Enterprise Reinvented Ai Cloud And Data At Scale 2025
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Enterprise Reinvented: AI, Cloud, and Data at Scale 2025
Author: Author:1- Souvari Ranjan Biswal, Author:2-Dr. Nagaraj S
language: en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date:
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
Author: AUTHOR:1-VAMSI KRISNA KONDREDDY, AUTHOR:2-DR DEEPENDRA RASTOGI
language: en
Publisher: YASHITA PRAKASHAN PRIVATE LIMITED
Release Date:
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
Author: Pascal Bornet
language: en
Publisher: Irreplaceable Publishing
Release Date: 2025-03-17
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.