The Amazon Incubator

The real story about how to be a successful seller on Amazon, from a leading consultant. Amazon is the most powerful business incubator in the history of the world. Unfortunately, where there is great opportunity, get-rich-quick schemes abound. Most available books about selling on Amazon peddle a dream that is unattainable for sellers. They promise riches at the cost of only five hours a week, or a long-term income for an initial investment of just $1,000. The Amazon Incubator is different. This book instead offers realistic, sustainable strategies for building a long-term, profitable business on Amazon. Whether sellers are burgeoning entrepreneurs or own the ecommerce channel at an established brand, they will benefit from the strategic thinking and in-depth Amazon know-how delivered in an easily digestible format. The reader will be guided through exercises to define their goals, determine their product set, and execute like a champ. The Amazon Incubator is written in short, easy-to-digest chapters that include case studies and real-world examples of Amazon seller success and failure. Readers will better identify with and understand the information when case studies are included. In addition, each chapter includes a brief summary at the end, as well as suggested action steps, so it can easily be used as a tool for the reader to share with teammates and business associates.

The real story about how to be a successful seller on Amazon, from a leading consultant. Amazon is the most powerful business incubator in the history of the world. Unfortunately, where there is great opportunity, get-rich-quick schemes abound. Most available books about selling on Amazon peddle a dream that is unattainable for sellers. They promise riches at the cost of only five hours a week, or a long-term income for an initial investment of just $1,000. The Amazon Incubator is different. This book instead offers realistic, sustainable strategies for building a long-term, profitable business on Amazon. Whether sellers are burgeoning entrepreneurs or own the ecommerce channel at an established brand, they will benefit from the strategic thinking and in-depth Amazon know-how delivered in an easily digestible format. The reader will be guided through exercises to define their goals, determine their product set, and execute like a champ. The Amazon Incubator is written in short, easy-to-digest chapters that include case studies and real-world examples of Amazon seller success and failure. Readers will better identify with and understand the information when case studies are included. In addition, each chapter includes a brief summary at the end, as well as suggested action steps, so it can easily be used as a tool for the reader to share with teammates and business associates.

Today's age of disruptive technology is a strategic game changer for most organizations. Unpredictable market conditions create unprecedented challenges for simple organizational survival, let alone avenues for innovation and growth. This volume explores this dynamic environment in which corporate entrepreneurship strategies are pursued.

Are You Thinking of Keeping Chickens But Don't Know Where to Start? This Beginner’s Chicken-Keeping Guide Will Help You: Get Started - Who to Talk to Before You Get Chickens. Decide Which Chicken Breed or Breeds To Get Based On the Characteristics That You Are Looking For In A Chicken. To Find Or Purchase Your First Flock To Find Feed Dealers To Find Everything You Need To Set Up Your Brooder and Your Coop. To Care for Your Chicks Integrate Your Chicks If You Already Have An Existing Flock. To Manage Your Chicken Litter and More! Special Section With Tips On Deterring Predators: The author’s homestead is also home to abundant wildlife including: foxes, bears, raccoons, hawks and even mountain lions. While no method is 100% fool-proof, the author includes tips and ideas on how to you can help to protect your chickens from predators. Special Section On Egg Preservation: What do you do when you have an abundance of eggs? The book includes preservation techniques such as pickling, brining, freezing and waxing. Buy this book & get started today!

Quickly build and deploy machine learning models without managing infrastructure, and improve productivity using Amazon SageMaker’s capabilities such as Amazon SageMaker Studio, Autopilot, Experiments, Debugger, and Model Monitor Key FeaturesBuild, train, and deploy machine learning models quickly using Amazon SageMakerAnalyze, detect, and receive alerts relating to various business problems using machine learning algorithms and techniquesImprove productivity by training and fine-tuning machine learning models in productionBook Description Amazon SageMaker enables you to quickly build, train, and deploy machine learning (ML) models at scale, without managing any infrastructure. It helps you focus on the ML problem at hand and deploy high-quality models by removing the heavy lifting typically involved in each step of the ML process. This book is a comprehensive guide for data scientists and ML developers who want to learn the ins and outs of Amazon SageMaker. You’ll understand how to use various modules of SageMaker as a single toolset to solve the challenges faced in ML. As you progress, you’ll cover features such as AutoML, built-in algorithms and frameworks, and the option for writing your own code and algorithms to build ML models. Later, the book will show you how to integrate Amazon SageMaker with popular deep learning libraries such as TensorFlow and PyTorch to increase the capabilities of existing models. You’ll also learn to get the models to production faster with minimum effort and at a lower cost. Finally, you’ll explore how to use Amazon SageMaker Debugger to analyze, detect, and highlight problems to understand the current model state and improve model accuracy. By the end of this Amazon book, you’ll be able to use Amazon SageMaker on the full spectrum of ML workflows, from experimentation, training, and monitoring to scaling, deployment, and automation. What you will learnCreate and automate end-to-end machine learning workflows on Amazon Web Services (AWS)Become well-versed with data annotation and preparation techniquesUse AutoML features to build and train machine learning models with AutoPilotCreate models using built-in algorithms and frameworks and your own codeTrain computer vision and NLP models using real-world examplesCover training techniques for scaling, model optimization, model debugging, and cost optimizationAutomate deployment tasks in a variety of configurations using SDK and several automation toolsWho this book is for This book is for software engineers, machine learning developers, data scientists, and AWS users who are new to using Amazon SageMaker and want to build high-quality machine learning models without worrying about infrastructure. Knowledge of AWS basics is required to grasp the concepts covered in this book more effectively. Some understanding of machine learning concepts and the Python programming language will also be beneficial.

This book presents a list of emerging and established companies which have a strong belief in the digital economy and elaborate their unique digital innovations. The companies selected for this book are from a variety of industries, including both Chinese and international leading technology companies such as iflytek, JD.com, IBM and Amazon. A wide range of commercial fields are covered ensuring a comprehensive research on the topic of digital economy, for example Shanghai Center (Construction Management), PPDai(Finance), 3Dmed(Precision Medicine), Children’s Hospital of Shanghai(Medical Service), First Respond (First Aid Service) etc. All cases are presented based on field studies as well as in-depth interviews and are followed by thought-provoking case analysis, which can help readers to better understand the cases from different perspectives. Readers can use this book as a good reference to address challenges and capture opportunities in the context of ever growing digital economy.