Architecting Enterprise AI Strategies
Apress (Verlag)
979-8-8688-2218-6 (ISBN)
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Structured around global trends, core enterprise layers (data, application, infrastructure, and business) and varying organizational maturity levels, it uniquely bridges the gap between high-level executive vision and on-the-ground architectural execution, while keeping the Human Endpoint Principle at its core—ensuring that every system ultimately serves people.
You Will:
Learn how to assess your organization's readiness for AI and Generative AI adoption
Discover frameworks that align AI with business goals, governance, and compliance while confronting ethical risks.
Understand why many AI projects fail to deliver expected value and how to avoid adoption turning into loss.
Apply enterprise architecture strategies to embed AI across data, applications, and infrastructure with built-in governance, scalability, and human-centered sustainability.
This book is for: Enterprise Architects, CTOs, as well as students and professionals eager to explore how AI can be adopted responsibly and sustainably across organizations of every scale.
Rajnish Harjika is a seasoned technology leader with over 20 years of global experience in enterprise architecture, AI/ML, and digital transformation across diverse industries, including banking, healthcare, and smart cities. He has held pivotal roles such as Chief Enterprise Architect and VP of Technology, spearheading large-scale AI adoption and cloud modernization initiatives across North America, the Middle East, and Asia. A sought-after keynote speaker and published author, Rajnish combines strategic foresight with deep technical expertise to empower organizations, from startups to global enterprises, to scale responsibly in the AI era. He has completed a PhD in Strategic Management with a focus on AI and Generative AI.
1:The Global Shift to AI - Hype vs. Reality.- Strategic Foundations - 2.:The Role of Enterprise Architecture in AI Adoption.- 3:Challenges Across the AI Journey-From Startups to Global Enterprises.- 4: Data-The Real AI Enabler.- 5: Architecting AI at Scale-Technical Patterns and Platforms.- 6: Real World Use Cases-AI That Actually Works.- 7: Guardrails for Innovation-Governance, Ethics, and Responsible AI.- 8: Future Ready Strategy-Building a Culture of AI Transformation.- 9: Summary.
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Zusatzinfo | 19 Illustrations, color; 2 Illustrations, black and white |
| Verlagsort | Berkley |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Informatik ► Office Programme ► Outlook |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
| Wirtschaft ► Allgemeines / Lexika | |
| Schlagworte | AI Adoption • AI governance • AI integration patterns • ai strategy • GenAI • Scalable AI |
| ISBN-13 | 979-8-8688-2218-6 / 9798868822186 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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