The AI Optimization Playbook Drive business success with proven AI strategies, best practices, and responsible innovation
-
- Englisch ausgewählt
59,99 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
28.11.2025
Verlag
Packt PublishingSeitenzahl
382
Maße (L/B/H)
23,5/19,1/2,1 cm
Gewicht
712 g
Sprache
Englisch
ISBN
978-1-80611-511-2
Deliver measurable business value by applying strategic, technical, and ethical frameworks to AI initiatives at scale Free 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 levels Book 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 required What 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 organization Who 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
Ein neues Kapitel für Ihre Bücher
Ein neues Kapitel für Ihre Bücher
Schenken Sie Ihren alten Schätzen ein zweites Leben und erhalten Sie dafür eine Thalia Geschenkkarte.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für Ihr Feedback
Wir nutzen Ihr Feedback, um unsere Produktseiten zu verbessern. Bitte haben Sie Verständnis, dass wir Ihnen keine Rückmeldung geben können. Falls Sie Kontakt mit uns aufnehmen möchten, können Sie sich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice