Vaidya Aniruddh (27 results)

Condition: New. Vaidya, Aniruddh (illustrator). In.

Condition: New. Vaidya, Aniruddh (illustrator).

Condition: New. Vaidya, Aniruddh (illustrator). In.

Paperback. Condition: New. Vaidya, Aniruddh (illustrator).

Condition: As New. Vaidya, Aniruddh (illustrator). Unread book in perfect condition.

Condition: New. Vaidya, Aniruddh (illustrator).

Paperback. Condition: new. Vaidya, Aniruddh (illustrator). Paperback. Welcome to "Retail Revolution - Transforming Shopping with Data," a comprehensive exploration of how machine learning and data-driven strategies reshape the retail landscape. This book is designed for retail professionals, business strategists, and enthusiasts looking to understand the transformative power of artificial intelligence in the retail sector. It aims to bridge the gap between technical concepts and practical, actionable applications by providing insights, case studies, and guidance on implementing machine learning in various aspects of retail management.The motivation for writing this book stems from a clear trend in the retail industry toward increasing digitalization and automation. As consumer behaviors shift and technological advancements continue to accelerate, traditional retail models are being challenged. Machine learning offers unprecedented opportunities to enhance customer experiences, optimize operations, and secure and sustain competitive advantages. Yet, despite its potential, the practical application of machine learning in retail can seem daunting to those who have a technical background.This book demystifies the process, breaking down complex algorithms into understandable segments and showing how they can be applied to real-world retail challenges. From personalizing customer interactions to streamlining supply chain logistics, each unit highlights specific areas where machine learning can significantly impact.The structure of the book is designed to facilitate a gradual build-up of knowledge: Unit 1 dives into enhancing the customer experience through personalized marketing, recommendation systems, and behavior analysis. It explores how AI can transform every touchpoint of the customer journey.Unit 2 focuses on operational efficiency, covering inventory management, pricing strategies, and store layout optimization. These chapters are crucial for understanding how AI can reduce costs and improve margins in a competitive retail environment.Throughout the book, you'll find examples and case studies from leading retailers successfully integrating AI into their operations. These stories are intended to inspire and provide a clear sense of how theoretical concepts are translated into practice. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condition: new. Vaidya, Aniruddh (illustrator). Paperback. In the age of rapid technological advancement, IT operations stand as the foundation upon which modern businesses are built. Whether ensuring seamless service delivery, maintaining system uptime, or tackling the complexities of incident management, IT operations have become central to every organization's success. Yet, as systems grow more intricate and data volumes surge, the traditional approaches to managing IT infrastructures are reaching their limits.This book, "IT Operations Excellence: Data-Driven Tools and Techniques for Transformative Results", is born out of a simple yet profound realization: the future of IT operations lies in leveraging the transformative power of data and machine learning. The integration of these tools doesn't just offer a marginal improvement-it represents a paradigm shift in how organizations approach efficiency, resilience, and problem management.In crafting this book, we aimed to address a critical gap in the knowledge landscape. While much has been written about the technical intricacies of machine learning and the operational nuances of IT management, few resources bring these domains together in a practical, actionable way. This book seeks to bridge that gap by guiding readers through the application of machine learning algorithms to real-world IT challenges.Each chapter of this book delves into a specific problem commonly encountered in IT operations-from predicting system downtimes to Security Threat Detection and Proactive Problem Management. Using actual data scenarios, the book demonstrates how machine learning can transform these challenges into opportunities for proactive and efficient management. Readers will not only learn the theory behind algorithms but will also gain hands-on experience in applying them to practical problems, ensuring that knowledge is both meaningful and actionable.This book is intended for IT professionals, data enthusiasts, and business leaders alike-anyone who seeks to harness the potential of AI and machine learning in IT operations. It is written to be accessible to those with a foundational understanding of IT systems and data analysis, yet it also offers deeper insights that will challenge and inspire seasoned practitioners.As you progress through the chapters, you'll encounter real-world data, intuitive explanations of machine learning techniques, and step-by-step guides to solving IT-specific problems. By the end, you'll not only have a firm grasp of the technical aspects but also a clear vision of how to implement data-driven strategies in your organization.The journey to creating this book has been as rewarding as the destination. It has been shaped by insights gained from countless conversations with IT leaders, data scientists, and operations teams who face these challenges daily. Their stories, struggles, and triumphs have informed the examples, case studies, and solutions presented within these pages.This book is more than a guide; it is a call to action. It challenges organizations to move beyond traditional IT management and embrace a future where systems are smarter, decisions are data-driven, and operations are more resilient. With machine learning, we have the tools to not only meet today's challenges but also anticipate and prepare for the demands of tomorrow.Thank you for embarking on this journey with us. We sincerely hope this book inspires you to innovate, experiment, and unlock the transformative potential of AI-powered IT operations. SHRUTI TYAGISWAPNIL SAURAV Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: As New. Vaidya, Aniruddh (illustrator). Unread book in perfect condition.

Condition: New. Vaidya, Aniruddh (illustrator).

Condition: New. Vaidya, Aniruddh (illustrator).

Condition: As New. Vaidya, Aniruddh (illustrator). Unread book in perfect condition.

Condition: New. Vaidya, Aniruddh (illustrator).

Taschenbuch. Condition: Neu. Vaidya, Aniruddh (illustrator). Neuware.

Condition: New. Vaidya, Aniruddh (illustrator).

Condition: As New. Vaidya, Aniruddh (illustrator). Unread book in perfect condition.

Taschenbuch. Condition: Neu. Vaidya, Aniruddh (illustrator). Neuware - In the age of rapid technological advancement, IT operations stand as the foundation upon which modern businesses are built. Whether ensuring seamless service delivery, maintaining system uptime, or tackling the complexities of incident management, IT operations have become central to every organization's success. Yet, as systems grow more intricate and data volumes surge, the traditional approaches to managing IT infrastructures are reaching their limits.This book, 'IT Operations Excellence: Data-Driven Tools and Techniques for Transformative Results', is born out of a simple yet profound realization: the future of IT operations lies in leveraging the transformative power of data and machine learning. The integration of these tools doesn't just offer a marginal improvement-it represents a paradigm shift in how organizations approach efficiency, resilience, and problem management.In crafting this book, we aimed to address a critical gap in the knowledge landscape. While much has been written about the technical intricacies of machine learning and the operational nuances of IT management, few resources bring these domains together in a practical, actionable way. This book seeks to bridge that gap by guiding readers through the application of machine learning algorithms to real-world IT challenges.Each chapter of this book delves into a specific problem commonly encountered in IT operations-from predicting system downtimes to Security Threat Detection and Proactive Problem Management. Using actual data scenarios, the book demonstrates how machine learning can transform these challenges into opportunities for proactive and efficient management. Readers will not only learn the theory behind algorithms but will also gain hands-on experience in applying them to practical problems, ensuring that knowledge is both meaningful and actionable.This book is intended for IT professionals, data enthusiasts, and business leaders alike-anyone who seeks to harness the potential of AI and machine learning in IT operations. It is written to be accessible to those with a foundational understanding of IT systems and data analysis, yet it also offers deeper insights that will challenge and inspire seasoned practitioners.As you progress through the chapters, you'll encounter real-world data, intuitive explanations of machine learning techniques, and step-by-step guides to solving IT-specific problems. By the end, you'll not only have a firm grasp of the technical aspects but also a clear vision of how to implement data-driven strategies in your organization.The journey to creating this book has been as rewarding as the destination. It has been shaped by insights gained from countless conversations with IT leaders, data scientists, and operations teams who face these challenges daily. Their stories, struggles, and triumphs have informed the examples, case studies, and solutions presented within these pages.This book is more than a guide; it is a call to action. It challenges organizations to move beyond traditional IT management and embrace a future where systems are smarter, decisions are data-driven, and operations are more resilient. With machine learning, we have the tools to not only meet today's challenges but also anticipate and prepare for the demands of tomorrow.>SHRUTI TYAGISWAPNIL SAURAV.

Kartoniert / Broschiert. Condition: New. Vaidya, Aniruddh (illustrator).

Taschenbuch. Condition: Neu. Vaidya, Aniruddh (illustrator). Neuware.

Paperback. Condition: New. Vaidya, Aniruddh (illustrator).

Condition: New. Vaidya, Aniruddh (illustrator).

Paperback. Condition: New. Vaidya, Aniruddh (illustrator). New. book.

Paperback. Condition: new. Vaidya, Aniruddh (illustrator). Paperback. In the age of rapid technological advancement, IT operations stand as the foundation upon which modern businesses are built. Whether ensuring seamless service delivery, maintaining system uptime, or tackling the complexities of incident management, IT operations have become central to every organization's success. Yet, as systems grow more intricate and data volumes surge, the traditional approaches to managing IT infrastructures are reaching their limits.This book, "IT Operations Excellence: Data-Driven Tools and Techniques for Transformative Results", is born out of a simple yet profound realization: the future of IT operations lies in leveraging the transformative power of data and machine learning. The integration of these tools doesn't just offer a marginal improvement-it represents a paradigm shift in how organizations approach efficiency, resilience, and problem management.In crafting this book, we aimed to address a critical gap in the knowledge landscape. While much has been written about the technical intricacies of machine learning and the operational nuances of IT management, few resources bring these domains together in a practical, actionable way. This book seeks to bridge that gap by guiding readers through the application of machine learning algorithms to real-world IT challenges.Each chapter of this book delves into a specific problem commonly encountered in IT operations-from predicting system downtimes to Security Threat Detection and Proactive Problem Management. Using actual data scenarios, the book demonstrates how machine learning can transform these challenges into opportunities for proactive and efficient management. Readers will not only learn the theory behind algorithms but will also gain hands-on experience in applying them to practical problems, ensuring that knowledge is both meaningful and actionable.This book is intended for IT professionals, data enthusiasts, and business leaders alike-anyone who seeks to harness the potential of AI and machine learning in IT operations. It is written to be accessible to those with a foundational understanding of IT systems and data analysis, yet it also offers deeper insights that will challenge and inspire seasoned practitioners.As you progress through the chapters, you'll encounter real-world data, intuitive explanations of machine learning techniques, and step-by-step guides to solving IT-specific problems. By the end, you'll not only have a firm grasp of the technical aspects but also a clear vision of how to implement data-driven strategies in your organization.The journey to creating this book has been as rewarding as the destination. It has been shaped by insights gained from countless conversations with IT leaders, data scientists, and operations teams who face these challenges daily. Their stories, struggles, and triumphs have informed the examples, case studies, and solutions presented within these pages.This book is more than a guide; it is a call to action. It challenges organizations to move beyond traditional IT management and embrace a future where systems are smarter, decisions are data-driven, and operations are more resilient. With machine learning, we have the tools to not only meet today's challenges but also anticipate and prepare for the demands of tomorrow.Thank you for embarking on this journey with us. We sincerely hope this book inspires you to innovate, experiment, and unlock the transformative potential of AI-powered IT operations. SHRUTI TYAGISWAPNIL SAURAV Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condition: new. Vaidya, Aniruddh (illustrator). Paperback. Welcome to "Retail Revolution - Transforming Shopping with Data," a comprehensive exploration of how machine learning and data-driven strategies reshape the retail landscape. This book is designed for retail professionals, business strategists, and enthusiasts looking to understand the transformative power of artificial intelligence in the retail sector. It aims to bridge the gap between technical concepts and practical, actionable applications by providing insights, case studies, and guidance on implementing machine learning in various aspects of retail management.The motivation for writing this book stems from a clear trend in the retail industry toward increasing digitalization and automation. As consumer behaviors shift and technological advancements continue to accelerate, traditional retail models are being challenged. Machine learning offers unprecedented opportunities to enhance customer experiences, optimize operations, and secure and sustain competitive advantages. Yet, despite its potential, the practical application of machine learning in retail can seem daunting to those who have a technical background.This book demystifies the process, breaking down complex algorithms into understandable segments and showing how they can be applied to real-world retail challenges. From personalizing customer interactions to streamlining supply chain logistics, each unit highlights specific areas where machine learning can significantly impact.The structure of the book is designed to facilitate a gradual build-up of knowledge: Unit 1 dives into enhancing the customer experience through personalized marketing, recommendation systems, and behavior analysis. It explores how AI can transform every touchpoint of the customer journey.Unit 2 focuses on operational efficiency, covering inventory management, pricing strategies, and store layout optimization. These chapters are crucial for understanding how AI can reduce costs and improve margins in a competitive retail environment.Throughout the book, you'll find examples and case studies from leading retailers successfully integrating AI into their operations. These stories are intended to inspire and provide a clear sense of how theoretical concepts are translated into practice. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: New. Vaidya, Aniruddh (illustrator).

Condition: New. Vaidya, Aniruddh (illustrator). Print on Demand.

Condition: New. Vaidya, Aniruddh (illustrator). Print on Demand.