The Ai Product Managers Handbook
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| Author | : Irene Bratsis |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 250 |
| Release | : 2023-02-28 |
| Genre | : Computers |
| ISBN | : 1804617334 |
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.
| Author | : Alfred Essa |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 277 |
| Release | : 2022-03-21 |
| Genre | : Business & Economics |
| ISBN | : 150150584X |
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
| Author | : Linda Gorchels |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 402 |
| Release | : 2011-08-17 |
| Genre | : Business & Economics |
| ISBN | : 0071772987 |
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.
| Author | : Product School |
| Publisher | : |
| Total Pages | : 316 |
| Release | : 2017-05 |
| Genre | : Business & Economics |
| ISBN | : 9780998973814 |
"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!
| Author | : Linda Gorchels |
| Publisher | : McGraw-Hill Companies |
| Total Pages | : 312 |
| Release | : 2000 |
| Genre | : New products |
| ISBN | : |
"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.
| Author | : Ivana Bartoletti |
| Publisher | : John Wiley & Sons |
| Total Pages | : 304 |
| Release | : 2020-06-29 |
| Genre | : Business & Economics |
| ISBN | : 1119551900 |
Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important
| Author | : Matt LeMay |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 188 |
| Release | : 2017-11-08 |
| Genre | : Business & Economics |
| ISBN | : 1491982241 |
Product management has become a critical connective role for modern organizations, from small technology startups to global corporate enterprises. And yet the day-to-day work of product management remains largely misunderstood. In theory, product management is about building products that people love. The real-world practice of product management is often about difficult conversations, practical compromises, and hard-won incremental gains. In this book, author Matt LeMay focuses on the CORE connective skills— communication, organization, research, execution—that can build a successful product management practice across industries, organizations, teams, andtoolsets. For current and aspiring product managers, this book explores:? On-the-ground tactics for facilitating collaboration and communication? How to talk to users and work with executives? The importance of setting clear and actionable goals? Using roadmaps to connect and align your team? A values-first approach to implementing Agile practices? Common behavioral traps that turn good product managers bad
| Author | : Mariya Yao |
| Publisher | : |
| Total Pages | : 246 |
| Release | : 2018-04-30 |
| Genre | : Artificial intelligence |
| ISBN | : 9780998289021 |
This bestselling book gives business leaders and executives a foundational education on how to leverage artificial intelligence and machine learning solutions to deliver ROI for your business.
| Author | : Chris Fregly |
| Publisher | : "O'Reilly Media, Inc." |
| Total Pages | : 524 |
| Release | : 2021-04-07 |
| Genre | : Computers |
| ISBN | : 1492079367 |
With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more
| Author | : Richard Smith |
| Publisher | : Kogan Page Publishers |
| Total Pages | : 632 |
| Release | : 2014-11-03 |
| Genre | : Business & Economics |
| ISBN | : 0749473088 |
The Effective Change Manager's Handbook helps practitioners, employers and academics define and practise change management successfully and develop change management maturity within their organization. A single-volume learning resource covering the range of knowledge required, it includes chapters from established thought leaders on topics ranging from benefits management, stakeholder strategy, facilitation, change readiness, project management and education and learning support. The Effective Change Manager's Handbook covers the whole process from planning to implementation, offering practical tools, techniques and models to effectively support any change initiative. The editors of The Effective Change Manager's Handbook - Richard Smith, David King, Ranjit Sidhu and Dan Skelsey - are all experienced international consultants and trainers in change management. All four editors worked on behalf of the Change Management Institute to co-author the first global change management body of knowledge, The Effective Change Manager, and are members of the APMG International examination panel for change management.
