ISBN: 9798195327279 - ai enabled product engineering: an engineering manager's guide to building with intelligence (5 resultados)

Paperback. Condición: new. Paperback. AI Enabled Product Engineering is the definitive field guide for engineering and product leaders navigating the complex transition into the age of artificial intelligence. While most AI discussions remain at the executive level, this book moves the conversation into the "trenches"-the code repositories, planning sessions, and retrospectives where technical execution actually happens.Author Aruna Veerappan provides a grounded, practical framework for treating AI not as a "black box" or a threat, but as an intelligent partner that amplifies strategic vision and accelerates team performance. From discovery and design to deployment and customer support, this guide covers the full product engineering lifecycle, offering concrete strategies to lead with data, purpose, and augmentation.Key Frameworks and Features: The AI Quotient (AIQ): Learn to develop the essential 21st-century leadership competency needed to understand and leverage AI effectively.Responsible AI Framework: Build ethical guardrails using the Mirror Test and Bias Audits to ensure compliance and trustworthiness.The AI Scorecard: Implement a strategic tool to quantify the real business value of AI integration across five core dimensions.Decision Partnership: Master the Three-Lens Review to know when to trust algorithmic recommendations and when to apply critical human judgment.Human-Machine Symbiosis: Foster an organizational culture that remains resilient and future-proof in an era of rapid technological disruption.What You Will Learn: How to integrate AI-driven insights to ship features 30-40% faster.Strategies for automating code generation, bug detection, and test creation using tools like GitHub Copilot.How to optimize DORA metrics and build self-healing DevOps pipelines.Ways to transform customer support with emotion-aware AI and proactive issue prevention.Techniques for leading, upskilling, and maintaining psychological safety in AI-augmented teams.About the AuthorAruna Veerappan is a seasoned engineering leader with over two decades of experience driving large-scale technology transformations across e-commerce, logistics, and enterprise software. A frequent speaker and mentor, she specializes in weaving AI into everyday workflows to catalyze smarter decision-making and more resilient teams. Her mission is to help leaders thrive in a world where technology and humanity grow stronger together. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Chakraborty, Anika (ilustrador).…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Chakraborty, Anika (ilustrador).

Condición: New. Print on Demand. Chakraborty, Anika (ilustrador).

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Chakraborty, Anika (ilustrador).

Paperback. Condición: new. Paperback. AI Enabled Product Engineering is the definitive field guide for engineering and product leaders navigating the complex transition into the age of artificial intelligence. While most AI discussions remain at the executive level, this book moves the conversation into the "trenches"-the code repositories, planning sessions, and retrospectives where technical execution actually happens.Author Aruna Veerappan provides a grounded, practical framework for treating AI not as a "black box" or a threat, but as an intelligent partner that amplifies strategic vision and accelerates team performance. From discovery and design to deployment and customer support, this guide covers the full product engineering lifecycle, offering concrete strategies to lead with data, purpose, and augmentation.Key Frameworks and Features: The AI Quotient (AIQ): Learn to develop the essential 21st-century leadership competency needed to understand and leverage AI effectively.Responsible AI Framework: Build ethical guardrails using the Mirror Test and Bias Audits to ensure compliance and trustworthiness.The AI Scorecard: Implement a strategic tool to quantify the real business value of AI integration across five core dimensions.Decision Partnership: Master the Three-Lens Review to know when to trust algorithmic recommendations and when to apply critical human judgment.Human-Machine Symbiosis: Foster an organizational culture that remains resilient and future-proof in an era of rapid technological disruption.What You Will Learn: How to integrate AI-driven insights to ship features 30-40% faster.Strategies for automating code generation, bug detection, and test creation using tools like GitHub Copilot.How to optimize DORA metrics and build self-healing DevOps pipelines.Ways to transform customer support with emotion-aware AI and proactive issue prevention.Techniques for leading, upskilling, and maintaining psychological safety in AI-augmented teams.About the AuthorAruna Veerappan is a seasoned engineering leader with over two decades of experience driving large-scale technology transformations across e-commerce, logistics, and enterprise software. A frequent speaker and mentor, she specializes in weaving AI into everyday workflows to catalyze smarter decision-making and more resilient teams. Her mission is to help leaders thrive in a world where technology and humanity grow stronger together. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Chakraborty, Anika (ilustrador).…