Art of The AI Product Development
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From the back cover: The Art of AI Product Development you how to effectively integrate generative AI into both established and new built-for-AI digital products. The book presents a unified mental model of AI systems that will help you drive innovation, enhance customer experiences, and improve operational efficiency with AI. Inside, you'll find an intuitive account of the necessary background knowledge in AI, a toolkit of templates and design patterns for creating amazing user experiences. About the reader: For anyone responsible for developing, designing, and marketing AI products. No technical experience required. AI hype is everywhere. It is easy to get caught up in buzzwords and promises, but turning ideas into real products that delight users and drive revenue takes more than excitement. Many teams struggle to align around a shared vision, pick the right technologies, or design user experiences that feel natural and trustworthy. What if you had a practical guide that shows you how to cut through the noise and build AI solutions that actually work in the real world? Unified mental model: align teams around a clear AI vision. Opportunity mapping toolkit: spot profitable use cases before competitors. Technology evaluation checklist: choose the right models, vendors, and architectures confidently. Human-centered design patterns: build intuitive, trustworthy AI interfaces users will love. Ethics and governance playbook: reduce risk, ensure compliance, and safeguard brand reputation. Cross-functional collaboration tips: communicate smoothly with data scientists and engineers. Written by AI strategist Janna Lipenkova, The Art of AI Product Development is a concise, hands-on roadmap from idea through daily operations. Practical examples merge with templates, checklists, and case studies to keep every chapter actionable. You explore opportunity discovery, model selection, interface design, deployment, and governance without drowning in math. By the end, you can pitch, build, and scale AI features that move key metrics. Instead of chasing trends, you will lead them. Perfect for product managers, designers, marketers, and executives who need profitable, responsible AI now.
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From the back cover: The Art of AI Product Development you how to effectively integrate generative AI into both established and new built-for-AI digital products. The book presents a unified mental model of AI systems that will help you drive innovation, enhance customer experiences, and improve operational efficiency with AI. Inside, you'll find an intuitive account of the necessary background knowledge in AI, a toolkit of templates and design patterns for creating amazing user experiences. About the reader: For anyone responsible for developing, designing, and marketing AI products. No technical experience required. AI hype is everywhere. It is easy to get caught up in buzzwords and promises, but turning ideas into real products that delight users and drive revenue takes more than excitement. Many teams struggle to align around a shared vision, pick the right technologies, or design user experiences that feel natural and trustworthy. What if you had a practical guide that shows you how to cut through the noise and build AI solutions that actually work in the real world? Unified mental model: align teams around a clear AI vision. Opportunity mapping toolkit: spot profitable use cases before competitors. Technology evaluation checklist: choose the right models, vendors, and architectures confidently. Human-centered design patterns: build intuitive, trustworthy AI interfaces users will love. Ethics and governance playbook: reduce risk, ensure compliance, and safeguard brand reputation. Cross-functional collaboration tips: communicate smoothly with data scientists and engineers. Written by AI strategist Janna Lipenkova, The Art of AI Product Development is a concise, hands-on roadmap from idea through daily operations. Practical examples merge with templates, checklists, and case studies to keep every chapter actionable. You explore opportunity discovery, model selection, interface design, deployment, and governance without drowning in math. By the end, you can pitch, build, and scale AI features that move key metrics. Instead of chasing trends, you will lead them. Perfect for product managers, designers, marketers, and executives who need profitable, responsible AI now.
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