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AI for Business Leaders. Lead Your Business with No-Code AI Prototypes and Real ROI

Par : Mira Jovanovic
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Disponible dans votre compte client Decitre ou Furet du Nord dès validation de votre commande. Le format ePub est :
  • Compatible avec une lecture sur My Vivlio (smartphone, tablette, ordinateur)
  • Compatible avec une lecture sur liseuses Vivlio
  • Pour les liseuses autres que Vivlio, vous devez utiliser le logiciel Adobe Digital Edition. Non compatible avec la lecture sur les liseuses Kindle, Remarkable et Sony
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  • FormatePub
  • ISBN8259603936
  • EAN9798259603936
  • Date de parution29/06/2026
  • Protection num.pas de protection
  • Taille819 Ko
  • Infos supplémentairesepub
  • ÉditeurChiify

Résumé

AI for business leaders seeking generative AI ROI and AI decision framework for growth. This practical, hands-on guide turns generative AI into real growth and efficiency, with a decision framework for use cases, risk, ROI, and rolling out tools that pay off. From beginner to pro, you'll learn to evaluate AI use cases, manage risk, calculate ROI, and deploy tools that deliver measurable results. No fluff-just actionable strategies for executives and managers.
Competing titles like 2084 and the AI Revolution by [placeholder] and AI for Beginners by [placeholder] offer broader views, but this book focuses on business decision-making. Inside: a step-by-step framework for selecting AI projects, assessing technical and ethical risks, and building a rollout plan that aligns with your organization's goals. Real-world examples from finance, healthcare, and retail show how leaders have turned AI hype into hard savings.
You'll also get templates for ROI calculation, risk matrices, and stakeholder communication. Whether you're a CEO, VP, or team lead, this book equips you to lead AI initiatives with confidence. By the end, you'll have a clear path to turning generative AI into a competitive advantage. Mira Jovanovic distills years of experience advising Fortune 500 firms on AI adoption. Don't let AI pass you by-get the framework that pays off. This hands-on AI/ML/Data guide is written to be used at the keyboard: every concept is paired with something you can run, adapt, and keep.
You move from first principles to real, working results, with the common errors and fixes called out along the way so you are never stuck for long.