2025-06-23. 00:52
nfo
English | 2025 | ISBN: 1633437051 | 368 pages | True/Retail EPUB | 6.34 MB
nfo
[cut]
Free Download A hands-on guide for delivering value with AI-driven products! Learn how AI can improve content creation, accelerate data analysis, and upgrade process automation.
The Art of AI Product Developmentoffers a clear, practical approach to creating products that use AI. It provides real-world guidance on defining your AI strategy, developing useful AI features, and supporting user trust and adoption. Rather than chasing trends, the book focuses on core principles and long-term thinking-foundations that remain relevant as the field evolves.
InsideThe Art of AI Product Development, you will learn vital skills for the effective use of AI, including:
Identifying market and business opportunities for AIGaining an in-depth understanding of modern AI approaches, incl. predictive AI, LLMs, Retrieval-Augmented Generation, and agent systemsAssembling AI solutions that work, without the hypeEfficiently communicating with data scientists and ML engineersDesigning user-friendly AI interfaces that emphasize trust and transparencyImplementing safe, ethical AI with proper governance processes
The Art of AI Product Developmentis written for product managers, tech executives, UX designers, and anyone responsible for the success of an AI-driven product. It introduces a broad spectrum of AI opportunities and case studies from different domains such as marketing, supply chain, and logistics. You'll carefully progress from initial design conversations, through to efficient and secure development, and on to deployment and day-to-day management of AI-driven applications.
About the technology
Integrating AI into your software and processes can create real value for your business and its customers-if you do it right. When you're on the hook for delivering AI-enabled products, you'll need to spot high-impact opportunities, work effectively with engineers, design user-centric features, avoid common project failures, and manage real-world launches. This book shows you how.
About the book
The Art of AI Product Developmentgives you a clear framework, practical tools, and real-world examples to build confidence and succeed with new AI projects-even if you're tackling AI for the first time. You'll love the practical use cases and end-to-end scenarios from domains such as marketing, supply chain management, and sustainability.
What's insideIdeate, shape, and prioritize AI opportunitiesDevelop AI systems with techniques such as prompt engineering, RAG, and predictive AICommunicate with different AI stakeholders and promote AI adoption
About the reader
Written for software product managers, business-oriented engineers, UX designers, startup founders, and anyone responsible for developing, designing, or marketing AI products. No experience with AI required.
About the author
Dr.Janna Lipenkovais the founder of an AI and analytics business where she has successfully managed AI projects for world-class companies like BMW, Lufthansa, and Volkswagen.
Table of Contents
Part 1
1 Creating value with AI-driven products
2 Discovering and prioritizing AI opportunities
3 Mapping the AI solution space
Part 2
4 Predictive AI
5 Exploring and evaluating language models
6 Prompt engineering
7 Search and retrieval-augmented generation
8 Fine-tuning language models
9 Automating workflows with agentic AI
Part 3
10 AI user experience: Designing for uncertainty
11 AI...
[download]
[/download]
Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
English | 2025 | ISBN: 1633437051 | 368 pages | True/Retail EPUB | 6.34 MB
nfo
[cut]
Free Download A hands-on guide for delivering value with AI-driven products! Learn how AI can improve content creation, accelerate data analysis, and upgrade process automation.
The Art of AI Product Developmentoffers a clear, practical approach to creating products that use AI. It provides real-world guidance on defining your AI strategy, developing useful AI features, and supporting user trust and adoption. Rather than chasing trends, the book focuses on core principles and long-term thinking-foundations that remain relevant as the field evolves.
InsideThe Art of AI Product Development, you will learn vital skills for the effective use of AI, including:
Identifying market and business opportunities for AIGaining an in-depth understanding of modern AI approaches, incl. predictive AI, LLMs, Retrieval-Augmented Generation, and agent systemsAssembling AI solutions that work, without the hypeEfficiently communicating with data scientists and ML engineersDesigning user-friendly AI interfaces that emphasize trust and transparencyImplementing safe, ethical AI with proper governance processes
The Art of AI Product Developmentis written for product managers, tech executives, UX designers, and anyone responsible for the success of an AI-driven product. It introduces a broad spectrum of AI opportunities and case studies from different domains such as marketing, supply chain, and logistics. You'll carefully progress from initial design conversations, through to efficient and secure development, and on to deployment and day-to-day management of AI-driven applications.
About the technology
Integrating AI into your software and processes can create real value for your business and its customers-if you do it right. When you're on the hook for delivering AI-enabled products, you'll need to spot high-impact opportunities, work effectively with engineers, design user-centric features, avoid common project failures, and manage real-world launches. This book shows you how.
About the book
The Art of AI Product Developmentgives you a clear framework, practical tools, and real-world examples to build confidence and succeed with new AI projects-even if you're tackling AI for the first time. You'll love the practical use cases and end-to-end scenarios from domains such as marketing, supply chain management, and sustainability.
What's insideIdeate, shape, and prioritize AI opportunitiesDevelop AI systems with techniques such as prompt engineering, RAG, and predictive AICommunicate with different AI stakeholders and promote AI adoption
About the reader
Written for software product managers, business-oriented engineers, UX designers, startup founders, and anyone responsible for developing, designing, or marketing AI products. No experience with AI required.
About the author
Dr.Janna Lipenkovais the founder of an AI and analytics business where she has successfully managed AI projects for world-class companies like BMW, Lufthansa, and Volkswagen.
Table of Contents
Part 1
1 Creating value with AI-driven products
2 Discovering and prioritizing AI opportunities
3 Mapping the AI solution space
Part 2
4 Predictive AI
5 Exploring and evaluating language models
6 Prompt engineering
7 Search and retrieval-augmented generation
8 Fine-tuning language models
9 Automating workflows with agentic AI
Part 3
10 AI user experience: Designing for uncertainty
11 AI...
[download]
[/download]
Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me
Idézet:A kódrészlet megtekintéséhez be kell jelentkezned, vagy nincs jogosultságod a tartalom megtekintéséhez.Links are Interchangeable - Single Extraction
