Isbn: 9798253635537 - from pilot phase to actual customers: hard lessons in scaling digital transformation and ai adoption in small or medium-sized companies (5 Ergebnisse)

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. Print on Demand.

Paperback. Zustand: new. Paperback. The book fills a very important gap between AI experimentation and enterprise-wide value, where the authors believe that most small and medium-sized businesses go wrong. It breaks down the fallacy that a successful pilot means the organization is ready. I especially appreciate that this book does not treat AI as a purely technical issue, but rather as a socio-technical one. It tells you that the bottlenecks are not your algorithms, but the knowledge that your employees take for granted, the workarounds they have developed, and the psychological contract between your company and your staff. In an economy where the only sustainable competitive advantage is speed and deep contextual understanding, the core argument of this book could not be more timely. In a world where we are moving away from a billable-hour economy to an outcome-based economy, the authors show you how to go from AI as a "co-pilot" to AI as a "colleague". This means reinventing your data architecture, your governance, and your business models. The book also correctly points out that in today's technological environment, you need to move away from discounting as a strategy and become an "AI-Generalist" organization where your employees worry about strategy and ethics, and your computers do the execution. If you're a young professional or student, this book shows you how to future-proof your career. It changes the dominant narrative around AI from something that threatens your job to something that can set you free. As the authors discuss the emergence of the "AI Generalist", a professional who develops the judgment to provide oversight, the fluency to understand context, and the skills to define problems in human terms, it becomes clear that the future belongs not to those who can code, but to those who can translate business problems into intelligent workflows. The authors make a strong case that the managers who can orchestrate collaboration between humans and machines will be the leaders of the next decade. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Zustand: new. Paperback. The book fills a very important gap between AI experimentation and enterprise-wide value, where the authors believe that most small and medium-sized businesses go wrong. It breaks down the fallacy that a successful pilot means the organization is ready. I especially appreciate that this book does not treat AI as a purely technical issue, but rather as a socio-technical one. It tells you that the bottlenecks are not your algorithms, but the knowledge that your employees take for granted, the workarounds they have developed, and the psychological contract between your company and your staff. In an economy where the only sustainable competitive advantage is speed and deep contextual understanding, the core argument of this book could not be more timely. In a world where we are moving away from a billable-hour economy to an outcome-based economy, the authors show you how to go from AI as a "co-pilot" to AI as a "colleague". This means reinventing your data architecture, your governance, and your business models. The book also correctly points out that in today's technological environment, you need to move away from discounting as a strategy and become an "AI-Generalist" organization where your employees worry about strategy and ethics, and your computers do the execution. If you're a young professional or student, this book shows you how to future-proof your career. It changes the dominant narrative around AI from something that threatens your job to something that can set you free. As the authors discuss the emergence of the "AI Generalist", a professional who develops the judgment to provide oversight, the fluency to understand context, and the skills to define problems in human terms, it becomes clear that the future belongs not to those who can code, but to those who can translate business problems into intelligent workflows. The authors make a strong case that the managers who can orchestrate collaboration between humans and machines will be the leaders of the next decade. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…