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Paperback or Softback. Condición: New. The AI Optimization Playbook: Drive business success with proven AI strategies, best practices, and responsible innovation. Book.

Condición: New.

Paperback. Condición: New. This practical guide empowers AI and tech leaders to bridge the business-technology divide by optimizing the full AI lifecycle, from strategy and prototyping to scaling and governance, using proven frameworks and enterprise case studies.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: New. Deliver measurable business value by applying strategic, technical, and ethical frameworks to AI initiatives at scaleFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesBuild AI strategies that align with business goals and maximize ROIImplement enterprise-ready frameworks for MLOps, LLMOps, and Responsible AILearn from real-world case studies spanning industries and AI maturity levelsBook DescriptionAI is only as valuable as the business outcomes it enables, and this hands-on guide shows you how to make that happen. Whether you're a technology leader launching your first AI use case or scaling production systems, you need a clear path from innovation to impact. That means aligning your AI initiatives with enterprise strategy, operational readiness, and responsible practices, and The AI Optimization Playbook gives you the clarity, structure, and insight you need to succeed.Through actionable guidance and real-world examples, you'll learn how to build high-impact AI strategies, evaluate projects based on ROI, secure executive sponsorship, and transition prototypes into production-grade systems. You'll also explore MLOps and LLMOps practices that ensure scalability, reliability, and governance across the AI lifecycle.But deployment is just the beginning. This book goes further to address the crucial need for Responsible AI through frameworks, compliance strategies, and transparency techniques. Written by AI experts and industry leaders, this playbook combines technical fluency with strategic perspective to bridge the business-technology divide so you can confidently lead AI transformation across the enterprise.*Email sign-up and proof of purchase requiredWhat you will learnDesign business-aligned AI strategiesSelect and prioritize AI projects with the highest potential ROIDevelop reliable prototypes and scale them using MLOps pipelinesIntegrate explainability, fairness, and compliance into AI systemsApply LLMOps practices to deploy and maintain generative AI modelsBuild AI agents that support autonomous decision-making at scaleNavigate evolving AI regulations with actionable compliance frameworksBuild a future-ready, ethically grounded AI organizationWho this book is forThis book is for AI/ML leaders and business leaders, CTOs, CIOs, CDAOs, and CAIOs, responsible for driving innovation, operational efficiency, and risk mitigation through artificial intelligence. You should have familiarity with enterprise technology and the fundamentals of AI solution development.

Condición: New.

Paperback. Condición: New. Deliver measurable business value by applying strategic, technical, and ethical frameworks to AI initiatives at scaleFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesBuild AI strategies that align with business goals and maximize ROIImplement enterprise-ready frameworks for MLOps, LLMOps, and Responsible AILearn from real-world case studies spanning industries and AI maturity levelsBook DescriptionAI is only as valuable as the business outcomes it enables, and this hands-on guide shows you how to make that happen. Whether you're a technology leader launching your first AI use case or scaling production systems, you need a clear path from innovation to impact. That means aligning your AI initiatives with enterprise strategy, operational readiness, and responsible practices, and The AI Optimization Playbook gives you the clarity, structure, and insight you need to succeed.Through actionable guidance and real-world examples, you'll learn how to build high-impact AI strategies, evaluate projects based on ROI, secure executive sponsorship, and transition prototypes into production-grade systems. You'll also explore MLOps and LLMOps practices that ensure scalability, reliability, and governance across the AI lifecycle.But deployment is just the beginning. This book goes further to address the crucial need for Responsible AI through frameworks, compliance strategies, and transparency techniques. Written by AI experts and industry leaders, this playbook combines technical fluency with strategic perspective to bridge the business-technology divide so you can confidently lead AI transformation across the enterprise.*Email sign-up and proof of purchase requiredWhat you will learnDesign business-aligned AI strategiesSelect and prioritize AI projects with the highest potential ROIDevelop reliable prototypes and scale them using MLOps pipelinesIntegrate explainability, fairness, and compliance into AI systemsApply LLMOps practices to deploy and maintain generative AI modelsBuild AI agents that support autonomous decision-making at scaleNavigate evolving AI regulations with actionable compliance frameworksBuild a future-ready, ethically grounded AI organizationWho this book is forThis book is for AI/ML leaders and business leaders, CTOs, CIOs, CDAOs, and CAIOs, responsible for driving innovation, operational efficiency, and risk mitigation through artificial intelligence. You should have familiarity with enterprise technology and the fundamentals of AI solution development.

Paperback. Condición: New. Deliver measurable business value by applying strategic, technical, and ethical frameworks to AI initiatives at scaleFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesBuild AI strategies that align with business goals and maximize ROIImplement enterprise-ready frameworks for MLOps, LLMOps, and Responsible AILearn from real-world case studies spanning industries and AI maturity levelsBook DescriptionAI is only as valuable as the business outcomes it enables, and this hands-on guide shows you how to make that happen. Whether you're a technology leader launching your first AI use case or scaling production systems, you need a clear path from innovation to impact. That means aligning your AI initiatives with enterprise strategy, operational readiness, and responsible practices, and The AI Optimization Playbook gives you the clarity, structure, and insight you need to succeed.Through actionable guidance and real-world examples, you'll learn how to build high-impact AI strategies, evaluate projects based on ROI, secure executive sponsorship, and transition prototypes into production-grade systems. You'll also explore MLOps and LLMOps practices that ensure scalability, reliability, and governance across the AI lifecycle.But deployment is just the beginning. This book goes further to address the crucial need for Responsible AI through frameworks, compliance strategies, and transparency techniques. Written by AI experts and industry leaders, this playbook combines technical fluency with strategic perspective to bridge the business-technology divide so you can confidently lead AI transformation across the enterprise.*Email sign-up and proof of purchase requiredWhat you will learnDesign business-aligned AI strategiesSelect and prioritize AI projects with the highest potential ROIDevelop reliable prototypes and scale them using MLOps pipelinesIntegrate explainability, fairness, and compliance into AI systemsApply LLMOps practices to deploy and maintain generative AI modelsBuild AI agents that support autonomous decision-making at scaleNavigate evolving AI regulations with actionable compliance frameworksBuild a future-ready, ethically grounded AI organizationWho this book is forThis book is for AI/ML leaders and business leaders, CTOs, CIOs, CDAOs, and CAIOs, responsible for driving innovation, operational efficiency, and risk mitigation through artificial intelligence. You should have familiarity with enterprise technology and the fundamentals of AI solution development.

Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Paperback. Condición: new. Paperback. Deliver measurable business value by applying strategic, technical, and ethical frameworks to AI initiatives at scaleFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*Key FeaturesBuild AI strategies that align with business goals and maximize ROIImplement enterprise-ready frameworks for MLOps, LLMOps, and Responsible AILearn from real-world case studies spanning industries and AI maturity levelsBook DescriptionAI is only as valuable as the business outcomes it enables, and this hands-on guide shows you how to make that happen. Whether youre a technology leader launching your first AI use case or scaling production systems, you need a clear path from innovation to impact. That means aligning your AI initiatives with enterprise strategy, operational readiness, and responsible practices, and The AI Optimization Playbook gives you the clarity, structure, and insight you need to succeed.Through actionable guidance and real-world examples, youll learn how to build high-impact AI strategies, evaluate projects based on ROI, secure executive sponsorship, and transition prototypes into production-grade systems. Youll also explore MLOps and LLMOps practices that ensure scalability, reliability, and governance across the AI lifecycle.But deployment is just the beginning. This book goes further to address the crucial need for Responsible AI through frameworks, compliance strategies, and transparency techniques. Written by AI experts and industry leaders, this playbook combines technical fluency with strategic perspective to bridge the businesstechnology divide so you can confidently lead AI transformation across the enterprise.*Email sign-up and proof of purchase requiredWhat you will learnDesign business-aligned AI strategiesSelect and prioritize AI projects with the highest potential ROIDevelop reliable prototypes and scale them using MLOps pipelinesIntegrate explainability, fairness, and compliance into AI systemsApply LLMOps practices to deploy and maintain generative AI modelsBuild AI agents that support autonomous decision-making at scaleNavigate evolving AI regulations with actionable compliance frameworksBuild a future-ready, ethically grounded AI organizationWho this book is forThis book is for AI/ML leaders and business leaders, CTOs, CIOs, CDAOs, and CAIOs, responsible for driving innovation, operational efficiency, and risk mitigation through artificial intelligence. You should have familiarity with enterprise technology and the fundamentals of AI solution development. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deliver measurable business value by applying strategic, technical, and ethical frameworks to AI initiatives at scaleFree with your book: DRM-free PDF version + access to Packt's next-gen Reader\*Key Features: Build AI strategies that align with business goals and maximize ROI Implement enterprise-ready frameworks for MLOps, LLMOps, and Responsible AI Learn from real-world case studies spanning industries and AI maturity levelsBook Description:AI is only as valuable as the business outcomes it enables, and this hands-on guide shows you how to make that happen. Whether you're a technology leader launching your first AI use case or scaling production systems, you need a clear path from innovation to impact. That means aligning your AI initiatives with enterprise strategy, operational readiness, and responsible practices, and The AI Optimization Playbook gives you the clarity, structure, and insight you need to succeed.Through actionable guidance and real-world examples, you'll learn how to build high-impact AI strategies, evaluate projects based on ROI, secure executive sponsorship, and transition prototypes into production-grade systems. You'll also explore MLOps and LLMOps practices that ensure scalability, reliability, and governance across the AI lifecycle.But deployment is just the beginning. This book goes further to address the crucial need for Responsible AI through frameworks, compliance strategies, and transparency techniques. Written by AI experts and industry leaders, this playbook combines technical fluency with strategic perspective to bridge the business-technology divide so you can confidently lead AI transformation across the enterprise.\*Email sign-up and proof of purchase requiredWhat You Will Learn: Design business-aligned AI strategies Select and prioritize AI projects with the highest potential ROI Develop reliable prototypes and scale them using MLOps pipelines Integrate explainability, fairness, and compliance into AI systems Apply LLMOps practices to deploy and maintain generative AI models Build AI agents that support autonomous decision-making at scale Navigate evolving AI regulations with actionable compliance frameworks Build a future-ready, ethically grounded AI organizationWho this book is for:This book is for AI/ML leaders and business leaders, CTOs, CIOs, CDAOs, and CAIOs, responsible for driving innovation, operational efficiency, and risk mitigation through artificial intelligence. You should have familiarity with enterprise technology and the fundamentals of AI solution development.Table of Contents Understanding the Perils of AI Products Building the Enterprise AI Strategy Selecting High-Impact AI Projects Beyond the Build: Gaining Leadership Support for AI Initiatives Building an AI Proof of Concept and Measuring Your Solution Beyond Accuracy: A Guide to Defining Metrics for Adoption From Model to Market: Operationalizing ML Systems From Metrics to Measurement: Experimentation and Causal Inference Generative AI in the Enterprise: Unlocking New Opportunities Understanding GenAI Operations AI Agents Explained Introduction to Responsible AI Implementing RAI Frameworks, Metrics, and Best Practices Building Trustworthy LLMs and Generative AI Regulatory and Legal Frameworks for Responsible AI The Future of AI Optimization: Trends, Vision, and Responsible Implementation.

Taschenbuch. Condición: Neu. The AI Optimization Playbook | Drive business success with proven AI strategies, best practices, and responsible innovation | Chun Schiros (u. a.) | Taschenbuch | Englisch | 2025 | Packt Publishing | EAN 9781806115112 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.