<p><b>Why Do 85% of AI Projects Fail? And What Successful Leaders Do Differently.</b></p><p>Artificial Intelligence is reshaping industries—yet most AI initiatives never make it out of the pilot stage. They exceed budgets face ethical backlash or fail to integrate into real-world workflows. The problem isn’t the technology—it’s the management.</p><p>In <i>Managing Innovative AI Projects</i> Jayakumar K R & Alain Abran deliver the first complete framework designed specifically for the unique complexities of AI. This isn’t another high-level theory book. It’s a practitioner’s guide built on decades of experience that equips you to:</p><p>- <b>Classify AI projects</b>—from incremental upgrades to disruptive agentic systems—& apply the right lifecycle for each.<br/>- <b>Embed risk management and ethical guardrails</b> from day one using actionable checklists and governance templates.<br/>- <b>Track what truly matters with tailored KPIs</b> across technical business operational and ethical dimensions.<br/>- <b>Scale AI responsibly</b>—with clear guidance on human oversight compliance and model monitoring.</p><p>Packed with engineering process aids ISO-standard frameworks and phase-by-phase execution tools this book is your blueprint for turning AI ambition into measurable outcomes. <b>Whether you’re a project leader C-suite executive or technical practitioner this guide will help you deliver AI that is not only innovative—but also trustworthy scalable & successful.</b></p><p><b>Stop managing AI like traditional software. Start leading with confidence.</b></p>
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