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Written from the perspective of an experienced IT expert, this book leverages a maturity model framework to guide organizations through each stage of adopting, securing, scaling, and tracking the value of low-code AI responsibly and efficiently. Unlike other works that focus only on AI’s technical aspects, this book boasts a practical roadmap for responsible AI adoption and provides a clear, structured maturity model that guides organizations from foundational steps to advanced, responsible AI practices.
In a world where organizations are under pressure to innovate quickly and responsibly, this book provides a structured approach, addressing essential elements such as data management, governance, ethics and compliance in low-code AI environments. Each chapter represents a maturity level, from foundational to optimized, offering readers insights, practical steps and examples to support their journey.
takes a comprehensive look into the transformative potential of low-code and AI.
What You Will Learn
- Identify, assess and mitigate risks to ensure stable and reliable AI deployments
- Implement robust governance, aligning with compliance standards and ethical principles at each maturity stage
- Evaluate the real business value and ROI of AI projects, empowering data-driven decision-making
Who This Book Is For
IT leaders, decision-makers, and technology enthusiasts interested in the transformative potential of low-code and AI
Produkteigenschaften
- Artikelnummer: 9798868817298
- Medium: Buch
- ISBN: 979-8-8688-1729-8
- Verlag: Apress
- Erscheinungstermin: 27.09.2025
- Sprache(n): Englisch
- Auflage: 1. Auflage 2025
- Produktform: Kartoniert, Paperback
- Gewicht: 931 g
- Seiten: 594
- Format (B x H x T): 155 x 235 x 34 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Interdisziplinäres
- Wissenschaften
- Wissenschaften: Forschung und Information
- Informationstheorie, Kodierungstheorie
- Wirtschaftswissenschaften
- Betriebswirtschaft
- Unternehmensorganisation, Corporate Responsibility
- Unternehmensethik
- Interdisziplinäres
- Wissenschaften
- Wissenschaften: Forschung und Information
- Informationstheorie, Kodierungstheorie