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Author: Irene Bratsis Publisher: Packt Publishing Ltd ISBN: 1804617334 Category : Computers Languages : en Pages : 250
Book Description
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: Irene Bratsis Publisher: Packt Publishing Ltd ISBN: 1804617334 Category : Computers Languages : en Pages : 250
Book Description
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 ISBN: 150150584X Category : Business & Economics Languages : en Pages : 277
Book Description
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 ISBN: 0071772987 Category : Business & Economics Languages : en Pages : 402
Book Description
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: Linda Gorchels Publisher: McGraw-Hill Companies ISBN: Category : New products Languages : en Pages : 312
Book Description
"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: Product School Publisher: ISBN: 9780998973814 Category : Business & Economics Languages : en Pages : 316
Book Description
"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: Kevin Brennan Publisher: Kevin Brennan ISBN: 173383902X Category : Business & Economics Languages : en Pages : 128
Book Description
Mastering Product Management: A Step-by-Step Guide offers practical, real-world advice on how to create and capture value as a Product Manager. It covers the full product life cycle, from idea discovery through end-of-life. Each section is scannable and concise, around two to three pages. Rather than diving deep into the theoretical background of a given area, it serves as a checklist of the key steps a Product Manager should take to complete a given task. - Source new ideas that succeed - Set a compelling product vision and strategy - Search for profitable new business models - Become a market expert - Effectively manage roadmaps - Ensure a successful product launch - Understand value and price profitably - Build and manage high-performance teams - And much more! This book is a convenient reference guide that you can use throughout your workday. It’s meant for Product Managers of all levels and for anyone wishing to understand what it takes to define, develop, launch, and market new products successfully.
Author: Luis Jurado Publisher: Luis Jurado ISBN: 9781739400439 Category : Languages : en Pages : 0
Book Description
The AI-Powered Product Manager: Combining Strategy and Technology is a comprehensive guide designed to equip product managers with the knowledge and tools needed to excel in the rapidly evolving world of AI and Machine Learning. This book aims to bridge the gap between traditional product management practices and the cutting-edge techniques needed to develop and manage AI-powered products. In this 400+ page guide, you will delve deep into the following key areas: Understanding the growing importance of Machine Learning and AI in product management and why it is crucial to learn the correct procedures. Mastering the art of business strategy for Machine Learning and AI by exploring traditional algorithms, ML and AI model innovations, and hypothesis building and testing. Grasping essential technology and concepts, including Machine Learning, Deep Learning, and the differences between Supervised, Unsupervised, and Reinforcement Learning. Navigating product discovery with AI, identifying problems and opportunities, user research methods, developing user personas, and prototyping with ML and AI. Implementing the best advice and trends in data management for ML and AI, including data growth strategies, open data, company data, and crowdsourcing labelled data. Excelling at product development for ML/AI, such as problem-solving approaches, prioritisation, MVP and MVD concepts, agile methodologies, and Data Kanban in product development. Building and evaluating high-performance AI models while setting model performance metrics, understanding test data, and optimising for user experience. Mastering trial phases in ML and AI product deployment, defining success criteria, selecting the right models, minimising bias, and scaling successful trials. Streamlining deployment and continuous deployment, monitoring models, selecting feedback metrics, implementing user feedback loops, and shadow deployments. Learning how to manage Data Scientists and ML Engineers effectively, understanding ML and AI hierarchy needs and roles, and managing team workflows. Improving communication skills with internal stakeholders, setting data expectations, active listening, compelling storytelling, and running effective meetings. Addressing privacy and bias concerns in AI and Machine Learning, understanding user concerns, security issues, AI amplifying human bias, and adhering to data laws and regulations. In addition, the book concludes with a thoughtful exploration of the future of product management and Machine Learning, offering a summary of key takeaways and recommendations for continued learning. Whether you are a seasoned product manager or just starting your career in this dynamic field, The AI-Powered Product Manager: Combining Strategy and Technology is your indispensable resource for mastering the knowledge and skills needed to thrive in the age of AI and Machine Learning.
Author: Chris Fregly Publisher: "O'Reilly Media, Inc." ISBN: 1492079367 Category : Computers Languages : en Pages : 524
Book Description
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: Ivana Bartoletti Publisher: John Wiley & Sons ISBN: 1119551927 Category : Business & Economics Languages : en Pages : 782
Book Description
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: Irene Bratsis
Author: Irene Bratsis
Author: Alfred Essa
Author: Linda Gorchels
Author: Linda Gorchels
Author: Product School
Author: Kevin Brennan
Author: Luis Jurado
Author: Minh Trinh
Author: Chris Fregly
Author: Ivana Bartoletti