ISBN: 9798993880679 - ai implementation blind spots: how to make ai adoption work in real business systems (ai strategy and implementation) (8 resultados)

Condición: New.

Paperback. Condición: New.

Paperback. Condición: New.

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI Implementation Blind Spots is a practical field manual for leaders, operators, consultants, AI strategists, MSPs, IT teams, cybersecurity professionals, finance teams, healthcare administrators, portfolio operators, and business decision-makers who need AI to work inside real organizations - not just look impressive in demos.Most organizations do not fail with AI because they lack tools. They fail because they confuse speed with value, pilots with proof, adoption with implementation, and output with trusted usable work.This book gives readers a decision-first system for reducing AI rework, defining human-versus-AI boundaries, measuring real ROI, controlling risk, and deciding which AI projects deserve scale - and which should stop.Inside, readers learn how to recognize the Velocity Trap, avoid AI Theater, measure the Rework Tax, build Evidence Packs, design Decision Boundaries, protect against Shadow Ledger risk, and apply practical AI implementation playbooks across revenue, operations, finance, cybersecurity, healthcare administration, procurement, and regulated environments.This is not a prompt guide, vendor brochure, or AI hype book. It is a practical business field manual for turning AI speed into measurable, governed, and trusted results.Paperback ISBN: 979-8-9938806-7-9eBook ISBN: 979-8-9938806-5-5Library of Congress Control Number: 2026912042.…

Paperback. Condición: new. Paperback. AI Implementation Blind Spots is a practical field manual for leaders, operators, consultants, AI strategists, MSPs, IT teams, cybersecurity professionals, finance teams, healthcare administrators, portfolio operators, and business decision-makers who need AI to work inside real organizations - not just look impressive in demos.Most organizations do not fail with AI because they lack tools. They fail because they confuse speed with value, pilots with proof, adoption with implementation, and output with trusted usable work.This book gives readers a decision-first system for reducing AI rework, defining human-versus-AI boundaries, measuring real ROI, controlling risk, and deciding which AI projects deserve scale - and which should stop.Inside, readers learn how to recognize the Velocity Trap, avoid AI Theater, measure the Rework Tax, build Evidence Packs, design Decision Boundaries, protect against Shadow Ledger risk, and apply practical AI implementation playbooks across revenue, operations, finance, cybersecurity, healthcare administration, procurement, and regulated environments.This is not a prompt guide, vendor brochure, or AI hype book. It is a practical business field manual for turning AI speed into measurable, governed, and trusted results.Paperback ISBN: 979-8-9938806-7-9eBook ISBN: 979-8-9938806-5-5Library of Congress Control Number: 2026912042 A practical field manual for turning AI adoption into measurable business value through decision architecture, Rework Tax measurement, risk control, and scale-or-stop discipline. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. AI Implementation Blind Spots | How to Make AI Adoption Work in Real Business Systems | Nikolay Gul | Taschenbuch | Englisch | 2026 | Future-Proof Marketing Press | EAN 9798993880679 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …