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.
Data Science On Aws
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Author : Chris Fregly
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2021-04-07
Data Science On Aws written by Chris Fregly and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-07 with Computers categories.
With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level up your skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more
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.
Competing On Analytics
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Author : Thomas H. Davenport
language : en
Publisher: Harvard Business Press
Release Date : 2007-03-06
Competing On Analytics written by Thomas H. Davenport and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-06 with Business & Economics categories.
You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics.
Big Data At Work
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Author : Thomas Davenport
language : en
Publisher: Harvard Business Review Press
Release Date : 2014-02-04
Big Data At Work written by Thomas Davenport and has been published by Harvard Business Review Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-04 with Business & Economics categories.
Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.