable digital economy.

Ai Conversations Made Simple

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Author : Keith Baldwin
language : en
Publisher: eBookIt.com
Release Date : 2025-06-09

Ai Conversations Made Simple written by Keith Baldwin and has been published by eBookIt.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Computers categories.

AI Conversations Made Simple is a practical field guide designed to empower professionals–not just data scientists–with the confidence and clarity to engage in intelligent, productive conversations about artificial intelligence. This isn't a dry glossary or another technical tome destined for a shelf. Instead, this book gives business leaders, managers, analysts, and curious professionals a fast, accessible reference they can use anywhere–from strategy meetings to casual conversations. With 70 of the most essential AI terms explained in both plain and technical language, readers will learn not only what the terms mean, but why they matter for business, personal productivity, and daily decision-making. Each term includes: Simple and technical explanations Business relevance and real-world examples Personal use cases beyond the workplace Benefits, challenges, and common misconceptions Key takeaways Smart questions to ask in meetings or to tools like ChatGPT An interactive prompt for hands-on experimentation Beyond the terms, the book includes specialized chapters with curated questions for executives, managers, analysts, developers, and project teams–so that every stakeholder can participate more meaningfully in AI conversations, planning, and implementation. Whether you're driving innovation, managing risk, or simply trying to understand the role AI will play in your life, this book gives you what you need: not just definitions, but questions–the single most valuable skill in the age of AI. This is the ebook you'll want to keep on your phone and laptop. It's not about being the smartest person in the room. It's about being the one who asks the smartest questions.

Strategic Workforce Reskilling In Service Marketing

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Author : J Nair, Arjun
language : en
Publisher: IGI Global
Release Date : 2025-04-17

Strategic Workforce Reskilling In Service Marketing written by J Nair, Arjun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Business & Economics categories.

In the contemporary landscape, there is a critical nexus of service marketing innovation, workforce upskilling, and ethical business paradigms. The domain where marketing innovation intersects sustainability and corporate ethics is underexplored. Enterprises can adopt avant-garde strategies, such as voice search technology, to enhance service provision, while advancing sustainability and corporate social responsibility (CSR). However, voice search technology remains an under-researched area, particularly its ramifications for workforce reskilling and its capacity to transform service marketing dynamics. Strategic Workforce Reskilling in Service Marketing paves the way for novel academic inquiry and theoretical elaboration in an era of rapidly evolving technological paradigms. Through a synthesis of theoretical frameworks and empirical case studies, it offers profound insights into the confluence of technology, reskilling, and responsible corporate practices. Covering topics such as employee retention, gamified training, and environmental awareness, this book is an excellent resource for business leaders, marketing practitioners, human resources professionals, policymakers, researchers, academicians, and more.

The Long Fight A Strategic And Practical Guide For Digital Health Entrepreneurs

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Author : David Qu
language : en
Publisher: Trusted Innovation Partners
Release Date : 2025-07-15

The Long Fight A Strategic And Practical Guide For Digital Health Entrepreneurs written by David Qu and has been published by Trusted Innovation Partners this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-15 with Biography & Autobiography categories.

The U.S. healthcare system is massive, complex, and ripe for transformation. For digital health entrepreneurs, founders, CEOs, and innovators, the opportunity is enormous. But so are the challenges: fragmented systems, entrenched stakeholders, uncertain regulation, and long sales cycles. Success demands more than a great idea. It requires deep industry knowledge, strategic clarity, resilient leadership, and relentless execution. In The Long Fight, veteran digital health executive David Qu summarizes 30 years of hard-won experience into a practical, inspiring guide. Drawing from his time leading global SaaS businesses, advising startups, and coaching founders, David offers a rare combination of strategic frameworks, market insights, and real-world lessons tailored to the realities of digital health. Whether you're launching a new venture, scaling a platform, raising capital, or exploring go-to-market models, this book will equip you with the tools to navigate complexity and lead with purpose. Inside, you'll learn: - How the U.S. healthcare ecosystem really works—and what every founder must understand - What investors look for at each stage of funding (and what turns them off) - How to define and test product-market fit in a crowded, regulated space - The keys to selling into health systems, payers and employers with different GTM channels - Why strategic partnerships succeed—or fail—and how to build ones that scale - How to lead through ambiguity and build a culture that endures Backed by data, informed by experience, and designed for action, The Long Fight is a must-read for anyone building the future of health. If you're ready to solve meaningful problems—and do it with insight and intention—this book is your essential companion.

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