The Ai Product Manager S Handbook

Master the skills required to become an AI product manager and drive the successful development and deployment of AI products to deliver value to your organization. Purchase of the print or Kindle book includes a free PDF eBook. Key Features Build products that leverage AI for the common good and commercial success Take macro data and use it to show your customers you’re a source of truth Best practices and common pitfalls that impact companies while developing AI product Book DescriptionProduct managers working with artificial intelligence will be able to put their knowledge to work with this practical guide to applied AI. This book covers everything you need to know to drive product development and growth in the AI industry. From understanding AI and machine learning to developing and launching AI products, it provides the strategies, techniques, and tools you need to succeed. The first part of the book focuses on establishing a foundation of the concepts most relevant to maintaining AI pipelines. The next part focuses on building an AI-native product, and the final part guides you in integrating AI into existing products. You’ll learn about the types of AI, how to integrate AI into a product or business, and the infrastructure to support the exhaustive and ambitious endeavor of creating AI products or integrating AI into existing products. You’ll gain practical knowledge of managing AI product development processes, evaluating and optimizing AI models, and navigating complex ethical and legal considerations associated with AI products. With the help of real-world examples and case studies, you’ll stay ahead of the curve in the rapidly evolving field of AI and ML. By the end of this book, you’ll have understood how to navigate the world of AI from a product perspective.What you will learn Build AI products for the future using minimal resources Identify opportunities where AI can be leveraged to meet business needs Collaborate with cross-functional teams to develop and deploy AI products Analyze the benefits and costs of developing products using ML and DL Explore the role of ethics and responsibility in dealing with sensitive data Understand performance and efficacy across verticals Who this book is for This book is for product managers and other professionals interested in incorporating AI into their products. Foundational knowledge of AI is expected. If you understand the importance of AI as the rising fourth industrial revolution, this book will help you surf the tidal wave of digital transformation and change across industries.

Most economists agree that AI is a general purpose technology (GPT) like the steam engine, electricity, and the computer. AI will drive innovation in all sectors of the economy for the foreseeable future. Practical AI for Business Leaders, Product Managers, and Entrepreneurs is a technical guidebook for the business leader or anyone responsible for leading AI-related initiatives in their organization. The book can also be used as a foundation to explore the ethical implications of AI. Authors Alfred Essa and Shirin Mojarad provide a gentle introduction to foundational topics in AI. Each topic is framed as a triad: concept, theory, and practice. The concept chapters develop the intuition, culminating in a practical case study. The theory chapters reveal the underlying technical machinery. The practice chapters provide code in Python to implement the models discussed in the case study. With this book, readers will learn: The technical foundations of machine learning and deep learning How to apply the core technical concepts to solve business problems The different methods used to evaluate AI models How to understand model development as a tradeoff between accuracy and generalization How to represent the computational aspects of AI using vectors and matrices How to express the models in Python by using machine learning libraries such as scikit-learn, statsmodels, and keras

The essential guide to seamless product management for today’s fluid, unpredictable business world Long considered the most useful and insightful guide of its kind, The Product Manager’s Handbook has been fully revised and updated to give you the edge in today’s challenging business landscape. It features expanded coverage of product development processes, intelligence-gathering techniques (including social media), and a greater emphasis on international issues. This indispensable resource proves that the techniques and tools product managers use are similar—regardless of what industry they work in and what kind of products they manage. Simply put, this book has everything you need for superior job performance—whether you manage consumer or business-to-business products created by an organization that is hierarchical or horizontal. The Product Manager’s Handbook shows you how to integrate your organization’s disparate segments into a cooperative, results-focused unit that produces satisfying products—from initial design through the postpurchase experience. If your job is to create and commercialize products, it provides the information you need to: Balance breakthroughs and line extensions Create business cases—including competitive assessment, market requirements, and risk reduction Conduct gate reviews and beta testing and manage scope creep Get everything in order for a smooth product launch For those who manage existing lines, this guide provides: Specific tips for each of the 4Rs of product life-cycle management Brand guidelines Approaches to customer message management Advice on working with sales and the channel Clear, easy-to-read charts show you how to manage each crucial step from conception to completion, and practical checklists help you evaluate progress at every stage. Interviews with seasoned product management consultants and top-performing product managers provide you with dynamic, proven strategies for addressing potential problems in marketing, production, cross-cultural communication, and more. The Product Manager’s Handbook examines current market-leading companies, the latest research findings, and evolving customer perceptions to provide you with the tools you need to design, produce, and market winning products—and beat the competition at every turn.

"This revised and updated edition fully integrates the Internet and other digital technologies into the product manager's portfolio of tools. The book includes all new information on what it takes to be a successful product manager. It explains the product manager's role in the planning process (including strategic and operational planning), how to evaluate product portfolios, how to propose and develop successful new products, and much more."--BOOK JACKET.

In the ever-evolving terrain of technology, the convergence of artificial intelligence (AI) and product management has become a defining feature of the contemporary business landscape. The symbiotic relationship between these two domains has ushered in a new era of innovation, challenging traditional paradigms and reshaping the way products are conceptualized, developed, and delivered to users. As we stand at the crossroads of technological advancement, it is crucial to understand the intricate interplay between AI and product management. Product managers are no longer mere architects of features; they are orchestrators of intelligent systems, harnessing the power of machine learning, data analytics, and automation to redefine user experiences and business processes. This journey into the future of product management and AI is not merely a forecast but a roadmap that navigates the complex terrains of opportunities and challenges. It requires a keen understanding of the profound changes AI introduces to the product development lifecycle, the impact on user-centric design, and the transformative nature of data-driven decision-making. The landscape we traverse is marked by the fusion of human ingenuity with the capabilities of machines. It's a realm where algorithms augment creativity, where data becomes the currency of innovation, and where products evolve dynamically in response to real-time insights. As we embark on this exploration, it is imperative to grasp the significance of AI not as a standalone entity but as an integral force shaping the future trajectory of product management. This book seeks to unravel the intricacies of this evolving landscape, offering a comprehensive guide for product managers, business leaders, and enthusiasts who aim to harness the potential of AI to propel their products into the future. We will delve into the collaborative synergy between human expertise and machine intelligence, explore ethical considerations in design, navigate the challenges of agile methodologies in AI projects, and decipher the critical role of continuous learning in staying ahead of the curve. Join us on this expedition as we define the landscape where the pulse of AI harmonizes with the heartbeat of product management. Through insights, strategies, and real-world case studies, we aim to empower you to not only adapt to this changing landscape but to thrive within it, creating products that resonate with users in a world where the only constant is relentless innovation.

Achieve sustainable product growth with expert insights on data-driven decision-making and growth strategies to accelerate company's growth Key Features Understand and implement key growth product management models to improve revenue, user adoption, and retention Learn effective frameworks, strategies, and tactics for growth product management in various contexts Develop practical strategies and insights to achieve customer lifetime goals Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the dynamic landscape of modern product management, professionals face a myriad of challenges, spanning customer acquisition, monetization, user retention, competition, and technical expertise. To overcome these hurdles, this book crystalizes growth strategies that revolve around harnessing the power of data, experimentation, and user insights to drive growth for a product. This handbook serves as your guide to exploring the essential growth product management models and their applications in various contexts, unveiling their role in enhancing revenue performance and customer retention. Along the way, actionable steps will steer you in implementing these models while helping you better understand your users, experiment with new features and marketing strategies, and measure the impact of your efforts, ultimately guiding you to achieve your customer retention and lifetime customer goals. By the end of this book, you’ll have gained advanced insights into growth product management, models, and growth strategies, and when and how to use them to achieve customer-for-life goals and optimized revenue performance.What you will learn Understand key growth product management models such as lean startup, pirate metrics, and AARRR frameworks Optimize journeys, improve UX, and personalize interactions with retention and loyalty strategies Explore model applications in SaaS, e-commerce, and mobile app development Implement practical actions to prioritize, experiment, and measure Get to grips with techniques of service, feedback, and rewards for customer retention Set and achieve customer lifetime value goals for success Discover effective strategies for achieving your customer-for-life goals Who this book is for Whether you're a seasoned product manager, a newcomer to the field, or an aspiring growth product manager, this guide offers valuable insights and actionable strategies to drive growth and achieve success. Additionally, growth marketers and startup founders with basic product marketing knowledge will benefit from this book, expanding their understanding of growth-centric product management practices to elevate their careers and propel their companies to acquire more customers and reach customer-for-life goals.

"Nobody asked you to show up." Every experienced product manager has heard some version of those words at some point in their career. Think about a company. Engineers build the product. Designers make sure it has a great user experience and looks good. Marketing makes sure customers know about the product. Sales get potential customers to open their wallets to buy the product. What more does a company need? What does a product manager do? Based upon Product School's curriculum, which has helped thousands of students become great product managers, The Product Book answers that question. Filled with practical advice, best practices, and expert tips, this book is here to help you succeed!

In the last decade Artificial Intelligence has become ubiquitous, driving increasingly complex and consequential decisions like credit approvals, college admissions, courtroom bail decisions, early diagnosis of disease and so on. AI is no longer science fiction or something that we only see in the movies. It is real, and it's everywhere. These consequential decisions are happening at an unprecedented scale and tech companies and startups are launching new products that are changing the way people work and impact their lives in so many ways. This book is a comprehensive resource for product managers looking to leverage artificial intelligence in their products. Written by Marily Nika, an expert in the field, this book provides a clear and actionable framework for identifying opportunities and building AI-powered products that meet the needs of users and drive business growth. From understanding the basics of AI and machine learning, to identifying the right use cases and building a team, this book is an essential guide for product managers looking to stay ahead of the curve in the fast-moving world of AI. Readers do not need a technical background to thrive as a Product Manager leveraging AI. Marily will expertly guide the readers through the most popular use cases that AI can solve for, and describe which technologies can be leveraged for each use case. Readers will have tangible takeaways and they will understand the skillset they will need throughout the AI product lifecycle, as well as how to come up with AI-enabled ideas, how to create effective roadmaps for the products they are building and how to measure the success of an AI product. Moreover, readers will grasp the diverse skillset and tools that AI product managers need in order to thrive and effectively partner with scientists and engineers.