Building Ai Powered Products
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Building Ai Powered Products
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Author : Marily Nika
language : en
Publisher:
Release Date : 2024-12-03
Building Ai Powered Products written by Marily Nika and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-03 with Computers categories.
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.
Ai Powered Commerce
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Author : Andy Pandharikar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-01-28
Ai Powered Commerce written by Andy Pandharikar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-28 with Computers categories.
Learn how to use artificial intelligence for product and service innovation, including the diverse use cases of Commerce.AI Key FeaturesLearn how to integrate data and AI in your innovation workflowsUnlock insights into how various industries are using AI for innovationApply your knowledge to real innovation use cases like product strategy and market intelligenceBook Description Commerce.AI is a suite of artificial intelligence (AI) tools, trained on over a trillion data points, to help businesses build next-gen products and services. If you want to be the best business on the block, using AI is a must. Developers and analysts working with AI will be able to put their knowledge to work with this practical guide. You'll begin by learning the core themes of new product and service innovation, including how to identify market opportunities, come up with ideas, and predict trends. With plenty of use cases as reference, you'll learn how to apply AI for innovation, both programmatically and with Commerce.AI. You'll also find out how to analyze product and service data with tools such as GPT-J, Python pandas, Prophet, and TextBlob. As you progress, you'll explore the evolution of commerce in AI, including how top businesses today are using AI. You'll learn how Commerce.AI merges machine learning, product expertise, and big data to help businesses make more accurate decisions. Finally, you'll use the Commerce.AI suite for product ideation and analyzing market trends. By the end of this artificial intelligence book, you'll be able to strategize new product opportunities by using AI, and also have an understanding of how to use Commerce.AI for product ideation, trend analysis, and predictions. What you will learnFind out how machine learning can help you identify new market opportunitiesUnderstand how to use consumer data to create new products and servicesUse state-of-the-art AI frameworks and tools for data analysisLaunch, track, and improve products and services with AIRise above the competition with unparalleled insights from AITurn customer touchpoints into business winsGenerate high-conversion product and service copyWho this book is for This AI book is for AI developers, data scientists, data product managers, analysts, and consumer insights professionals. The book will guide you through the process of product and service innovation, no matter your pre-existing skillset.
The Ai Powered Product Manager
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Author : Luis Jurado
language : en
Publisher: Luis Jurado
Release Date : 2023-05-08
The Ai Powered Product Manager written by Luis Jurado and has been published by Luis Jurado this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-08 with categories.
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.
Designing And Building Ai Products And Services
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Author : Cybellium Ltd
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-05
Designing And Building Ai Products And Services written by Cybellium Ltd and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-05 with Computers categories.
In an era defined by technological innovation, artificial intelligence (AI) has emerged as a transformative force shaping industries across the globe. "Designing and Building AI Products and Services" is an authoritative guide that navigates readers through the intricate process of creating AI-powered solutions, empowering them to craft products and services that are not only cutting-edge but also deeply impactful. About the Book: This comprehensive volume, penned by seasoned experts in AI and product design, provides a roadmap for conceiving, developing, and launching AI-infused products and services. From ideation to execution, "Designing and Building AI Products and Services" delivers a step-by-step framework that demystifies the complexities of AI integration, enabling readers to harness its potential with confidence. Key Features: Foundations of AI Integration: The book commences by establishing a strong foundation in AI fundamentals. Readers will grasp the core concepts, terminologies, and methodologies crucial for successfully integrating AI into products and services. Human-Centric Design: Emphasizing user-centricity, the book explores design thinking and user experience principles tailored for AI solutions. Readers will learn how to create intuitive, seamless experiences that resonate with end-users. From Concept to Prototype: Guiding readers through the iterative design process, the book details how to transform initial concepts into tangible prototypes, refining ideas and validating assumptions along the way. AI Techniques and Algorithms: Readers are introduced to an array of AI techniques, from machine learning and natural language processing to computer vision and recommendation systems. The book elucidates when and how to apply these techniques effectively. Data Collection and Ethics: Addressing a critical aspect of AI development, the book delves into responsible data collection, privacy considerations, and ethical concerns that must be integrated into the product design process. Scalability and Deployment: The book covers strategies for scaling AI solutions and navigating challenges associated with deployment. Readers will learn how to manage infrastructure, ensure performance, and adapt to evolving user needs. Case Studies and Real-World Examples: Featuring real-world case studies, readers gain insights into successful AI product launches across diverse industries, illuminating best practices and lessons learned. Who Should Read This Book: "Designing and Building AI Products and Services" caters to a wide audience, including product managers, designers, developers, business leaders, and entrepreneurs seeking to capitalize on the AI revolution. Whether you're a novice eager to explore AI's potential or an industry veteran looking to integrate AI into existing offerings, this book equips you with the knowledge and strategies needed to navigate the evolving landscape of AI product design. About the Authors: The authors of "Designing and Building AI Products and Services" are distinguished thought leaders in AI and product design, bringing a wealth of expertise to the table. With a proven track record of AI innovation, research, and successful product launches, they share their insights and experiences to empower readers to create AI-powered solutions that resonate in the market.
Executive Briefing
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Author : Mayukh Bhaowal
language : en
Publisher:
Release Date : 2020
Executive Briefing written by Mayukh Bhaowal and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
There's an evolution in product management correlated with the shift from the digital revolution to the AI revolution. AI product managers are rising. As AI and ML eat software, more and more PMs and execs need to level up their skills to manage these products and provide requirements and specifications that add value to the data engineering and data science teams. This leads to actually solving customer pain points and not just building a cool technology solution. Imagine a new recommendation feature. Traditionally, a PM would work with a designer and come up with the UI/UX specification around the layout, when and where to show the recommendations, the behavior on interacting with the recommendations, etc. However, product specifications around UX, layout, or interactions are of no value to a machine learning engineer or a data scientist who would need to operationalize a machine learning system to power such recommendations. Mayukh Bhaowal (Salesforce) details the top areas an AI product manager needs to focus on above and beyond a traditional PM, including mapping of business problems to machine learning problems, understanding data and labelled data nuances, defining crisp model evaluation criteria, model explainability, ethics and bias, and the distinction between research and production when it comes to AI-powered products and features. Prerequisite knowledge A working knowledge of AI product space What you'll learn Understand that the role of product management has changed fundamentally and that AI product managers and execs need unique skill sets above and beyond traditional PMs to be successful in the real world building AI/ML products Learn how AI product managers and execs need to think differently about customers, use cases, and how to translate them into tangible requirements for data engineers and data scientists This session is from the 2019 O'Reilly Artificial Intelligence Conference in San Jose, CA.
Ai Startup Strategy
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Author : Adhiguna Mahendra
language : en
Publisher: Apress
Release Date : 2023-10-27
Ai Startup Strategy written by Adhiguna Mahendra and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-27 with Business & Economics categories.
Gain exclusive access to the secrets to building an enterprise AI start-up. AI innovation helps with every aspect of the business, from the supply chain, marketing, and advertising, customer service, risk management, operations to security. Industries from different verticals have been adopting AI and get real business values out of it. This book guides you through each step, from defining the business need and business model, all the way to registering IP and calculating your AI start-up valuation. You see how to perform market and technology validation, perform lean AI R&D, design AI architecture, AI product development and operationalization. The book also cover building and managing an AI team, along with attracting and keeping business and developer users, Building an Enterprise AI start-up is hard because Enterprise AI is an effort to build applications to mimic human intelligence to solve business problems. Hence it has a different challenge from building traditional non-AI applications, such as scouting, recruiting and managing AI talents; designing the most cost-efficient and scalable Enterprise AI; or establishing the best practice to operationalize AI in production As we are in the dawn of the AI-first product wave, AI-powered products for enterprises will be created for many years to come and AI Startup Strategy is the one-stop guide for it. What You'll Learn Match customer’s expectation VS technical feasibility Justify business values and ROI for customers Review the best business models for high valuation enterprise AI start-ups Design an AI product that gives a satisfactory experience for the user Register and value AI IP Who This Book is For Startup Founders, Product Managers, Software Architects/Lead Engineers, Executives
The Rise Of Ai Powered Companies
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Author : François Candelon
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-09-20
The Rise Of Ai Powered Companies written by François Candelon and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-20 with Business & Economics categories.
Artificial intelligence is emerging as a game-changer in the business world, with impacts across all sectors. AI allows business to process massive amounts of data instantaneously, and to scale solutions at almost zero marginal cost, forcing companies to adapt and reimagine their business and operations. The Rise of AI-Powered Companies examines some of the most successful examples of companies using artificial intelligence to their advantage. From AI-enabled countries across the globe that stayed resilient and strong in the face of COVID-19, to Business-to-Consumer businesses that transformed their product development processes thanks to unprecedented amounts of consumer data, increasing their revenues manifold along the way. The book then delves into the critical enablers to becoming AI-powered and the critical steps to activate and integrate them within business organizations. Starting with data strategy, it examines new forms of data sharing and how companies should think about governance and privacy risks. It then focuses on human–AI collaboration and its role in building a stronger team culture. Finally, "Responsible AI" is discussed as well as the impact of AI-powered businesses on society at large. AI-powered companies will become the norm in the years to come. By unpacking and showcasing the major steps of a successful AI transformation, this book will help guide organizations in making the critical leap to become AI-powered—essential to survive and remain competitive in the near future.
Building Machine Learning Powered Applications
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Author : Emmanuel Ameisen
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2020-01-21
Building Machine Learning Powered Applications written by Emmanuel Ameisen and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-21 with Computers categories.
Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML). Through the course of this hands-on book, you’ll build an example ML-driven application from initial idea to deployed product. Data scientists, software engineers, and product managers—including experienced practitioners and novices alike—will learn the tools, best practices, and challenges involved in building a real-world ML application step by step. Author Emmanuel Ameisen, an experienced data scientist who led an AI education program, demonstrates practical ML concepts using code snippets, illustrations, screenshots, and interviews with industry leaders. Part I teaches you how to plan an ML application and measure success. Part II explains how to build a working ML model. Part III demonstrates ways to improve the model until it fulfills your original vision. Part IV covers deployment and monitoring strategies. This book will help you: Define your product goal and set up a machine learning problem Build your first end-to-end pipeline quickly and acquire an initial dataset Train and evaluate your ML models and address performance bottlenecks Deploy and monitor your models in a production environment
Building Products With Generative Ai Kindle Edition
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Building Products With Generative Ai Kindle Edition written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
"Building Products with Generative AI" explores the transformative potential of generative artificial intelligence (AI) in product development. The book delves into various aspects of generative AI, starting with an introduction to Generative Adversarial Networks (GANs) and their applications in product design. It discusses how GANs can generate realistic design variations, explore novel concepts, and enhance creativity and innovation in the design process. Fundamental principles of product design, including design theories, user-centered design methodologies, and design thinking frameworks, are explored to provide a solid foundation for integrating generative AI into the product development pipeline. The book emphasizes the importance of data preparation and training strategies for generative models, highlighting techniques for data collection, curation, preprocessing, and model training. Design generation techniques such as conditional generation, style transfer, and text-to-image synthesis are examined in detail, showcasing how these techniques can be leveraged to generate customized designs, synthesize new design aesthetics, and translate textual descriptions into visual representations. The book also explores how generative AI can be integrated into collaborative design processes, enabling real-time collaboration, feedback loops, and iterative improvement. It addresses ethical and bias concerns in AI-driven design, emphasizing responsible AI development practices to ensure fairness, transparency, and accountability. Through case studies, the book demonstrates real-world applications of generative AI in designing customizable products, providing personalized recommendations, and automating design tasks. It also discusses emerging trends in generative AI, ethical implications, and technical challenges in implementation. In conclusion, "Building Products with Generative AI" offers a comprehensive overview of how generative AI is revolutionizing product development. It provides practical insights, strategies, and techniques for harnessing the power of generative AI to drive creativity, efficiency, and innovation in product design. The book serves as a valuable resource for designers, engineers, and business leaders seeking to leverage generative AI to create groundbreaking products that meet the evolving needs of consumers in the digital age.
Artificial Intelligence
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Author : Henry E Parkins
language : en
Publisher: Independently Published
Release Date : 2024-01-28
Artificial Intelligence written by Henry E Parkins and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-28 with categories.
Unlock the Secrets to Profiting from Artificial Intelligence! In "Artificial Intelligence: How to Make Money with the Power of AI," embark on an exhilarating journey into the realm of cutting-edge technology and limitless potential. This groundbreaking book is your gateway to understanding and harnessing the transformative power of AI to unlock unprecedented opportunities for financial growth and success. Delve into the depths of Artificial Intelligence and discover how this revolutionary technology is reshaping industries, revolutionizing business models, and creating new pathways to prosperity. From machine learning and deep learning to neural networks and natural language processing, explore the dynamic landscape of AI and uncover the strategies and insights you need to thrive in the digital age. Whether you're a seasoned entrepreneur, a budding innovator, or a curious enthusiast, "Artificial Intelligence: How to Make Money with the Power of AI" equips you with the knowledge, tools, and frameworks to capitalize on the immense potential of AI-driven innovation. Learn how to identify lucrative opportunities, develop innovative AI solutions, and leverage cutting-edge technologies to drive business growth, enhance competitiveness, and unlock new revenue streams. But that's not all! This comprehensive guide goes beyond theory to provide practical, actionable advice and real-world case studies that illustrate how leading companies and visionary entrepreneurs are harnessing the power of AI to achieve extraordinary success. From identifying profitable AI opportunities to monetizing data, building AI-driven products, and navigating the future of AI economics, this book is your indispensable companion on the path to AI-driven prosperity. Whether you're a business leader seeking to stay ahead of the curve, a startup founder looking to disrupt industries, or an investor exploring the next big opportunity, "Artificial Intelligence: How to Make Money with the Power of AI" is your definitive roadmap to unlocking the full potential of AI for economic growth, innovation, and financial success. Don't miss your chance to be at the forefront of the AI revolution. Get your copy of "Artificial Intelligence: How to Make Money with the Power of AI" today and embark on a transformative journey towards unlimited possibilities and unparalleled success in the digital age!