Download or read book The AI Product Management Playbook written by Amey Arvind Bhile and published by Independently Published. This book was released on 2024-07-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Power of AI Product Management Are you ready to lead the AI revolution? "The AI Product Manager's Playbook: Your 8-Week Roadmap to Master AI Product Management" is your comprehensive guide to navigating the exciting and complex world of AI-driven products. In this practical, hands-on book, you'll discover: A structured 8-week program to master AI product management Essential skills for bridging the gap between technology and business value Strategies for effective collaboration with data scientists and engineers Techniques for user research and problem definition in AI products Methods for creating AI-specific product roadmaps and go-to-market strategies Frameworks for ethical AI development and responsible innovation Best practices for launching, measuring, and iterating AI products Whether you're a seasoned product manager looking to transition into AI, a tech professional aiming to broaden your impact, or a student charting your career path, this book offers a clear roadmap to becoming an effective AI Product Manager. This playbook combines deep technical knowledge with practical business insights. Each chapter includes real-world case studies, practical exercises, and reflection questions to reinforce your learning. Don't just ride the AI wave - learn to navigate it. Start your journey to AI product management mastery today!

Download or read book From Zero to Offer The AI ML Product Manager Interview Playbook written by Luis Jurado and published by . This book was released on 2023-06-27 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "From Zero to Offer" is the go-to playbook for any Product Manager interview, specially designed to assist aspiring AI & ML Product Managers. It navigates you through the process of securing a sought-after AI Product Manager job offer in the rapidly evolving field of artificial intelligence and machine learning. This comprehensive manual provides a thorough view of the dynamic product management landscape and charts a course for effectively tackling the challenging AI & ML industry interviews. The book starts by detailing the unique role of an AI & ML Product Manager. It meticulously outlines the specific blend of skills required to succeed in this versatile role. The next section delves into AI and ML fundamentals, empowering candidates with the knowledge necessary to answer industry-specific interview questions with confidence. Here are some exceptional benefits of the "From Zero to Offer - The AI & ML Product Manager Interview Playbook" Comprehensive Coverage: The book offers a broad collection of over 60 real-world Product Manager interview questions from leading tech companies. Every question comes paired with illustrative answers and comprehensive explanations, preparing candidates to understand the thought process and strategies needed for similar situations. Actionable Interview Preparation: It includes a detailed step-by-step guide for efficient interview preparation, assisting you in highlighting your strengths, managing your weaknesses, and demonstrating your knowledge, skills, and experience in a compelling manner. CV Crafting Guide: The playbook provides practical advice on creating an enticing CV, an essential document that can make or break your chances of landing an AI Product Manager job interview. Discover how to present your AI & ML-related experience, skills, and achievements in an engaging and persuasive manner. First 90 Days Strategy: Beyond just securing a job offer, the book also provides a blueprint for your initial 90 days as an AI & ML Product Manager. Get hands-on tips on building credibility, setting achievable goals, and quickly integrating into your new team. Versatile Use: This playbook serves not just aspiring AI & ML Product Managers but also as a valuable resource for hiring managers and teams seeking to understand what to look for in a successful AI Product Manager candidate. Whether you're a seasoned Product Manager looking for a career transition into AI and ML or a rising professional aiming to break into this dynamic field, "From Zero to Offer" will guide you through the interview process with ease. It's not merely about getting a job offer; it's about preparing to excel in the future of product management. Grab your copy now and take the first step towards your dream AI Product Manager job.

Download or read book The Lean Product Playbook written by Dan Olsen and published by John Wiley & Sons. This book was released on 2015-05-21 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: The missing manual on how to apply Lean Startup to build products that customers love The Lean Product Playbook is a practical guide to building products that customers love. Whether you work at a startup or a large, established company, we all know that building great products is hard. Most new products fail. This book helps improve your chances of building successful products through clear, step-by-step guidance and advice. The Lean Startup movement has contributed new and valuable ideas about product development and has generated lots of excitement. However, many companies have yet to successfully adopt Lean thinking. Despite their enthusiasm and familiarity with the high-level concepts, many teams run into challenges trying to adopt Lean because they feel like they lack specific guidance on what exactly they should be doing. If you are interested in Lean Startup principles and want to apply them to develop winning products, this book is for you. This book describes the Lean Product Process: a repeatable, easy-to-follow methodology for iterating your way to product-market fit. It walks you through how to: Determine your target customers Identify underserved customer needs Create a winning product strategy Decide on your Minimum Viable Product (MVP) Design your MVP prototype Test your MVP with customers Iterate rapidly to achieve product-market fit This book was written by entrepreneur and Lean product expert Dan Olsen whose experience spans product management, UX design, coding, analytics, and marketing across a variety of products. As a hands-on consultant, he refined and applied the advice in this book as he helped many companies improve their product process and build great products. His clients include Facebook, Box, Hightail, Epocrates, and Medallia. Entrepreneurs, executives, product managers, designers, developers, marketers, analysts and anyone who is passionate about building great products will find The Lean Product Playbook an indispensable, hands-on resource.

Download or read book The AI Product Manager s Handbook written by Irene Bratsis and published by Packt Publishing Ltd. This book was released on 2023-02-28 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Product Book How to Become a Great Product Manager written by Product School and published by . This book was released on 2017-05 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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!

Download or read book Product Management in Practice written by Matt LeMay and published by "O'Reilly Media, Inc.". This book was released on 2017-11-08 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book AI Product Management written by Kumar Vishwesh and published by . This book was released on 2023-03-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is revolutionizing the way we do business, and AI product management is at the forefront of this transformation. In this practical guide, you'll learn the skills and strategies needed to successfully develop, launch, and scale AI products. We'll start by introducing you to the role of an AI product manager and the importance of AI in today's business landscape. From there, you'll learn how to understand the AI ecosystem and identify the right use cases for your AI product. You'll also discover how to build and manage an interdisciplinary team, design and develop an AI product, and launch and market it effectively. Throughout the book, you'll find real-world examples and best practices for growing and scaling your AI product. Whether you're a product manager, engineer, data scientist, or entrepreneur, this book will provide you with the knowledge and tools you need to succeed in the exciting field of AI product management. Note: This is a basic book on the topic intended to give you just a high-level overview. Please don't expect in deep dive into the topics. Making the readers aware of the topics involved in this new field, is the prime purpose.

Download or read book The One Product Strategy written by Jonny Bradley and published by . This book was released on 2019 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Data Science on AWS written by Chris Fregly and published by "O'Reilly Media, Inc.". This book was released on 2021-04-07 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book The AI Powered Product Manager written by Luis Jurado and published by Luis Jurado. This book was released on 2023-05-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Demystifying AI for the Enterprise written by Prashant Natarajan and published by CRC Press. This book was released on 2021-12-30 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) in its various forms –– machine learning, chatbots, robots, agents, etc. –– is increasingly being seen as a core component of enterprise business workflow and information management systems. The current promise and hype around AI are being driven by software vendors, academic research projects, and startups. However, we posit that the greatest promise and potential for AI lies in the enterprise with its applications touching all organizational facets. With increasing business process and workflow maturity, coupled with recent trends in cloud computing, datafication, IoT, cybersecurity, and advanced analytics, there is an understanding that the challenges of tomorrow cannot be solely addressed by today’s people, processes, and products. There is still considerable mystery, hype, and fear about AI in today’s world. A considerable amount of current discourse focuses on a dystopian future that could adversely affect humanity. Such opinions, with understandable fear of the unknown, don’t consider the history of human innovation, the current state of business and technology, or the primarily augmentative nature of tomorrow’s AI. This book demystifies AI for the enterprise. It takes readers from the basics (definitions, state-of-the-art, etc.) to a multi-industry journey, and concludes with expert advice on everything an organization must do to succeed. Along the way, we debunk myths, provide practical pointers, and include best practices with applicable vignettes. AI brings to enterprise the capabilities that promise new ways by which professionals can address both mundane and interesting challenges more efficiently, effectively, and collaboratively (with humans). The opportunity for tomorrow’s enterprise is to augment existing teams and resources with the power of AI in order to gain competitive advantage, discover new business models, establish or optimize new revenues, and achieve better customer and user satisfaction.

Download or read book Human Machine written by Paul R. Daugherty and published by Harvard Business Press. This book was released on 2018-03-20 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.

Download or read book The AI Playbook written by Eric Siegel and published by MIT Press. This book was released on 2024-02-06 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: In his bestselling first book, Eric Siegel explained how machine learning works. Now, in The AI Playbook, he shows how to capitalize on it. “Eric Siegel delivers a robust primer on machine learning, the key mechanism in AI. A forward-looking, practical book and a must-read for anyone in the information economy.” —Scott Galloway, NYU Stern Professor of Marketing; bestselling author of The Four “An antidote to today’s relentless AI hype—why some AI initiatives thrive while others fail and what it takes for companies and people to succeed.” —Charles Duhigg, author of bestsellers The Power of Habit and Smarter Faster Better The greatest tool is the hardest to use. Machine learning is the world’s most important general-purpose technology—but it’s notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning projects from conception to deployment. He illustrates the practice with stories of success and of failure, including revealing case studies from UPS, FICO, and prominent dot-coms. This disciplined approach serves both sides: It empowers business professionals, and it establishes a sorely needed strategic framework for data professionals. Beyond detailing the practice, this book also upskills business professionals—painlessly. It delivers a vital yet friendly dose of semi-technical background knowledge that all stakeholders need to lead or participate in machine learning projects, end to end. This puts business and data professionals on the same page so that they can collaborate deeply, jointly establishing precisely what machine learning is called upon to predict, how well it predicts, and how its predictions are acted upon to improve operations. These essentials make or break each initiative—getting them right paves the way for machine learning’s value-driven deployment. What kind of AI does this book cover? The buzzword AI can mean many things, but this book is about machine learning, which is a central basis for—and what many mean by—AI. To be specific, this book covers the most vital use cases of machine learning, those designed to improve a wide range of business operations.

Download or read book AI Product Manager written by Padmaraj Nidagundi and published by . This book was released on 2022-01-03 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you have ever thought to yourself, "I want to become an Artificial Intelligence Product Manager or I want to enhance my skills as an AI Product Manager" then this is the perfect book for you. In it, the author comes up with some important themes: Artificial intelligence product manager journey, AI product manager skills for the future and so on. In the book, the author comes up with some important themes: History Of AI Product Manager Becoming A Artificial Intelligence Product Manager Steps To Become A Artificial Intelligence Product Manager Artificial Intelligence Product Manager In The Agile Era Artificial Intelligence Product Manager Journey First Month, You Will Next 3 Months, You Will Within The Next 6 Months, You Will AI Datasets Creation, Models Building And Updating, Impact Measurement Collaborating With Developers, Machine Learning Engineers, As Well As Product Management Teams AI Product Full Life Cycle: Strategy, Development, Experimentation, Launch, Optimization, Sunset Role Of An AI Product Manager Managing A Product Backlog Engage With Stakeholders To Scope Work How AI Product Manager Work With Data Scientists How Artificial Intelligence Product Manager Make Critical Decisions How AI Product Manager Make Proposing Simple, Creative Solutions To Complex Problems How AI Product Manager Understand And Interpret Data Ai Product Manager And Technical Team Management Ai Product Manager: Customers And Product Strategy And Improvements Ai Product Manager Skills For Future Follow Along The Journey Self Q&A This book will provide you with a solid foundation for an Artificial intelligence Product manager. This book not only presents some specific technical skills of AI product manager but also it provides an overview of the artificial intelligence product manager's job including team management, detailed steps of the full lifecycle product development from idea to launch and from launch to sunset, from data set creation to machine learning models building and updating. This book is very helpful for both professionals and students. One of the main features of this book is its clear language, simple way to present complex ideas and easy-to-understand method to apply this. Review #1 As a technical product manager, I really enjoyed this book. It provides a clear explanation of key Artificial Intelligence concepts and how they can be applied to real-life product development. It also provides a detailed overview of the job responsibilities of an AI product manager, which is useful for those who want to build a career as an Artificial Intelligence Product Manager or want to promote their career as an AI product manager. The author's way of introducing these complex ideas in an easy-to-understand manner is also remarkable. I really enjoyed his style of writing, which is based on structure and examples. This book will help you to enhance your career as an Artificial Intelligence Product Manager. It also helps to advance your career in the field of Data Science. I highly recommend this book to all professionals who are working in the field of Data Science or Artificial Intelligence Product Manager. Review #2 This book is very informative and easy to understand. It has all the necessary information that can be helpful to do AI, Product Manager. I thought that it would be confusing but it was just amazing and made me realize what exactly I'm doing in my job. The author uses a lot of examples in this book which makes the topic to be easy to understand by all levels.

Download or read book Building Insanely Great Products written by David Fradin and published by Spice Catalyst Media via PublishDrive. This book was released on 2016-11-30 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building Insanely Great Products: Some Products Fail, Many Succeed...This is their Story is dedicated to one goal: To help you learn how you can enhance the chances of product success and reduce product failure. Steve Jobs coined the term “Building Insanely Great Products” and this book with many real-life examples tells the story of what he meant by that phrase and how every organization can build insanely great products and services. Building Insanely Great Products covers the six keys to success, how to do market research, the importance of customer loyalty, innovation and design, using personas for development and not just marketing, determining the product’s value proposition, the correct way to prioritize product features, market sizing that works, market segmentation, product positioning, distribution strategy, product lifecycle framework and process, and the customer journey and digital transformation. As Steve Johnson, the grandfather of product management training says: “... we’ve learned that companies often don’t know why they succeed and why they fail. Many rely on luck; too many rely on “HIPPO”—the highest paid person's opinion. And if you don’t know why you succeed, you won’t know how to succeed again.

Download or read book Product Management Essentials written by Aswin Pranam and published by Apress. This book was released on 2017-12-12 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gain all of the techniques, teachings, tools, and methodologies required to be an effective first-time product manager. The overarching goal of this book is to help you understand the product manager role, give you concrete examples of what a product manager does, and build the foundational skill-set that will gear you towards a career in product management. To be an effective PM in the tech industry, you need to have a basic understanding of technology. In this book you’ll get your feet wet by exploring the skills a PM needs in their toolset and cover enough ground to make you feel comfortable in a technical discussion. A PM is not expected to have the same level of depth or knowledge as a software engineer, but knowing enough to continue the conversation can be a benefit in your career in product management. A complete product manager will have a 360-degree understanding of user experience and how to craft beautiful products that are easy-to-use, with the end user in mind. You’ll continue your journey with a walk through basic UX principles and even go through the process of building a simple set of UI frames for a mock app. Aside from the technical and design expertise, a PM needs to master the social aspects of the role. Acting as a bridge between engineering, marketing, and other teams can be difficult, and this book will dive into the business and soft skills of product management. After reading Product Management Essentials you will be one of a select few technically-capable PMs who can interface with management, stakeholders, customers, and the engineering team. What You Will Learn Gain the traits of a successful PM from industry PMs, VCs, and other professionals See the day-to-day responsibilities of a PM and how the role differs across tech companies Absorb the technical knowledge necessary to interface with engineers and estimate timelines Design basic mocks, high-fidelity wireframes, and fully polished user interfaces Create core documents and handle business interactions Who This Book Is For Individuals who are eyeing a transition into a PM role or have just entered a PM role at a new organization for the first time. They currently hold positions as a software engineer, marketing manager, UX designer, or data analyst and want to move away from a feature-focused view to a high-level strategic view of the product vision.

Download or read book The AI First Company written by Ash Fontana and published by Penguin. This book was released on 2021-05-04 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence is transforming every industry, but if you want to win with AI, you have to put it first on your priority list. AI-First companies are the only trillion-dollar companies, and soon they will dominate even more industries, more definitively than ever before. These companies succeed by design--they collect valuable data from day one and use it to train predictive models that automate core functions. As a result, they learn faster and outpace the competition in the process. Thankfully, you don't need a Ph.D. to learn how to win with AI. In The AI-First Company, internationally-renowned startup investor Ash Fontana offers an executable guide for applying AI to business problems. It's a playbook made for real companies, with real budgets, that need strategies and tactics to effectively implement AI. Whether you're a new online retailer or a Fortune 500 company, Fontana will teach you how to: • Identify the most valuable data; • Build the teams that build AI; • Integrate AI with existing processes and keep it in check; • Measure and communicate its effectiveness; • Reinvest the profits from automation to compound competitive advantage. If the last fifty years were about getting AI to work in the lab, the next fifty years will be about getting AI to work for people, businesses, and society. It's not about building the right software -- it's about building the right AI. The AI-First Company is your guide to winning with artificial intelligence.