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Enterprise AI: Embedding Intelligence into the Modern Enterprise
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- FormatePub
- ISBN8232590123
- EAN9798232590123
- Date de parution16/01/2026
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurDraft2Digital
Résumé
Enterprise AI is no longer a side experiment or innovation showpiece; it is fast becoming the hidden operating system of modern enterprises. Yet most organizations are still stuck in a limbo of disconnected pilots, dashboard vanity, and fragile integrations that never quite scale. "Enterprise AI: Embedding Intelligence into the Modern Enterprise" is a blueprint for breaking out of that limbo and turning AI into a durable source of competitive advantage, not just a series of clever demos.
Drawing on two decades of digital transformation and AI program experience, Shameem Ansari reframes Enterprise AI as an end-to-end redesign of how an organization learns, decides, and delivers value. The book moves systematically from strategy to architecture to execution: defining what "embedded intelligence" really means, mapping AI to real enterprise workflows, modernizing legacy estates without burning them down, and building the data, MLOps, AIOps, and governance foundations that make AI dependable at scale.
Along the way, it introduces concrete, practitioner-ready frameworks such as the Enterprise AI Integration Blueprint (EAI-B), the Workflow Intelligence Framework, and the Cognitive Project Management Framework (CPMF) for AI and data science initiatives. This is not a book about abstract promise; it is a field guide to making AI work inside messy, regulated, politically complex organizations. From generative and agentic AI to edge intelligence and low-code platforms, from responsible AI and risk management to value realization and financial stewardship, each chapter translates hype into actionable patterns that CIOs, CDOs, CTOs, architects, product leaders, and transformation teams can apply immediately.
By the time you reach the SmartPort AI end-to-end case study and the concluding reflections, you will have a clear, practical understanding of how to weave intelligence into the fabric of your enterprise-across systems, workflows, and leadership practices-so that AI stops being a series of experiments and becomes the way your organization actually runs.
Drawing on two decades of digital transformation and AI program experience, Shameem Ansari reframes Enterprise AI as an end-to-end redesign of how an organization learns, decides, and delivers value. The book moves systematically from strategy to architecture to execution: defining what "embedded intelligence" really means, mapping AI to real enterprise workflows, modernizing legacy estates without burning them down, and building the data, MLOps, AIOps, and governance foundations that make AI dependable at scale.
Along the way, it introduces concrete, practitioner-ready frameworks such as the Enterprise AI Integration Blueprint (EAI-B), the Workflow Intelligence Framework, and the Cognitive Project Management Framework (CPMF) for AI and data science initiatives. This is not a book about abstract promise; it is a field guide to making AI work inside messy, regulated, politically complex organizations. From generative and agentic AI to edge intelligence and low-code platforms, from responsible AI and risk management to value realization and financial stewardship, each chapter translates hype into actionable patterns that CIOs, CDOs, CTOs, architects, product leaders, and transformation teams can apply immediately.
By the time you reach the SmartPort AI end-to-end case study and the concluding reflections, you will have a clear, practical understanding of how to weave intelligence into the fabric of your enterprise-across systems, workflows, and leadership practices-so that AI stops being a series of experiments and becomes the way your organization actually runs.
