Managing Artificial Intelligence (AI) Adoption and Challenges
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Manage Your AI Adoption and ChallengesA practical, human-first playbook for leaders who must turn AI from a technical novelty into a defended, ethical, and scalable advantage. Drawing on real pilots, industry case studies, and proven frameworks, Manage Your AI Adoption and Challenges provides how to move from vision to operational value-fast and safely. Rajeev RK lays out a step-by-step roadmap: craft a measurable AI vision, run 90-day pilots that teach faster than they fail, build federated platforms and MLOps, and embed governance, security, and explainability into every lifecycle stage.This book balances strategy with hands-on tactics: how to democratize AI for non-developers, convert skepticism into readiness, secure models and data, comply with emerging standards, and reskill workforces for hybrid human-AI roles. Leaders will find checklists, decision points, and playbooks for ISO/IEC 42001, the EU AI Act, NIST guidance, model security, and change management-plus vivid stories of hospitals, insurers, manufacturers, and telecoms that turned pilots into competitive advantage.Clear, actionable, and people-centered, this is the essential guide for executives, product owners, and practitioners who want AI that delivers measurable outcomes while preserving trust, dignity, and resilience.
Manage Your AI Adoption and ChallengesA practical, human-first playbook for leaders who must turn AI from a technical novelty into a defended, ethical, and scalable advantage. Drawing on real pilots, industry case studies, and proven frameworks, Manage Your AI Adoption and Challenges provides how to move from vision to operational value-fast and safely. Rajeev RK lays out a step-by-step roadmap: craft a measurable AI vision, run 90-day pilots that teach faster than they fail, build federated platforms and MLOps, and embed governance, security, and explainability into every lifecycle stage.This book balances strategy with hands-on tactics: how to democratize AI for non-developers, convert skepticism into readiness, secure models and data, comply with emerging standards, and reskill workforces for hybrid human-AI roles. Leaders will find checklists, decision points, and playbooks for ISO/IEC 42001, the EU AI Act, NIST guidance, model security, and change management-plus vivid stories of hospitals, insurers, manufacturers, and telecoms that turned pilots into competitive advantage.Clear, actionable, and people-centered, this is the essential guide for executives, product owners, and practitioners who want AI that delivers measurable outcomes while preserving trust, dignity, and resilience.
AmazonPagina's: 90, Hardcover, Notion Press
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