The Ai Product Manager S Handbook


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The AI Product Manager's Handbook


The AI Product Manager's Handbook

Author: Irene Bratsis

language: en

Publisher: Packt Publishing Ltd

Release Date: 2023-02-28


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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.

The Product Manager's Handbook 4/E


The Product Manager's Handbook 4/E

Author: Linda Gorchels

language: en

Publisher: McGraw Hill Professional

Release Date: 2011-08-17


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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.

AI Product Manager's Handbook


AI Product Manager's Handbook

Author: Irene Bratsis

language: en

Publisher: Packt Publishing Ltd

Release Date: 2024-11-29


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Whether you're a seasoned professional or a newcomer to the world of AI product management, this is your definitive guide. Embark on a transformative journey into the future of intelligent product management. Key Features Chart a successful career path in the AI product management field Packed with real-world examples, practical insights, and actionable strategies Navigate the complexities of AI product development and evolve your existing products Book Description This book will provide you with a detailed roadmap for successfully building, maintaining, and evolving artificial intelligence (AI)-driven products, serving as an indispensable companion on your journey to becoming an effective AI PM. We'll explore the AI landscape, demystify complex terms, and walk you through infrastructure, algorithms, and deployment strategies. You’ll master essential skills to understand the optimal flow of AI processes, learn about the product development life cycle from ideation to deployment, and familiarize yourself with commonly used model development techniques. We'll discuss the intricacies of building products natively with AI, as well as evolving traditional software product to AI products. Regardless of your use case, we’ll show you how you can craft compelling stories to captivate your audience. We'll help you find the right balance between foundational product design elements and the unique aspects of managing AI products, so you can prioritize wisely. We’ll also explore career considerations for AI PMs. By the end of this book, you will understand the importance of AI integration and be able to explore emerging AI/ML models like Generative AI and LLMs. You’ll discover open-source capabilities and best practices for ideating, building, and deploying AI products across verticals. What you will learn Plan your AI PM roadmap and navigate your career with clarity and confidence Gain a foundational understanding of AI/ML capabilities Align your product strategy, nurture your team, and navigate the ongoing challenges of cost, tech, compliance, and risk management Identify pitfalls and green flags for optimal commercialization Separate hype from reality and identify quick wins for AI enablement and GenAI Understand how to develop and manage both native and evolving AI products Benchmark product success from a holistic perspective Who this book is for This book is for aspiring and experienced product managers, as well as other professionals interested in incorporating AI into their products. Foundational knowledge of AI is expected and reinforced. If you are looking to better understand machine learning principles and data science methodologies, you will benefit from this book, particularly if you’re in a role where the application of AI/ML directly influences marketing outcomes and business strategies.